id	sid	tid	token	lemma	pos
easat-2338	1	1	edelweiss	edelweiss	PROPN
easat-2338	1	2	applied	apply	VERB
easat-2338	1	3	science	science	NOUN
easat-2338	1	4	and	and	CCONJ
easat-2338	1	5	technology	technology	NOUN
easat-2338	1	6	issn	issn	PROPN
easat-2338	1	7	:	:	PUNCT
easat-2338	1	8	2576	2576	NUM
easat-2338	1	9	-	-	SYM
easat-2338	1	10	8484	8484	NUM
easat-2338	1	11	vol	vol	NOUN
easat-2338	1	12	.	.	PROPN
easat-2338	1	13	8	8	NUM
easat-2338	1	14	,	,	PUNCT
easat-2338	1	15	no	no	INTJ
easat-2338	1	16	.	.	NOUN
easat-2338	1	17	6	6	NUM
easat-2338	1	18	,	,	PUNCT
easat-2338	1	19	1758	1758	NUM
easat-2338	1	20	-	-	SYM
easat-2338	1	21	1773	1773	NUM
easat-2338	1	22	2024	2024	NUM
easat-2338	1	23	publisher	publisher	NOUN
easat-2338	1	24	:	:	PUNCT
easat-2338	1	25	learning	learn	VERB
easat-2338	1	26	gate	gate	NOUN
easat-2338	1	27	doi	doi	PROPN
easat-2338	1	28	:	:	PUNCT
easat-2338	1	29	10.55214/25768484.v8i6.2338	10.55214/25768484.v8i6.2338	NUM
easat-2338	1	30	©	©	PROPN
easat-2338	1	31	2024	2024	NUM
easat-2338	1	32	by	by	ADP
easat-2338	1	33	the	the	DET
easat-2338	1	34	authors	author	NOUN
easat-2338	1	35	;	;	PUNCT
easat-2338	1	36	licensee	licensee	PROPN
easat-2338	1	37	learning	learning	NOUN
easat-2338	1	38	gate	gate	NOUN
easat-2338	1	39	©	©	PROPN
easat-2338	1	40	2024	2024	NUM
easat-2338	1	41	by	by	ADP
easat-2338	1	42	the	the	DET
easat-2338	1	43	authors	author	NOUN
easat-2338	1	44	;	;	PUNCT
easat-2338	1	45	licensee	licensee	PROPN
easat-2338	1	46	learning	learn	VERB
easat-2338	1	47	gate	gate	NOUN
easat-2338	1	48	*	*	PUNCT
easat-2338	1	49	correspondence	correspondence	NOUN
easat-2338	1	50	:	:	PUNCT
easat-2338	2	1	mariam_al_eissa@hotmail.com	mariam_al_eissa@hotmail.com	PROPN
easat-2338	2	2	machine	machine	NOUN
easat-2338	2	3	learning	learning	NOUN
easat-2338	2	4	-	-	PUNCT
easat-2338	2	5	driven	drive	VERB
easat-2338	2	6	polygenic	polygenic	ADJ
easat-2338	2	7	risk	risk	NOUN
easat-2338	2	8	scores	score	NOUN
easat-2338	2	9	for	for	ADP
easat-2338	2	10	bipolar	bipolar	ADJ
easat-2338	2	11	disorder	disorder	NOUN
easat-2338	2	12	,	,	PUNCT
easat-2338	2	13	depression	depression	NOUN
easat-2338	2	14	,	,	PUNCT
easat-2338	2	15	and	and	CCONJ
easat-2338	2	16	panic	panic	NOUN
easat-2338	2	17	disorder	disorder	NOUN
easat-2338	2	18	sara	sara	PROPN
easat-2338	2	19	benoumhani1,2	benoumhani1,2	PROPN
easat-2338	2	20	,	,	PUNCT
easat-2338	2	21	saima	saima	PROPN
easat-2338	2	22	jabeen1,2	jabeen1,2	PROPN
easat-2338	2	23	,	,	PUNCT
easat-2338	2	24	mariam	mariam	PROPN
easat-2338	2	25	m	m	PROPN
easat-2338	2	26	aleissa1,3,4	aleissa1,3,4	ADJ
easat-2338	2	27	*	*	PUNCT
easat-2338	2	28	1ai	1ai	ADJ
easat-2338	2	29	research	research	NOUN
easat-2338	2	30	center	center	NOUN
easat-2338	2	31	,	,	PUNCT
easat-2338	2	32	college	college	NOUN
easat-2338	2	33	of	of	ADP
easat-2338	2	34	engineering	engineering	NOUN
easat-2338	2	35	,	,	PUNCT
easat-2338	2	36	alfaisal	alfaisal	NOUN
easat-2338	2	37	university	university	NOUN
easat-2338	2	38	,	,	PUNCT
easat-2338	2	39	riyadh	riyadh	PROPN
easat-2338	2	40	,	,	PUNCT
easat-2338	2	41	saudi	saudi	PROPN
easat-2338	2	42	arabia	arabia	PROPN
easat-2338	2	43	;	;	PUNCT
easat-2338	2	44	sbenoumhani@alfaisal.edu	sbenoumhani@alfaisal.edu	PROPN
easat-2338	2	45	(	(	PUNCT
easat-2338	2	46	s.b	s.b	PROPN
easat-2338	2	47	.	.	PUNCT
easat-2338	2	48	)	)	PUNCT
easat-2338	3	1	2software	2software	NUM
easat-2338	3	2	engineering	engineering	NOUN
easat-2338	3	3	department	department	NOUN
easat-2338	3	4	,	,	PUNCT
easat-2338	3	5	college	college	NOUN
easat-2338	3	6	of	of	ADP
easat-2338	3	7	engineering	engineering	NOUN
easat-2338	3	8	,	,	PUNCT
easat-2338	3	9	alfaisal	alfaisal	NOUN
easat-2338	3	10	university	university	NOUN
easat-2338	3	11	,	,	PUNCT
easat-2338	3	12	riyadh	riyadh	PROPN
easat-2338	3	13	,	,	PUNCT
easat-2338	3	14	saudi	saudi	PROPN
easat-2338	3	15	arabia	arabia	PROPN
easat-2338	3	16	;	;	PUNCT
easat-2338	3	17	sjabeen@alfaisal.edu	sjabeen@alfaisal.edu	PROPN
easat-2338	3	18	(	(	PUNCT
easat-2338	3	19	s.j	s.j	PROPN
easat-2338	3	20	.	.	PROPN
easat-2338	3	21	)	)	PUNCT
easat-2338	4	1	3molecular	3molecular	NUM
easat-2338	4	2	genetics	genetic	NOUN
easat-2338	4	3	laboratory	laboratory	NOUN
easat-2338	4	4	,	,	PUNCT
easat-2338	4	5	public	public	ADJ
easat-2338	4	6	health	health	NOUN
easat-2338	4	7	authority	authority	NOUN
easat-2338	4	8	,	,	PUNCT
easat-2338	4	9	riyadh	riyadh	PROPN
easat-2338	4	10	,	,	PUNCT
easat-2338	4	11	saudi	saudi	PROPN
easat-2338	4	12	arabia	arabia	PROPN
easat-2338	4	13	;	;	PUNCT
easat-2338	4	14	mariam_al_eissa@hotmail.com	mariam_al_eissa@hotmail.com	PROPN
easat-2338	4	15	(	(	PUNCT
easat-2338	4	16	m.m.a.e	m.m.a.e	PROPN
easat-2338	4	17	)	)	PUNCT
easat-2338	4	18	4college	4college	PROPN
easat-2338	4	19	of	of	ADP
easat-2338	4	20	medicine	medicine	NOUN
easat-2338	4	21	,	,	PUNCT
easat-2338	4	22	alfaisal	alfaisal	NOUN
easat-2338	4	23	university	university	NOUN
easat-2338	4	24	,	,	PUNCT
easat-2338	4	25	riyadh	riyadh	PROPN
easat-2338	4	26	,	,	PUNCT
easat-2338	4	27	saudi	saudi	PROPN
easat-2338	4	28	arabia	arabia	PROPN
easat-2338	4	29	.	.	PUNCT
easat-2338	5	1	abstract	abstract	ADJ
easat-2338	5	2	:	:	PUNCT
easat-2338	5	3	polygenic	polygenic	ADJ
easat-2338	5	4	risk	risk	NOUN
easat-2338	5	5	score	score	NOUN
easat-2338	5	6	(	(	PUNCT
easat-2338	5	7	prs	prs	NOUN
easat-2338	5	8	)	)	PUNCT
easat-2338	5	9	is	be	AUX
easat-2338	5	10	a	a	DET
easat-2338	5	11	computational	computational	ADJ
easat-2338	5	12	technique	technique	NOUN
easat-2338	5	13	that	that	PRON
easat-2338	5	14	uses	use	VERB
easat-2338	5	15	various	various	ADJ
easat-2338	5	16	genomic	genomic	ADJ
easat-2338	5	17	data	datum	NOUN
easat-2338	5	18	to	to	PART
easat-2338	5	19	simultaneously	simultaneously	ADV
easat-2338	5	20	analyze	analyze	VERB
easat-2338	5	21	an	an	DET
easat-2338	5	22	individ	individ	PROPN
easat-2338	5	23	-	-	PUNCT
easat-2338	5	24	ual	ual	ADJ
easat-2338	5	25	’s	’s	PART
easat-2338	5	26	genetic	genetic	ADJ
easat-2338	5	27	risk	risk	NOUN
easat-2338	5	28	for	for	ADP
easat-2338	5	29	particular	particular	ADJ
easat-2338	5	30	illnesses	illness	NOUN
easat-2338	5	31	or	or	CCONJ
easat-2338	5	32	traits	trait	NOUN
easat-2338	5	33	.	.	PUNCT
easat-2338	6	1	however	however	ADV
easat-2338	6	2	,	,	PUNCT
easat-2338	6	3	the	the	DET
easat-2338	6	4	traditional	traditional	ADJ
easat-2338	6	5	prs	prs	NOUN
easat-2338	6	6	computation	computation	NOUN
easat-2338	6	7	has	have	VERB
easat-2338	6	8	a	a	DET
easat-2338	6	9	few	few	ADJ
easat-2338	6	10	weaknesses	weakness	NOUN
easat-2338	6	11	,	,	PUNCT
easat-2338	6	12	including	include	VERB
easat-2338	6	13	its	its	PRON
easat-2338	6	14	limited	limited	ADJ
easat-2338	6	15	capacity	capacity	NOUN
easat-2338	6	16	to	to	PART
easat-2338	6	17	account	account	VERB
easat-2338	6	18	for	for	ADP
easat-2338	6	19	just	just	ADV
easat-2338	6	20	a	a	DET
easat-2338	6	21	portion	portion	NOUN
easat-2338	6	22	of	of	ADP
easat-2338	6	23	trait	trait	NOUN
easat-2338	6	24	variance	variance	NOUN
easat-2338	6	25	,	,	PUNCT
easat-2338	6	26	susceptibility	susceptibility	NOUN
easat-2338	6	27	to	to	ADP
easat-2338	6	28	overfitting	overfitte	VERB
easat-2338	6	29	,	,	PUNCT
easat-2338	6	30	and	and	CCONJ
easat-2338	6	31	insufficient	insufficient	ADJ
easat-2338	6	32	ability	ability	NOUN
easat-2338	6	33	to	to	PART
easat-2338	6	34	discriminate	discriminate	VERB
easat-2338	6	35	among	among	ADP
easat-2338	6	36	the	the	DET
easat-2338	6	37	larger	large	ADJ
easat-2338	6	38	population	population	NOUN
easat-2338	6	39	.	.	PUNCT
easat-2338	7	1	machine	machine	NOUN
easat-2338	7	2	learning	learning	NOUN
easat-2338	7	3	(	(	PUNCT
easat-2338	7	4	ml	ml	NOUN
easat-2338	7	5	)	)	PUNCT
easat-2338	7	6	methods	method	NOUN
easat-2338	7	7	offer	offer	VERB
easat-2338	7	8	a	a	DET
easat-2338	7	9	promising	promising	ADJ
easat-2338	7	10	alternative	alternative	NOUN
easat-2338	7	11	to	to	ADP
easat-2338	7	12	the	the	DET
easat-2338	7	13	traditional	traditional	ADJ
easat-2338	7	14	method	method	NOUN
easat-2338	7	15	by	by	ADP
easat-2338	7	16	avoiding	avoid	VERB
easat-2338	7	17	the	the	DET
easat-2338	7	18	problem	problem	NOUN
easat-2338	7	19	of	of	ADP
easat-2338	7	20	overfitting	overfitte	VERB
easat-2338	7	21	and	and	CCONJ
easat-2338	7	22	improving	improve	VERB
easat-2338	7	23	accuracy	accuracy	NOUN
easat-2338	7	24	.	.	PUNCT
easat-2338	8	1	this	this	DET
easat-2338	8	2	study	study	NOUN
easat-2338	8	3	aims	aim	VERB
easat-2338	8	4	to	to	PART
easat-2338	8	5	develop	develop	VERB
easat-2338	8	6	an	an	DET
easat-2338	8	7	ml	ml	NOUN
easat-2338	8	8	model	model	NOUN
easat-2338	8	9	for	for	ADP
easat-2338	8	10	improved	improved	ADJ
easat-2338	8	11	prs	prs	NOUN
easat-2338	8	12	calculation	calculation	NOUN
easat-2338	8	13	.	.	PUNCT
easat-2338	9	1	we	we	PRON
easat-2338	9	2	used	use	VERB
easat-2338	9	3	the	the	DET
easat-2338	9	4	summary	summary	NOUN
easat-2338	9	5	statistics	statistic	NOUN
easat-2338	9	6	for	for	ADP
easat-2338	9	7	three	three	NUM
easat-2338	9	8	mentals	mental	NOUN
easat-2338	9	9	diseases	disease	NOUN
easat-2338	9	10	,	,	PUNCT
easat-2338	9	11	bipolar	bipolar	ADJ
easat-2338	9	12	,	,	PUNCT
easat-2338	9	13	depression	depression	NOUN
easat-2338	9	14	,	,	PUNCT
easat-2338	9	15	and	and	CCONJ
easat-2338	9	16	panic	panic	NOUN
easat-2338	9	17	disorder	disorder	NOUN
easat-2338	9	18	,	,	PUNCT
easat-2338	9	19	from	from	ADP
easat-2338	9	20	the	the	DET
easat-2338	9	21	psychiatric	psychiatric	ADJ
easat-2338	9	22	genomics	genomics	NOUN
easat-2338	9	23	consortium	consortium	NOUN
easat-2338	9	24	(	(	PUNCT
easat-2338	9	25	pgc	pgc	PROPN
easat-2338	9	26	)	)	PUNCT
easat-2338	9	27	as	as	ADP
easat-2338	9	28	a	a	DET
easat-2338	9	29	disease	disease	NOUN
easat-2338	9	30	reference	reference	NOUN
easat-2338	9	31	.	.	PUNCT
easat-2338	10	1	we	we	PRON
easat-2338	10	2	also	also	ADV
easat-2338	10	3	obtained	obtain	VERB
easat-2338	10	4	actual	actual	ADJ
easat-2338	10	5	genotype	genotype	NOUN
easat-2338	10	6	data	datum	NOUN
easat-2338	10	7	of	of	ADP
easat-2338	10	8	individuals	individual	NOUN
easat-2338	10	9	from	from	ADP
easat-2338	10	10	opensnp	opensnp	NOUN
easat-2338	10	11	,	,	PUNCT
easat-2338	10	12	which	which	PRON
easat-2338	10	13	includes	include	VERB
easat-2338	10	14	both	both	DET
easat-2338	10	15	case	case	NOUN
easat-2338	10	16	and	and	CCONJ
easat-2338	10	17	control	control	NOUN
easat-2338	10	18	samples	sample	NOUN
easat-2338	10	19	.	.	PUNCT
easat-2338	11	1	this	this	DET
easat-2338	11	2	data	data	NOUN
easat-2338	11	3	is	be	AUX
easat-2338	11	4	used	use	VERB
easat-2338	11	5	for	for	ADP
easat-2338	11	6	predicting	predict	VERB
easat-2338	11	7	scores	score	NOUN
easat-2338	11	8	.	.	PUNCT
easat-2338	12	1	the	the	DET
easat-2338	12	2	suggested	suggest	VERB
easat-2338	12	3	approach	approach	NOUN
easat-2338	12	4	,	,	PUNCT
easat-2338	12	5	called	call	VERB
easat-2338	12	6	polygenic	polygenic	ADJ
easat-2338	12	7	risk	risk	NOUN
easat-2338	12	8	score	score	NOUN
easat-2338	12	9	neural	neural	ADJ
easat-2338	12	10	network	network	NOUN
easat-2338	12	11	(	(	PUNCT
easat-2338	12	12	prsnn	prsnn	NOUN
easat-2338	12	13	)	)	PUNCT
easat-2338	12	14	,	,	PUNCT
easat-2338	12	15	calculates	calculate	VERB
easat-2338	12	16	the	the	DET
easat-2338	12	17	prs	prs	NOUN
easat-2338	12	18	using	use	VERB
easat-2338	12	19	weight	weight	NOUN
easat-2338	12	20	vectors	vector	NOUN
easat-2338	12	21	that	that	PRON
easat-2338	12	22	estimate	estimate	VERB
easat-2338	12	23	the	the	DET
easat-2338	12	24	relevance	relevance	NOUN
easat-2338	12	25	of	of	ADP
easat-2338	12	26	each	each	DET
easat-2338	12	27	single	single	ADJ
easat-2338	12	28	nucleotide	nucleotide	NOUN
easat-2338	12	29	polymorphism	polymorphism	NOUN
easat-2338	12	30	(	(	PUNCT
easat-2338	12	31	snp	snp	PROPN
easat-2338	12	32	)	)	PUNCT
easat-2338	12	33	with	with	ADP
easat-2338	12	34	a	a	DET
easat-2338	12	35	particular	particular	ADJ
easat-2338	12	36	phenotype	phenotype	NOUN
easat-2338	12	37	by	by	ADP
easat-2338	12	38	deep	deep	ADJ
easat-2338	12	39	learning	learning	NOUN
easat-2338	12	40	model	model	NOUN
easat-2338	12	41	as	as	ADP
easat-2338	12	42	an	an	DET
easat-2338	12	43	alternative	alternative	NOUN
easat-2338	12	44	to	to	ADP
easat-2338	12	45	the	the	DET
easat-2338	12	46	traditional	traditional	ADJ
easat-2338	12	47	method	method	NOUN
easat-2338	12	48	.	.	PUNCT
easat-2338	13	1	this	this	DET
easat-2338	13	2	study	study	NOUN
easat-2338	13	3	aims	aim	VERB
easat-2338	13	4	to	to	PART
easat-2338	13	5	develop	develop	VERB
easat-2338	13	6	a	a	DET
easat-2338	13	7	machine	machine	NOUN
easat-2338	13	8	learning	learn	VERB
easat-2338	13	9	model	model	NOUN
easat-2338	13	10	,	,	PUNCT
easat-2338	13	11	called	call	VERB
easat-2338	13	12	prsnn	prsnn	NOUN
easat-2338	13	13	,	,	PUNCT
easat-2338	13	14	for	for	ADP
easat-2338	13	15	improved	improved	ADJ
easat-2338	13	16	calculation	calculation	NOUN
easat-2338	13	17	of	of	ADP
easat-2338	13	18	polygenic	polygenic	ADJ
easat-2338	13	19	risk	risk	NOUN
easat-2338	13	20	scores	score	NOUN
easat-2338	13	21	(	(	PUNCT
easat-2338	13	22	prs	prs	NOUN
easat-2338	13	23	)	)	PUNCT
easat-2338	13	24	.	.	PUNCT
easat-2338	14	1	the	the	DET
easat-2338	14	2	prsnn	prsnn	NOUN
easat-2338	14	3	method	method	NOUN
easat-2338	14	4	outperforms	outperform	VERB
easat-2338	14	5	the	the	DET
easat-2338	14	6	conventional	conventional	ADJ
easat-2338	14	7	method	method	NOUN
easat-2338	14	8	in	in	ADP
easat-2338	14	9	identifying	identify	VERB
easat-2338	14	10	individuals	individual	NOUN
easat-2338	14	11	at	at	ADP
easat-2338	14	12	risk	risk	NOUN
easat-2338	14	13	of	of	ADP
easat-2338	14	14	mental	mental	ADJ
easat-2338	14	15	disease	disease	NOUN
easat-2338	14	16	.	.	PUNCT
easat-2338	15	1	a	a	DET
easat-2338	15	2	novel	novel	ADJ
easat-2338	15	3	deep	deep	ADJ
easat-2338	15	4	-	-	PUNCT
easat-2338	15	5	learning	learn	VERB
easat-2338	15	6	approach	approach	NOUN
easat-2338	15	7	,	,	PUNCT
easat-2338	15	8	named	name	VERB
easat-2338	15	9	as	as	ADP
easat-2338	15	10	prsnn	prsnn	NOUN
easat-2338	15	11	,	,	PUNCT
easat-2338	15	12	is	be	AUX
easat-2338	15	13	proposed	propose	VERB
easat-2338	15	14	for	for	ADP
easat-2338	15	15	generating	generate	VERB
easat-2338	15	16	prss	prss	NOUN
easat-2338	15	17	.	.	PUNCT
easat-2338	16	1	the	the	DET
easat-2338	16	2	results	result	NOUN
easat-2338	16	3	demonstrate	demonstrate	VERB
easat-2338	16	4	that	that	SCONJ
easat-2338	16	5	it	it	PRON
easat-2338	16	6	outperforms	outperform	VERB
easat-2338	16	7	the	the	DET
easat-2338	16	8	traditional	traditional	ADJ
easat-2338	16	9	method	method	NOUN
easat-2338	16	10	of	of	ADP
easat-2338	16	11	computing	compute	VERB
easat-2338	16	12	prs	prs	NOUN
easat-2338	16	13	for	for	ADP
easat-2338	16	14	complex	complex	ADJ
easat-2338	16	15	diseases	disease	NOUN
easat-2338	16	16	.	.	PUNCT
easat-2338	17	1	further	further	ADJ
easat-2338	17	2	upgrades	upgrade	NOUN
easat-2338	17	3	for	for	ADP
easat-2338	17	4	this	this	DET
easat-2338	17	5	tool	tool	NOUN
easat-2338	17	6	are	be	AUX
easat-2338	17	7	required	require	VERB
easat-2338	17	8	to	to	PART
easat-2338	17	9	overcome	overcome	VERB
easat-2338	17	10	the	the	DET
easat-2338	17	11	current	current	ADJ
easat-2338	17	12	limitations	limitation	NOUN
easat-2338	17	13	,	,	PUNCT
easat-2338	17	14	including	include	VERB
easat-2338	17	15	lack	lack	NOUN
easat-2338	17	16	of	of	ADP
easat-2338	17	17	validation	validation	NOUN
easat-2338	17	18	with	with	ADP
easat-2338	17	19	external	external	ADJ
easat-2338	17	20	data	datum	NOUN
easat-2338	17	21	from	from	ADP
easat-2338	17	22	different	different	ADJ
easat-2338	17	23	ancestries	ancestry	NOUN
easat-2338	17	24	,	,	PUNCT
easat-2338	17	25	which	which	PRON
easat-2338	17	26	may	may	AUX
easat-2338	17	27	limit	limit	VERB
easat-2338	17	28	the	the	DET
easat-2338	17	29	applicability	applicability	NOUN
easat-2338	17	30	of	of	ADP
easat-2338	17	31	the	the	DET
easat-2338	17	32	prsnn	prsnn	NOUN
easat-2338	17	33	method	method	NOUN
easat-2338	17	34	across	across	ADP
easat-2338	17	35	diverse	diverse	ADJ
easat-2338	17	36	populations	population	NOUN
easat-2338	17	37	,	,	PUNCT
easat-2338	17	38	and	and	CCONJ
easat-2338	17	39	the	the	DET
easat-2338	17	40	small	small	ADJ
easat-2338	17	41	sample	sample	NOUN
easat-2338	17	42	size	size	NOUN
easat-2338	17	43	,	,	PUNCT
easat-2338	17	44	which	which	PRON
easat-2338	17	45	may	may	AUX
easat-2338	17	46	affect	affect	VERB
easat-2338	17	47	the	the	DET
easat-2338	17	48	results	result	NOUN
easat-2338	17	49	.	.	PUNCT
easat-2338	18	1	keywords	keyword	NOUN
easat-2338	18	2	:	:	PUNCT
easat-2338	18	3	genome	genome	NOUN
easat-2338	18	4	-	-	PUNCT
easat-2338	18	5	wide	wide	ADJ
easat-2338	18	6	association	association	NOUN
easat-2338	18	7	studies	study	NOUN
easat-2338	18	8	(	(	PUNCT
easat-2338	18	9	gwas	gwas	PROPN
easat-2338	18	10	)	)	PUNCT
easat-2338	18	11	,	,	PUNCT
easat-2338	18	12	machine	machine	NOUN
easat-2338	18	13	learning	learning	NOUN
easat-2338	18	14	(	(	PUNCT
easat-2338	18	15	ml	ml	NOUN
easat-2338	18	16	)	)	PUNCT
easat-2338	18	17	,	,	PUNCT
easat-2338	18	18	polygenic	polygenic	ADJ
easat-2338	18	19	risk	risk	NOUN
easat-2338	18	20	score	score	NOUN
easat-2338	18	21	(	(	PUNCT
easat-2338	18	22	prs	prs	NOUN
easat-2338	18	23	)	)	PUNCT
easat-2338	18	24	,	,	PUNCT
easat-2338	18	25	psychiatric	psychiatric	ADJ
easat-2338	18	26	genomics	genomics	NOUN
easat-2338	18	27	con	con	NOUN
easat-2338	18	28	-	-	PUNCT
easat-2338	18	29	sortium	sortium	NOUN
easat-2338	18	30	(	(	PUNCT
easat-2338	18	31	pgc	pgc	PROPN
easat-2338	18	32	)	)	PUNCT
easat-2338	18	33	.	.	PUNCT
easat-2338	19	1	1	1	X
easat-2338	19	2	.	.	X
easat-2338	19	3	introduction	introduction	NOUN
easat-2338	19	4	a	a	DET
easat-2338	19	5	key	key	ADJ
easat-2338	19	6	function	function	NOUN
easat-2338	19	7	of	of	ADP
easat-2338	19	8	public	public	ADJ
easat-2338	19	9	health	health	NOUN
easat-2338	19	10	is	be	AUX
easat-2338	19	11	to	to	PART
easat-2338	19	12	prevent	prevent	VERB
easat-2338	19	13	the	the	DET
easat-2338	19	14	community	community	NOUN
easat-2338	19	15	from	from	ADP
easat-2338	19	16	diseases	disease	NOUN
easat-2338	19	17	and	and	CCONJ
easat-2338	19	18	provide	provide	VERB
easat-2338	19	19	an	an	DET
easat-2338	19	20	early	early	ADJ
easat-2338	19	21	intervention	intervention	NOUN
easat-2338	19	22	that	that	SCONJ
easat-2338	19	23	measures	measure	VERB
easat-2338	19	24	for	for	ADP
easat-2338	19	25	a	a	DET
easat-2338	19	26	specific	specific	ADJ
easat-2338	19	27	disease	disease	NOUN
easat-2338	19	28	based	base	VERB
easat-2338	19	29	on	on	ADP
easat-2338	19	30	their	their	PRON
easat-2338	19	31	risk	risk	NOUN
easat-2338	19	32	level	level	NOUN
easat-2338	19	33	,	,	PUNCT
easat-2338	19	34	to	to	PART
easat-2338	19	35	pick	pick	VERB
easat-2338	19	36	up	up	ADP
easat-2338	19	37	future	future	ADJ
easat-2338	19	38	cases	case	NOUN
easat-2338	19	39	in	in	ADP
easat-2338	19	40	the	the	DET
easat-2338	19	41	early	early	ADJ
easat-2338	19	42	stage	stage	NOUN
easat-2338	19	43	by	by	ADP
easat-2338	19	44	implementing	implement	VERB
easat-2338	19	45	a	a	DET
easat-2338	19	46	targeted	target	VERB
easat-2338	19	47	screening	screening	NOUN
easat-2338	19	48	program	program	NOUN
easat-2338	19	49	,	,	PUNCT
easat-2338	19	50	and	and	CCONJ
easat-2338	19	51	to	to	PART
easat-2338	19	52	intervene	intervene	VERB
easat-2338	19	53	before	before	ADP
easat-2338	19	54	disease	disease	NOUN
easat-2338	19	55	formation	formation	NOUN
easat-2338	20	1	[	[	X
easat-2338	20	2	1	1	NUM
easat-2338	20	3	]	]	PUNCT
easat-2338	20	4	.	.	PUNCT
easat-2338	21	1	psychiatric	psychiatric	ADJ
easat-2338	21	2	and	and	CCONJ
easat-2338	21	3	neurodegenerative	neurodegenerative	ADJ
easat-2338	21	4	disorders	disorder	NOUN
easat-2338	21	5	cause	cause	VERB
easat-2338	21	6	substantial	substantial	ADJ
easat-2338	21	7	burdens	burden	NOUN
easat-2338	21	8	on	on	ADP
easat-2338	21	9	individuals	individual	NOUN
easat-2338	21	10	,	,	PUNCT
easat-2338	21	11	their	their	PRON
easat-2338	21	12	families	family	NOUN
easat-2338	21	13	and	and	CCONJ
easat-2338	21	14	the	the	DET
easat-2338	21	15	community	community	NOUN
easat-2338	21	16	,	,	PUNCT
easat-2338	21	17	causing	cause	VERB
easat-2338	21	18	a	a	DET
easat-2338	21	19	high	high	ADJ
easat-2338	21	20	rate	rate	NOUN
easat-2338	21	21	of	of	ADP
easat-2338	21	22	morbidity	morbidity	NOUN
easat-2338	21	23	and	and	CCONJ
easat-2338	21	24	mortality	mortality	NOUN
easat-2338	22	1	[	[	X
easat-2338	22	2	2][3][4	2][3][4	NUM
easat-2338	22	3	]	]	PUNCT
easat-2338	22	4	.	.	PUNCT
easat-2338	23	1	those	those	DET
easat-2338	23	2	diseases	disease	NOUN
easat-2338	23	3	have	have	VERB
easat-2338	23	4	an	an	DET
easat-2338	23	5	ongoing	ongoing	ADJ
easat-2338	23	6	course	course	NOUN
easat-2338	23	7	and	and	CCONJ
easat-2338	23	8	typically	typically	ADV
easat-2338	23	9	start	start	VERB
easat-2338	23	10	in	in	ADP
easat-2338	23	11	childhood	childhood	NOUN
easat-2338	23	12	or	or	CCONJ
easat-2338	23	13	young	young	ADJ
easat-2338	23	14	adulthood	adulthood	NOUN
easat-2338	23	15	,	,	PUNCT
easat-2338	23	16	meaning	mean	VERB
easat-2338	23	17	many	many	ADJ
easat-2338	23	18	years	year	NOUN
easat-2338	23	19	are	be	AUX
easat-2338	23	20	spent	spend	VERB
easat-2338	23	21	with	with	ADP
easat-2338	23	22	a	a	DET
easat-2338	23	23	crippling	crippling	ADJ
easat-2338	23	24	condition	condition	NOUN
easat-2338	23	25	.	.	PUNCT
easat-2338	24	1	furthermore	furthermore	ADV
easat-2338	24	2	,	,	PUNCT
easat-2338	24	3	people	people	NOUN
easat-2338	24	4	with	with	ADP
easat-2338	24	5	serious	serious	ADJ
easat-2338	24	6	mental	mental	ADJ
easat-2338	24	7	illness	illness	NOUN
easat-2338	24	8	frequently	frequently	ADV
easat-2338	24	9	have	have	VERB
easat-2338	24	10	lower	low	ADJ
easat-2338	24	11	socioeconomic	socioeconomic	ADJ
easat-2338	24	12	standing	standing	NOUN
easat-2338	24	13	[	[	X
easat-2338	24	14	5	5	NUM
easat-2338	24	15	]	]	PUNCT
easat-2338	24	16	.	.	PUNCT
easat-2338	25	1	other	other	ADJ
easat-2338	25	2	than	than	ADP
easat-2338	25	3	crippling	cripple	VERB
easat-2338	25	4	the	the	DET
easat-2338	25	5	patient	patient	NOUN
easat-2338	25	6	’s	’s	PART
easat-2338	25	7	life	life	NOUN
easat-2338	25	8	,	,	PUNCT
easat-2338	25	9	they	they	PRON
easat-2338	25	10	regularly	regularly	ADV
easat-2338	25	11	encounter	encounter	VERB
easat-2338	25	12	stigma	stigma	NOUN
easat-2338	25	13	.	.	PUNCT
easat-2338	26	1	psychiatric	psychiatric	ADJ
easat-2338	26	2	disorders	disorder	NOUN
easat-2338	26	3	have	have	VERB
easat-2338	26	4	higher	high	ADJ
easat-2338	26	5	rates	rate	NOUN
easat-2338	26	6	of	of	ADP
easat-2338	26	7	both	both	DET
easat-2338	26	8	drug	drug	NOUN
easat-2338	26	9	use	use	NOUN
easat-2338	26	10	and	and	CCONJ
easat-2338	26	11	alcohol	alcohol	NOUN
easat-2338	26	12	usage	usage	NOUN
easat-2338	26	13	,	,	PUNCT
easat-2338	26	14	all	all	PRON
easat-2338	26	15	of	of	ADP
easat-2338	26	16	which	which	PRON
easat-2338	26	17	have	have	VERB
easat-2338	26	18	a	a	DET
easat-2338	26	19	detrimental	detrimental	ADJ
easat-2338	26	20	effect	effect	NOUN
easat-2338	26	21	on	on	ADP
easat-2338	26	22	one	one	NUM
easat-2338	26	23	’s	’s	PART
easat-2338	26	24	health	health	NOUN
easat-2338	26	25	and	and	CCONJ
easat-2338	26	26	quality	quality	NOUN
easat-2338	26	27	of	of	ADP
easat-2338	26	28	life	life	NOUN
easat-2338	26	29	[	[	X
easat-2338	26	30	6	6	NUM
easat-2338	26	31	]	]	PUNCT
easat-2338	27	1	[	[	X
easat-2338	27	2	7][8	7][8	X
easat-2338	27	3	]	]	PUNCT
easat-2338	27	4	.	.	PUNCT
easat-2338	28	1	estimates	estimate	NOUN
easat-2338	28	2	1759	1759	NUM
easat-2338	28	3	edelweiss	edelweiss	PROPN
easat-2338	28	4	applied	apply	VERB
easat-2338	28	5	science	science	NOUN
easat-2338	28	6	and	and	CCONJ
easat-2338	28	7	technology	technology	NOUN
easat-2338	28	8	issn	issn	PROPN
easat-2338	28	9	:	:	PUNCT
easat-2338	28	10	2576	2576	NUM
easat-2338	28	11	-	-	SYM
easat-2338	28	12	8484	8484	NUM
easat-2338	28	13	vol	vol	NOUN
easat-2338	28	14	.	.	PROPN
easat-2338	28	15	8	8	NUM
easat-2338	28	16	,	,	PUNCT
easat-2338	28	17	no	no	INTJ
easat-2338	28	18	.	.	NOUN
easat-2338	29	1	6	6	NUM
easat-2338	29	2	:	:	SYM
easat-2338	29	3	1758	1758	NUM
easat-2338	29	4	-	-	SYM
easat-2338	29	5	1773	1773	NUM
easat-2338	29	6	,	,	PUNCT
easat-2338	29	7	2024	2024	NUM
easat-2338	29	8	doi	doi	NOUN
easat-2338	29	9	:	:	PUNCT
easat-2338	29	10	10.55214/25768484.v8i6.2338	10.55214/25768484.v8i6.2338	NUM
easat-2338	29	11	©	©	PROPN
easat-2338	29	12	2024	2024	NUM
easat-2338	29	13	by	by	ADP
easat-2338	29	14	the	the	DET
easat-2338	29	15	authors	author	NOUN
easat-2338	29	16	;	;	PUNCT
easat-2338	29	17	licensee	licensee	PROPN
easat-2338	29	18	learning	learning	NOUN
easat-2338	29	19	gate	gate	NOUN
easat-2338	29	20	indicate	indicate	VERB
easat-2338	29	21	that	that	SCONJ
easat-2338	29	22	individuals	individual	NOUN
easat-2338	29	23	grappling	grapple	VERB
easat-2338	29	24	with	with	ADP
easat-2338	29	25	serious	serious	ADJ
easat-2338	29	26	mental	mental	ADJ
easat-2338	29	27	illness	illness	NOUN
easat-2338	29	28	have	have	VERB
easat-2338	29	29	an	an	DET
easat-2338	29	30	average	average	ADJ
easat-2338	29	31	life	life	NOUN
easat-2338	29	32	expectancy	expectancy	NOUN
easat-2338	29	33	approximately	approximately	ADV
easat-2338	29	34	ten	ten	NUM
easat-2338	29	35	years	year	NOUN
easat-2338	29	36	shorter	short	ADJ
easat-2338	29	37	than	than	ADP
easat-2338	29	38	that	that	PRON
easat-2338	29	39	observed	observe	VERB
easat-2338	29	40	in	in	ADP
easat-2338	29	41	the	the	DET
easat-2338	29	42	general	general	ADJ
easat-2338	29	43	population	population	NOUN
easat-2338	30	1	[	[	X
easat-2338	30	2	9	9	X
easat-2338	30	3	]	]	X
easat-2338	31	1	[	[	X
easat-2338	31	2	10	10	NUM
easat-2338	31	3	]	]	PUNCT
easat-2338	31	4	.	.	PUNCT
easat-2338	32	1	to	to	PART
easat-2338	32	2	study	study	VERB
easat-2338	32	3	how	how	SCONJ
easat-2338	32	4	genes	gene	NOUN
easat-2338	32	5	influence	influence	VERB
easat-2338	32	6	complex	complex	ADJ
easat-2338	32	7	traits	trait	NOUN
easat-2338	32	8	or	or	CCONJ
easat-2338	32	9	diseases	disease	NOUN
easat-2338	32	10	and	and	CCONJ
easat-2338	32	11	to	to	PART
easat-2338	32	12	predict	predict	VERB
easat-2338	32	13	who	who	PRON
easat-2338	32	14	is	be	AUX
easat-2338	32	15	more	more	ADV
easat-2338	32	16	likely	likely	ADJ
easat-2338	32	17	to	to	PART
easat-2338	32	18	have	have	VERB
easat-2338	32	19	them	they	PRON
easat-2338	32	20	,	,	PUNCT
easat-2338	32	21	researchers	researcher	NOUN
easat-2338	32	22	use	use	VERB
easat-2338	32	23	simple	simple	ADJ
easat-2338	32	24	models	model	NOUN
easat-2338	32	25	that	that	PRON
easat-2338	32	26	add	add	VERB
easat-2338	32	27	up	up	ADP
easat-2338	32	28	the	the	DET
easat-2338	32	29	effects	effect	NOUN
easat-2338	32	30	of	of	ADP
easat-2338	32	31	many	many	ADJ
easat-2338	32	32	genetic	genetic	ADJ
easat-2338	32	33	variants	variant	NOUN
easat-2338	32	34	.	.	PUNCT
easat-2338	33	1	these	these	DET
easat-2338	33	2	models	model	NOUN
easat-2338	33	3	are	be	AUX
easat-2338	33	4	called	call	VERB
easat-2338	33	5	polygenic	polygenic	ADJ
easat-2338	33	6	risk	risk	NOUN
easat-2338	33	7	scores	score	NOUN
easat-2338	33	8	(	(	PUNCT
easat-2338	33	9	prss	prss	NOUN
easat-2338	33	10	)	)	PUNCT
easat-2338	34	1	[	[	X
easat-2338	34	2	11	11	NUM
easat-2338	34	3	]	]	PUNCT
easat-2338	34	4	.	.	PUNCT
easat-2338	35	1	the	the	DET
easat-2338	35	2	traditional	traditional	ADJ
easat-2338	35	3	method	method	NOUN
easat-2338	35	4	to	to	PART
easat-2338	35	5	generate	generate	VERB
easat-2338	35	6	prs	prs	NOUN
easat-2338	35	7	is	be	AUX
easat-2338	35	8	the	the	DET
easat-2338	35	9	most	most	ADV
easat-2338	35	10	common	common	ADJ
easat-2338	35	11	method	method	NOUN
easat-2338	35	12	to	to	PART
easat-2338	35	13	calculate	calculate	VERB
easat-2338	35	14	prss	prss	NOUN
easat-2338	35	15	by	by	ADP
easat-2338	35	16	summing	sum	VERB
easat-2338	35	17	the	the	DET
easat-2338	35	18	number	number	NOUN
easat-2338	35	19	of	of	ADP
easat-2338	35	20	snp	snp	PROPN
easat-2338	35	21	a	a	DET
easat-2338	35	22	person	person	NOUN
easat-2338	35	23	has	have	AUX
easat-2338	35	24	multiplied	multiply	VERB
easat-2338	35	25	by	by	ADP
easat-2338	35	26	the	the	DET
easat-2338	35	27	weight	weight	NOUN
easat-2338	35	28	of	of	ADP
easat-2338	35	29	each	each	DET
easat-2338	35	30	snp	snp	NOUN
easat-2338	35	31	[	[	X
easat-2338	35	32	12	12	NUM
easat-2338	35	33	]	]	PUNCT
easat-2338	35	34	.	.	PUNCT
easat-2338	36	1	the	the	DET
easat-2338	36	2	effect	effect	NOUN
easat-2338	36	3	weight	weight	NOUN
easat-2338	36	4	of	of	ADP
easat-2338	36	5	the	the	DET
easat-2338	36	6	snp	snp	NOUN
easat-2338	36	7	on	on	ADP
easat-2338	36	8	the	the	DET
easat-2338	36	9	trait	trait	NOUN
easat-2338	36	10	or	or	CCONJ
easat-2338	36	11	disease	disease	NOUN
easat-2338	36	12	is	be	AUX
easat-2338	36	13	represented	represent	VERB
easat-2338	36	14	by	by	ADP
easat-2338	36	15	the	the	DET
easat-2338	36	16	weight	weight	NOUN
easat-2338	36	17	,	,	PUNCT
easat-2338	36	18	estimated	estimate	VERB
easat-2338	36	19	from	from	ADP
easat-2338	36	20	the	the	DET
easat-2338	36	21	previous	previous	ADJ
easat-2338	36	22	genome	genome	NOUN
easat-2338	36	23	-	-	PUNCT
easat-2338	36	24	wide	wide	ADJ
easat-2338	36	25	association	association	NOUN
easat-2338	36	26	studies	study	NOUN
easat-2338	36	27	(	(	PUNCT
easat-2338	36	28	gwas	gwas	PROPN
easat-2338	36	29	)	)	PUNCT
easat-2338	37	1	[	[	X
easat-2338	37	2	13	13	NUM
easat-2338	37	3	]	]	PUNCT
easat-2338	37	4	,	,	PUNCT
easat-2338	37	5	which	which	PRON
easat-2338	37	6	are	be	AUX
easat-2338	37	7	techniques	technique	NOUN
easat-2338	37	8	that	that	PRON
easat-2338	37	9	identify	identify	VERB
easat-2338	37	10	associations	association	NOUN
easat-2338	37	11	between	between	ADP
easat-2338	37	12	phenotypes	phenotype	NOUN
easat-2338	37	13	and	and	CCONJ
easat-2338	37	14	genotypes	genotype	NOUN
easat-2338	37	15	that	that	PRON
easat-2338	37	16	are	be	AUX
easat-2338	37	17	involved	involve	VERB
easat-2338	37	18	in	in	ADP
easat-2338	37	19	causing	cause	VERB
easat-2338	37	20	a	a	DET
easat-2338	37	21	certain	certain	ADJ
easat-2338	37	22	disease	disease	NOUN
easat-2338	37	23	[	[	X
easat-2338	37	24	14	14	NUM
easat-2338	37	25	]	]	PUNCT
easat-2338	37	26	.	.	PUNCT
easat-2338	38	1	based	base	VERB
easat-2338	38	2	on	on	ADP
easat-2338	38	3	comparing	compare	VERB
easat-2338	38	4	cases	case	NOUN
easat-2338	38	5	with	with	ADP
easat-2338	38	6	controls	control	NOUN
easat-2338	38	7	will	will	AUX
easat-2338	38	8	assess	assess	VERB
easat-2338	38	9	the	the	DET
easat-2338	38	10	identification	identification	NOUN
easat-2338	38	11	of	of	ADP
easat-2338	38	12	snps	snps	PROPN
easat-2338	38	13	that	that	PRON
easat-2338	38	14	might	might	AUX
easat-2338	38	15	contribute	contribute	VERB
easat-2338	38	16	in	in	ADP
easat-2338	38	17	the	the	DET
easat-2338	38	18	disease	disease	NOUN
easat-2338	38	19	formation	formation	NOUN
easat-2338	39	1	[	[	X
easat-2338	39	2	15][16	15][16	X
easat-2338	39	3	]	]	X
easat-2338	39	4	.	.	PUNCT
easat-2338	40	1	however	however	ADV
easat-2338	40	2	,	,	PUNCT
easat-2338	40	3	this	this	DET
easat-2338	40	4	assumption	assumption	NOUN
easat-2338	40	5	may	may	AUX
easat-2338	40	6	not	not	PART
easat-2338	40	7	hold	hold	VERB
easat-2338	40	8	for	for	ADP
easat-2338	40	9	complex	complex	ADJ
easat-2338	40	10	diseases	disease	NOUN
easat-2338	40	11	incorporated	incorporate	VERB
easat-2338	40	12	in	in	ADP
easat-2338	40	13	gene	gene	NOUN
easat-2338	40	14	-	-	PUNCT
easat-2338	40	15	gene	gene	NOUN
easat-2338	40	16	interactions	interaction	NOUN
easat-2338	40	17	.	.	PUNCT
easat-2338	41	1	therefore	therefore	ADV
easat-2338	41	2	,	,	PUNCT
easat-2338	41	3	some	some	DET
easat-2338	41	4	researchers	researcher	NOUN
easat-2338	41	5	have	have	AUX
easat-2338	41	6	suggested	suggest	VERB
easat-2338	41	7	using	use	VERB
easat-2338	41	8	non	non	ADJ
easat-2338	41	9	-	-	ADJ
easat-2338	41	10	additive	additive	ADJ
easat-2338	41	11	models	model	NOUN
easat-2338	41	12	or	or	CCONJ
easat-2338	41	13	methods	method	NOUN
easat-2338	41	14	that	that	PRON
easat-2338	41	15	can	can	AUX
easat-2338	41	16	account	account	VERB
easat-2338	41	17	for	for	ADP
easat-2338	41	18	these	these	DET
easat-2338	41	19	interactions	interaction	NOUN
easat-2338	41	20	in	in	ADP
easat-2338	41	21	prs	prs	ADJ
easat-2338	41	22	calculation	calculation	NOUN
easat-2338	41	23	[	[	X
easat-2338	41	24	17	17	NUM
easat-2338	41	25	]	]	PUNCT
easat-2338	41	26	.	.	PUNCT
easat-2338	42	1	examples	example	NOUN
easat-2338	42	2	of	of	ADP
easat-2338	42	3	non	non	ADJ
easat-2338	42	4	-	-	ADJ
easat-2338	42	5	additive	additive	ADJ
easat-2338	42	6	models	model	NOUN
easat-2338	42	7	or	or	CCONJ
easat-2338	42	8	methods	method	NOUN
easat-2338	42	9	include	include	VERB
easat-2338	42	10	quadratic	quadratic	ADJ
easat-2338	42	11	,	,	PUNCT
easat-2338	42	12	logistic	logistic	ADJ
easat-2338	42	13	,	,	PUNCT
easat-2338	42	14	or	or	CCONJ
easat-2338	42	15	neural	neural	ADJ
easat-2338	42	16	network	network	NOUN
easat-2338	42	17	models	model	NOUN
easat-2338	42	18	,	,	PUNCT
easat-2338	42	19	as	as	ADV
easat-2338	42	20	well	well	ADV
easat-2338	42	21	as	as	ADP
easat-2338	42	22	bayesian	bayesian	NOUN
easat-2338	42	23	methods	method	NOUN
easat-2338	42	24	or	or	CCONJ
easat-2338	42	25	machine	machine	NOUN
easat-2338	42	26	learning	learning	NOUN
easat-2338	42	27	methods	method	NOUN
easat-2338	42	28	[	[	X
easat-2338	42	29	18	18	NUM
easat-2338	42	30	]	]	X
easat-2338	43	1	[	[	X
easat-2338	43	2	19	19	NUM
easat-2338	43	3	]	]	PUNCT
easat-2338	43	4	.	.	PUNCT
easat-2338	44	1	in	in	ADP
easat-2338	44	2	addition	addition	NOUN
easat-2338	44	3	,	,	PUNCT
easat-2338	44	4	the	the	DET
easat-2338	44	5	traditional	traditional	ADJ
easat-2338	44	6	method	method	NOUN
easat-2338	44	7	of	of	ADP
easat-2338	44	8	calculating	calculate	VERB
easat-2338	44	9	prs	prs	NOUN
easat-2338	44	10	has	have	VERB
easat-2338	44	11	some	some	DET
easat-2338	44	12	limitations	limitation	NOUN
easat-2338	44	13	,	,	PUNCT
easat-2338	44	14	such	such	ADJ
easat-2338	44	15	as	as	ADP
easat-2338	44	16	requiring	require	VERB
easat-2338	44	17	large	large	ADJ
easat-2338	44	18	training	training	NOUN
easat-2338	44	19	and	and	CCONJ
easat-2338	44	20	testing	testing	NOUN
easat-2338	44	21	datasets	dataset	NOUN
easat-2338	44	22	,	,	PUNCT
easat-2338	44	23	the	the	DET
easat-2338	44	24	lack	lack	NOUN
easat-2338	44	25	of	of	ADP
easat-2338	44	26	generalizability	generalizability	NOUN
easat-2338	44	27	across	across	ADP
easat-2338	44	28	different	different	ADJ
easat-2338	44	29	populations	population	NOUN
easat-2338	44	30	,	,	PUNCT
easat-2338	44	31	and	and	CCONJ
easat-2338	44	32	the	the	DET
easat-2338	44	33	inability	inability	NOUN
easat-2338	44	34	to	to	PART
easat-2338	44	35	capture	capture	VERB
easat-2338	44	36	the	the	DET
easat-2338	44	37	interactions	interaction	NOUN
easat-2338	44	38	and	and	CCONJ
easat-2338	44	39	dependencies	dependency	NOUN
easat-2338	44	40	among	among	ADP
easat-2338	44	41	genetic	genetic	ADJ
easat-2338	44	42	variants	variant	NOUN
easat-2338	44	43	.	.	PUNCT
easat-2338	45	1	moreover	moreover	ADV
easat-2338	45	2	,	,	PUNCT
easat-2338	45	3	the	the	DET
easat-2338	45	4	prs	prs	NOUN
easat-2338	45	5	models	model	NOUN
easat-2338	45	6	may	may	AUX
easat-2338	45	7	be	be	AUX
easat-2338	45	8	biased	bias	VERB
easat-2338	45	9	by	by	ADP
easat-2338	45	10	the	the	DET
easat-2338	45	11	ancestry	ancestry	NOUN
easat-2338	45	12	of	of	ADP
easat-2338	45	13	the	the	DET
easat-2338	45	14	discovery	discovery	NOUN
easat-2338	45	15	dataset	dataset	VERB
easat-2338	45	16	and	and	CCONJ
easat-2338	45	17	may	may	AUX
easat-2338	45	18	not	not	PART
easat-2338	45	19	generalize	generalize	VERB
easat-2338	45	20	well	well	ADV
easat-2338	45	21	to	to	ADP
easat-2338	45	22	other	other	ADJ
easat-2338	45	23	populations	population	NOUN
easat-2338	46	1	[	[	X
easat-2338	46	2	20][21	20][21	X
easat-2338	46	3	]	]	X
easat-2338	47	1	[	[	X
easat-2338	47	2	22	22	NUM
easat-2338	47	3	]	]	PUNCT
easat-2338	47	4	it	it	PRON
easat-2338	47	5	is	be	AUX
easat-2338	47	6	noted	note	VERB
easat-2338	47	7	that	that	SCONJ
easat-2338	47	8	these	these	DET
easat-2338	47	9	models	model	NOUN
easat-2338	47	10	exhibit	exhibit	VERB
easat-2338	47	11	a	a	DET
easat-2338	47	12	restricted	restricted	ADJ
easat-2338	47	13	capacity	capacity	NOUN
easat-2338	47	14	for	for	ADP
easat-2338	47	15	model	model	NOUN
easat-2338	47	16	fitting	fitting	ADJ
easat-2338	47	17	,	,	PUNCT
easat-2338	47	18	thereby	thereby	ADV
easat-2338	47	19	influencing	influence	VERB
easat-2338	47	20	the	the	DET
easat-2338	47	21	precision	precision	NOUN
easat-2338	47	22	of	of	ADP
easat-2338	47	23	the	the	DET
easat-2338	47	24	ultimate	ultimate	ADJ
easat-2338	47	25	prediction	prediction	NOUN
easat-2338	47	26	outcomes	outcome	NOUN
easat-2338	47	27	to	to	ADP
easat-2338	47	28	a	a	DET
easat-2338	47	29	certain	certain	ADJ
easat-2338	47	30	extent	extent	NOUN
easat-2338	47	31	.	.	PUNCT
easat-2338	48	1	nowadays	nowadays	ADV
easat-2338	48	2	,	,	PUNCT
easat-2338	48	3	machine	machine	NOUN
easat-2338	48	4	learning	learning	NOUN
easat-2338	48	5	has	have	AUX
easat-2338	48	6	contributed	contribute	VERB
easat-2338	48	7	towards	towards	ADP
easat-2338	48	8	advancing	advance	VERB
easat-2338	48	9	various	various	ADJ
easat-2338	48	10	fields	field	NOUN
easat-2338	48	11	,	,	PUNCT
easat-2338	48	12	including	include	VERB
easat-2338	48	13	genomics	genomic	NOUN
easat-2338	48	14	with	with	ADP
easat-2338	48	15	deep	deep	ADJ
easat-2338	48	16	-	-	PUNCT
easat-2338	48	17	learning	learn	VERB
easat-2338	48	18	techniques	technique	NOUN
easat-2338	48	19	,	,	PUNCT
easat-2338	48	20	medical	medical	ADJ
easat-2338	48	21	imaging	imaging	NOUN
easat-2338	48	22	,	,	PUNCT
easat-2338	48	23	and	and	CCONJ
easat-2338	48	24	natural	natural	ADJ
easat-2338	48	25	language	language	NOUN
easat-2338	48	26	processing	processing	NOUN
easat-2338	48	27	for	for	ADP
easat-2338	48	28	health	health	NOUN
easat-2338	48	29	records	record	NOUN
easat-2338	48	30	[	[	X
easat-2338	48	31	23][24][25	23][24][25	X
easat-2338	48	32	]	]	X
easat-2338	48	33	.	.	PUNCT
easat-2338	49	1	some	some	DET
easat-2338	49	2	researchers	researcher	NOUN
easat-2338	49	3	have	have	AUX
easat-2338	49	4	proposed	propose	VERB
easat-2338	49	5	to	to	PART
easat-2338	49	6	use	use	VERB
easat-2338	49	7	machine	machine	NOUN
easat-2338	49	8	learning	learning	NOUN
easat-2338	49	9	methods	method	NOUN
easat-2338	49	10	,	,	PUNCT
easat-2338	49	11	which	which	PRON
easat-2338	49	12	can	can	AUX
easat-2338	49	13	handle	handle	VERB
easat-2338	49	14	highdimensional	highdimensional	ADJ
easat-2338	49	15	and	and	CCONJ
easat-2338	49	16	complicated	complicated	ADJ
easat-2338	49	17	data	datum	NOUN
easat-2338	49	18	and	and	CCONJ
easat-2338	49	19	learn	learn	VERB
easat-2338	49	20	from	from	ADP
easat-2338	49	21	patterns	pattern	NOUN
easat-2338	49	22	and	and	CCONJ
easat-2338	49	23	characteristics	characteristic	NOUN
easat-2338	49	24	.	.	PUNCT
easat-2338	50	1	ml	ml	PROPN
easat-2338	50	2	methods	method	NOUN
easat-2338	50	3	can	can	AUX
easat-2338	50	4	overcome	overcome	VERB
easat-2338	50	5	some	some	PRON
easat-2338	50	6	of	of	ADP
easat-2338	50	7	the	the	DET
easat-2338	50	8	limitations	limitation	NOUN
easat-2338	50	9	of	of	ADP
easat-2338	50	10	the	the	DET
easat-2338	50	11	traditional	traditional	ADJ
easat-2338	50	12	method	method	NOUN
easat-2338	50	13	of	of	ADP
easat-2338	50	14	calculating	calculate	VERB
easat-2338	50	15	prs	prs	NOUN
easat-2338	50	16	.	.	PUNCT
easat-2338	51	1	for	for	ADP
easat-2338	51	2	example	example	NOUN
easat-2338	51	3	,	,	PUNCT
easat-2338	51	4	ml	ml	ADP
easat-2338	51	5	methods	method	NOUN
easat-2338	51	6	can	can	AUX
easat-2338	51	7	rank	rank	VERB
easat-2338	51	8	the	the	DET
easat-2338	51	9	snps	snps	PROPN
easat-2338	51	10	according	accord	VERB
easat-2338	51	11	to	to	ADP
easat-2338	51	12	their	their	PRON
easat-2338	51	13	importance	importance	NOUN
easat-2338	51	14	or	or	CCONJ
easat-2338	51	15	relevance	relevance	NOUN
easat-2338	51	16	for	for	ADP
easat-2338	51	17	the	the	DET
easat-2338	51	18	disease	disease	NOUN
easat-2338	51	19	risk	risk	NOUN
easat-2338	51	20	,	,	PUNCT
easat-2338	51	21	or	or	CCONJ
easat-2338	51	22	they	they	PRON
easat-2338	51	23	can	can	AUX
easat-2338	51	24	identify	identify	VERB
easat-2338	51	25	the	the	DET
easat-2338	51	26	pathways	pathway	NOUN
easat-2338	51	27	or	or	CCONJ
easat-2338	51	28	biological	biological	ADJ
easat-2338	51	29	processes	process	NOUN
easat-2338	51	30	that	that	PRON
easat-2338	51	31	are	be	AUX
easat-2338	51	32	associated	associate	VERB
easat-2338	51	33	with	with	ADP
easat-2338	51	34	the	the	DET
easat-2338	51	35	disease	disease	NOUN
easat-2338	51	36	.	.	PUNCT
easat-2338	52	1	they	they	PRON
easat-2338	52	2	can	can	AUX
easat-2338	52	3	also	also	ADV
easat-2338	52	4	visualize	visualize	VERB
easat-2338	52	5	the	the	DET
easat-2338	52	6	relationships	relationship	NOUN
easat-2338	52	7	between	between	ADP
easat-2338	52	8	the	the	DET
easat-2338	52	9	features	feature	NOUN
easat-2338	52	10	and	and	CCONJ
easat-2338	52	11	the	the	DET
easat-2338	52	12	outcome	outcome	NOUN
easat-2338	52	13	,	,	PUNCT
easat-2338	52	14	or	or	CCONJ
easat-2338	52	15	between	between	ADP
easat-2338	52	16	different	different	ADJ
easat-2338	52	17	features	feature	NOUN
easat-2338	52	18	,	,	PUNCT
easat-2338	52	19	using	use	VERB
easat-2338	52	20	graphs	graph	NOUN
easat-2338	52	21	or	or	CCONJ
easat-2338	52	22	networks	network	NOUN
easat-2338	52	23	[	[	X
easat-2338	52	24	26	26	NUM
easat-2338	52	25	]	]	PUNCT
easat-2338	52	26	.	.	PUNCT
easat-2338	53	1	this	this	DET
easat-2338	53	2	paper	paper	NOUN
easat-2338	53	3	presents	present	VERB
easat-2338	53	4	a	a	DET
easat-2338	53	5	deep	deep	ADJ
easat-2338	53	6	learning	learning	NOUN
easat-2338	53	7	-	-	PUNCT
easat-2338	53	8	based	base	VERB
easat-2338	53	9	approach	approach	NOUN
easat-2338	53	10	,	,	PUNCT
easat-2338	53	11	named	name	VERB
easat-2338	53	12	as	as	ADP
easat-2338	53	13	prsnn	prsnn	NOUN
easat-2338	53	14	,	,	PUNCT
easat-2338	53	15	to	to	PART
easat-2338	53	16	generate	generate	VERB
easat-2338	53	17	polygenic	polygenic	ADJ
easat-2338	53	18	risk	risk	NOUN
easat-2338	53	19	scores	score	NOUN
easat-2338	53	20	(	(	PUNCT
easat-2338	53	21	prss	prss	NOUN
easat-2338	53	22	)	)	PUNCT
easat-2338	53	23	.	.	PUNCT
easat-2338	54	1	section	section	NOUN
easat-2338	54	2	2	2	NUM
easat-2338	54	3	discusses	discuss	VERB
easat-2338	54	4	the	the	DET
easat-2338	54	5	adopted	adopt	VERB
easat-2338	54	6	materials	material	NOUN
easat-2338	54	7	and	and	CCONJ
easat-2338	54	8	methods	method	NOUN
easat-2338	54	9	to	to	PART
easat-2338	54	10	explain	explain	VERB
easat-2338	54	11	the	the	DET
easat-2338	54	12	methodology	methodology	NOUN
easat-2338	54	13	of	of	ADP
easat-2338	54	14	the	the	DET
easat-2338	54	15	proposed	propose	VERB
easat-2338	54	16	approach	approach	NOUN
easat-2338	54	17	.	.	PUNCT
easat-2338	55	1	section	section	NOUN
easat-2338	55	2	3	3	NUM
easat-2338	55	3	presents	present	VERB
easat-2338	55	4	the	the	DET
easat-2338	55	5	obtained	obtain	VERB
easat-2338	55	6	results	result	NOUN
easat-2338	55	7	.	.	PUNCT
easat-2338	56	1	discussion	discussion	NOUN
easat-2338	56	2	is	be	AUX
easat-2338	56	3	made	make	VERB
easat-2338	56	4	in	in	ADP
easat-2338	56	5	section	section	NOUN
easat-2338	56	6	4	4	NUM
easat-2338	56	7	while	while	SCONJ
easat-2338	56	8	section	section	NOUN
easat-2338	56	9	5	5	NUM
easat-2338	56	10	draws	draw	VERB
easat-2338	56	11	the	the	DET
easat-2338	56	12	conclusion	conclusion	NOUN
easat-2338	56	13	.	.	PUNCT
easat-2338	57	1	2	2	X
easat-2338	57	2	.	.	X
easat-2338	57	3	materials	material	NOUN
easat-2338	57	4	and	and	CCONJ
easat-2338	57	5	methods	method	NOUN
easat-2338	57	6	we	we	PRON
easat-2338	57	7	propose	propose	VERB
easat-2338	57	8	a	a	DET
easat-2338	57	9	methodology	methodology	NOUN
easat-2338	57	10	for	for	ADP
easat-2338	57	11	disease	disease	NOUN
easat-2338	57	12	diagnosis	diagnosis	NOUN
easat-2338	57	13	using	use	VERB
easat-2338	57	14	genetic	genetic	ADJ
easat-2338	57	15	data	datum	NOUN
easat-2338	57	16	.	.	PUNCT
easat-2338	58	1	our	our	PRON
easat-2338	58	2	methodology	methodology	NOUN
easat-2338	58	3	consists	consist	VERB
easat-2338	58	4	of	of	ADP
easat-2338	58	5	two	two	NUM
easat-2338	58	6	parts	part	NOUN
easat-2338	58	7	:	:	PUNCT
easat-2338	58	8	generating	generate	VERB
easat-2338	58	9	polygenic	polygenic	ADJ
easat-2338	58	10	risk	risk	NOUN
easat-2338	58	11	scores	score	NOUN
easat-2338	58	12	and	and	CCONJ
easat-2338	58	13	evaluating	evaluate	VERB
easat-2338	58	14	their	their	PRON
easat-2338	58	15	diagnostic	diagnostic	ADJ
easat-2338	58	16	accuracy	accuracy	NOUN
easat-2338	58	17	.	.	PUNCT
easat-2338	59	1	we	we	PRON
easat-2338	59	2	use	use	VERB
easat-2338	59	3	two	two	NUM
easat-2338	59	4	methods	method	NOUN
easat-2338	59	5	to	to	PART
easat-2338	59	6	generate	generate	VERB
easat-2338	59	7	prss	prss	NOUN
easat-2338	59	8	:	:	PUNCT
easat-2338	59	9	the	the	DET
easat-2338	59	10	traditional	traditional	ADJ
easat-2338	59	11	method	method	NOUN
easat-2338	59	12	,	,	PUNCT
easat-2338	59	13	which	which	PRON
easat-2338	59	14	selects	select	VERB
easat-2338	59	15	single	single	ADJ
easat-2338	59	16	nucleotide	nucleotide	ADJ
easat-2338	59	17	polymorphisms	polymorphism	NOUN
easat-2338	59	18	based	base	VERB
easat-2338	59	19	on	on	ADP
easat-2338	59	20	their	their	PRON
easat-2338	59	21	quality	quality	NOUN
easat-2338	59	22	and	and	CCONJ
easat-2338	59	23	effect	effect	NOUN
easat-2338	59	24	size	size	NOUN
easat-2338	59	25	,	,	PUNCT
easat-2338	59	26	and	and	CCONJ
easat-2338	59	27	the	the	DET
easat-2338	59	28	prsnn	prsnn	NOUN
easat-2338	59	29	method	method	NOUN
easat-2338	59	30	,	,	PUNCT
easat-2338	59	31	which	which	PRON
easat-2338	59	32	trains	train	VERB
easat-2338	59	33	a	a	DET
easat-2338	59	34	neural	neural	ADJ
easat-2338	59	35	network	network	NOUN
easat-2338	59	36	model	model	NOUN
easat-2338	59	37	to	to	PART
easat-2338	59	38	learn	learn	VERB
easat-2338	59	39	the	the	DET
easat-2338	59	40	snp	snp	ADJ
easat-2338	59	41	weights	weight	NOUN
easat-2338	59	42	.	.	PUNCT
easat-2338	60	1	our	our	PRON
easat-2338	60	2	neural	neural	ADJ
easat-2338	60	3	network	network	NOUN
easat-2338	60	4	model	model	NOUN
easat-2338	60	5	takes	take	VERB
easat-2338	60	6	the	the	DET
easat-2338	60	7	snps	snps	NOUN
easat-2338	60	8	,	,	PUNCT
easat-2338	60	9	the	the	DET
easat-2338	60	10	genotype	genotype	NOUN
easat-2338	60	11	,	,	PUNCT
easat-2338	60	12	the	the	DET
easat-2338	60	13	pvalue	pvalue	NOUN
easat-2338	60	14	,	,	PUNCT
easat-2338	60	15	and	and	CCONJ
easat-2338	60	16	the	the	DET
easat-2338	60	17	effect	effect	NOUN
easat-2338	60	18	weights	weight	VERB
easat-2338	60	19	as	as	ADP
easat-2338	60	20	inputs	input	NOUN
easat-2338	60	21	,	,	PUNCT
easat-2338	60	22	and	and	CCONJ
easat-2338	60	23	predicts	predict	VERB
easat-2338	60	24	the	the	DET
easat-2338	60	25	disease	disease	NOUN
easat-2338	60	26	status	status	NOUN
easat-2338	60	27	as	as	ADP
easat-2338	60	28	output	output	NOUN
easat-2338	60	29	.	.	PUNCT
easat-2338	61	1	we	we	PRON
easat-2338	61	2	use	use	VERB
easat-2338	61	3	grid	grid	NOUN
easat-2338	61	4	search	search	NOUN
easat-2338	61	5	and	and	CCONJ
easat-2338	61	6	cross	cross	NOUN
easat-2338	61	7	-	-	NOUN
easat-2338	61	8	validation	validation	NOUN
easat-2338	61	9	to	to	PART
easat-2338	61	10	optimize	optimize	VERB
easat-2338	61	11	the	the	DET
easat-2338	61	12	model	model	NOUN
easat-2338	61	13	parameters	parameter	NOUN
easat-2338	61	14	.	.	PUNCT
easat-2338	62	1	once	once	SCONJ
easat-2338	62	2	the	the	DET
easat-2338	62	3	model	model	NOUN
easat-2338	62	4	is	be	AUX
easat-2338	62	5	trained	train	VERB
easat-2338	62	6	,	,	PUNCT
easat-2338	62	7	we	we	PRON
easat-2338	62	8	use	use	VERB
easat-2338	62	9	its	its	PRON
easat-2338	62	10	weights	weight	NOUN
easat-2338	62	11	to	to	PART
easat-2338	62	12	compute	compute	VERB
easat-2338	62	13	the	the	DET
easat-2338	62	14	prss	prss	NOUN
easat-2338	62	15	by	by	ADP
easat-2338	62	16	prsnn	prsnn	NOUN
easat-2338	62	17	.	.	PUNCT
easat-2338	63	1	we	we	PRON
easat-2338	63	2	test	test	VERB
easat-2338	63	3	our	our	PRON
easat-2338	63	4	methodology	methodology	NOUN
easat-2338	63	5	on	on	ADP
easat-2338	63	6	a	a	DET
easat-2338	63	7	real	real	ADJ
easat-2338	63	8	-	-	PUNCT
easat-2338	63	9	world	world	NOUN
easat-2338	63	10	dataset	dataset	VERB
easat-2338	63	11	from	from	ADP
easat-2338	63	12	opensnp	opensnp	NOUN
easat-2338	63	13	and	and	CCONJ
easat-2338	63	14	compare	compare	VERB
easat-2338	63	15	the	the	DET
easat-2338	63	16	diagnostic	diagnostic	ADJ
easat-2338	63	17	performance	performance	NOUN
easat-2338	63	18	of	of	ADP
easat-2338	63	19	the	the	DET
easat-2338	63	20	traditional	traditional	ADJ
easat-2338	63	21	method	method	NOUN
easat-2338	63	22	and	and	CCONJ
easat-2338	63	23	the	the	DET
easat-2338	63	24	prsnn	prsnn	NOUN
easat-2338	63	25	method	method	NOUN
easat-2338	63	26	.	.	PUNCT
easat-2338	64	1	figure-1	figure-1	PROPN
easat-2338	64	2	illustrates	illustrate	VERB
easat-2338	64	3	the	the	DET
easat-2338	64	4	proposed	propose	VERB
easat-2338	64	5	methodology	methodology	NOUN
easat-2338	64	6	.	.	PUNCT
easat-2338	65	1	1760	1760	NUM
easat-2338	65	2	edelweiss	edelweiss	PROPN
easat-2338	65	3	applied	apply	VERB
easat-2338	65	4	science	science	NOUN
easat-2338	65	5	and	and	CCONJ
easat-2338	65	6	technology	technology	NOUN
easat-2338	65	7	issn	issn	PROPN
easat-2338	65	8	:	:	PUNCT
easat-2338	65	9	2576	2576	NUM
easat-2338	65	10	-	-	SYM
easat-2338	65	11	8484	8484	NUM
easat-2338	65	12	vol	vol	NOUN
easat-2338	65	13	.	.	PROPN
easat-2338	65	14	8	8	NUM
easat-2338	65	15	,	,	PUNCT
easat-2338	65	16	no	no	INTJ
easat-2338	65	17	.	.	NOUN
easat-2338	66	1	6	6	NUM
easat-2338	66	2	:	:	SYM
easat-2338	66	3	1758	1758	NUM
easat-2338	66	4	-	-	SYM
easat-2338	66	5	1773	1773	NUM
easat-2338	66	6	,	,	PUNCT
easat-2338	66	7	2024	2024	NUM
easat-2338	66	8	doi	doi	NOUN
easat-2338	66	9	:	:	PUNCT
easat-2338	66	10	10.55214/25768484.v8i6.2338	10.55214/25768484.v8i6.2338	NUM
easat-2338	66	11	©	©	PROPN
easat-2338	66	12	2024	2024	NUM
easat-2338	66	13	by	by	ADP
easat-2338	66	14	the	the	DET
easat-2338	66	15	authors	author	NOUN
easat-2338	66	16	;	;	PUNCT
easat-2338	66	17	licensee	licensee	PROPN
easat-2338	66	18	learning	learn	VERB
easat-2338	66	19	gate	gate	NOUN
easat-2338	66	20	figure	figure	NOUN
easat-2338	66	21	1	1	NUM
easat-2338	66	22	.	.	PUNCT
easat-2338	67	1	the	the	DET
easat-2338	67	2	proposed	propose	VERB
easat-2338	67	3	methodology	methodology	NOUN
easat-2338	67	4	.	.	PUNCT
easat-2338	68	1	2.1	2.1	NUM
easat-2338	68	2	.	.	PUNCT
easat-2338	68	3	data	datum	NOUN
easat-2338	68	4	collection	collection	NOUN
easat-2338	68	5	and	and	CCONJ
easat-2338	68	6	preprocessing	preprocesse	VERB
easat-2338	68	7	the	the	DET
easat-2338	68	8	dataset	dataset	NOUN
easat-2338	68	9	from	from	ADP
easat-2338	68	10	the	the	DET
easat-2338	68	11	psychiatric	psychiatric	ADJ
easat-2338	68	12	genomics	genomics	NOUN
easat-2338	68	13	consortium	consortium	NOUN
easat-2338	68	14	(	(	PUNCT
easat-2338	68	15	pgc	pgc	PROPN
easat-2338	68	16	)	)	PUNCT
easat-2338	68	17	is	be	AUX
easat-2338	68	18	used	use	VERB
easat-2338	68	19	,	,	PUNCT
easat-2338	68	20	which	which	PRON
easat-2338	68	21	is	be	AUX
easat-2338	68	22	a	a	DET
easat-2338	68	23	large	large	ADJ
easat-2338	68	24	genetic	genetic	ADJ
easat-2338	68	25	variation	variation	NOUN
easat-2338	68	26	source	source	NOUN
easat-2338	68	27	associated	associate	VERB
easat-2338	68	28	with	with	ADP
easat-2338	68	29	psychiatric	psychiatric	ADJ
easat-2338	68	30	diseases	disease	NOUN
easat-2338	68	31	utilizing	utilize	VERB
easat-2338	68	32	gwas	gwas	NOUN
easat-2338	68	33	and	and	CCONJ
easat-2338	68	34	other	other	ADJ
easat-2338	68	35	methods	method	NOUN
easat-2338	68	36	[	[	X
easat-2338	68	37	27][28	27][28	PROPN
easat-2338	68	38	]	]	PUNCT
easat-2338	68	39	.	.	PUNCT
easat-2338	69	1	we	we	PRON
easat-2338	69	2	also	also	ADV
easat-2338	69	3	used	use	VERB
easat-2338	69	4	genotype	genotype	NOUN
easat-2338	69	5	datasets	dataset	NOUN
easat-2338	69	6	containing	contain	VERB
easat-2338	69	7	case	case	NOUN
easat-2338	69	8	and	and	CCONJ
easat-2338	69	9	control	control	NOUN
easat-2338	69	10	samples	sample	NOUN
easat-2338	69	11	from	from	ADP
easat-2338	69	12	the	the	DET
easat-2338	69	13	opensnp	opensnp	ADJ
easat-2338	69	14	platform	platform	NOUN
easat-2338	69	15	,	,	PUNCT
easat-2338	69	16	a	a	DET
easat-2338	69	17	website	website	NOUN
easat-2338	69	18	that	that	PRON
easat-2338	69	19	collects	collect	VERB
easat-2338	69	20	personal	personal	ADJ
easat-2338	69	21	genomic	genomic	ADJ
easat-2338	69	22	data	datum	NOUN
easat-2338	69	23	from	from	ADP
easat-2338	69	24	individuals	individual	NOUN
easat-2338	69	25	who	who	PRON
easat-2338	69	26	have	have	AUX
easat-2338	69	27	done	do	VERB
easat-2338	69	28	direct	direct	ADJ
easat-2338	69	29	-	-	PUNCT
easat-2338	69	30	to	to	ADP
easat-2338	69	31	-	-	PUNCT
easat-2338	69	32	consumer	consumer	NOUN
easat-2338	69	33	dna	dna	NOUN
easat-2338	69	34	testing	testing	NOUN
easat-2338	69	35	.	.	PUNCT
easat-2338	70	1	these	these	DET
easat-2338	70	2	genomic	genomic	ADJ
easat-2338	70	3	data	datum	NOUN
easat-2338	70	4	contain	contain	VERB
easat-2338	70	5	the	the	DET
easat-2338	70	6	snps	snps	NOUN
easat-2338	70	7	of	of	ADP
easat-2338	70	8	the	the	DET
easat-2338	70	9	individuals	individual	NOUN
easat-2338	70	10	,	,	PUNCT
easat-2338	70	11	and	and	CCONJ
easat-2338	70	12	these	these	DET
easat-2338	70	13	datasets	dataset	NOUN
easat-2338	70	14	comprise	comprise	VERB
easat-2338	70	15	both	both	DET
easat-2338	70	16	cases	case	NOUN
easat-2338	70	17	of	of	ADP
easat-2338	70	18	anxiety	anxiety	NOUN
easat-2338	70	19	and	and	CCONJ
easat-2338	70	20	depression	depression	NOUN
easat-2338	70	21	as	as	ADP
easat-2338	70	22	a	a	DET
easat-2338	70	23	mental	mental	ADJ
easat-2338	70	24	disorder	disorder	NOUN
easat-2338	70	25	and	and	CCONJ
easat-2338	70	26	healthy	healthy	ADJ
easat-2338	70	27	controls	control	NOUN
easat-2338	70	28	.	.	PUNCT
easat-2338	71	1	table	table	NOUN
easat-2338	71	2	1	1	NUM
easat-2338	71	3	presents	present	VERB
easat-2338	71	4	the	the	DET
easat-2338	71	5	demographic	demographic	ADJ
easat-2338	71	6	features	feature	NOUN
easat-2338	71	7	of	of	ADP
easat-2338	71	8	the	the	DET
easat-2338	71	9	opensnp	opensnp	ADJ
easat-2338	71	10	datasets	dataset	NOUN
easat-2338	71	11	,	,	PUNCT
easat-2338	71	12	while	while	SCONJ
easat-2338	71	13	figure-2	figure-2	PROPN
easat-2338	71	14	illustrates	illustrate	VERB
easat-2338	71	15	the	the	DET
easat-2338	71	16	distribution	distribution	NOUN
easat-2338	71	17	of	of	ADP
easat-2338	71	18	file	file	NOUN
easat-2338	71	19	sources	source	NOUN
easat-2338	71	20	,	,	PUNCT
easat-2338	71	21	with	with	ADP
easat-2338	71	22	23andme	23andme	NUM
easat-2338	71	23	,	,	PUNCT
easat-2338	71	24	ancestry	ancestry	NOUN
easat-2338	71	25	,	,	PUNCT
easat-2338	71	26	and	and	CCONJ
easat-2338	71	27	ftdna	ftdna	NOUN
easat-2338	71	28	-	-	PUNCT
easat-2338	71	29	illumina	illumina	PROPN
easat-2338	71	30	being	be	AUX
easat-2338	71	31	the	the	DET
easat-2338	71	32	most	most	ADV
easat-2338	71	33	prevalent	prevalent	ADJ
easat-2338	71	34	file	file	NOUN
easat-2338	71	35	types	type	NOUN
easat-2338	72	1	[	[	X
easat-2338	72	2	29][30	29][30	NUM
easat-2338	72	3	]	]	PUNCT
easat-2338	72	4	.	.	PUNCT
easat-2338	72	5	table	table	NOUN
easat-2338	72	6	1	1	NUM
easat-2338	72	7	.	.	PUNCT
easat-2338	73	1	demographic	demographic	ADJ
easat-2338	73	2	features	feature	NOUN
easat-2338	73	3	of	of	ADP
easat-2338	73	4	the	the	DET
easat-2338	73	5	open	open	ADJ
easat-2338	73	6	snp	snp	ADJ
easat-2338	73	7	dataset	dataset	NOUN
easat-2338	73	8	.	.	PUNCT
easat-2338	74	1	demographic	demographic	ADJ
easat-2338	74	2	feature	feature	NOUN
easat-2338	74	3	details	detail	NOUN
easat-2338	74	4	age	age	NOUN
easat-2338	74	5	varies	vary	VERB
easat-2338	74	6	widely	widely	ADV
easat-2338	74	7	;	;	PUNCT
easat-2338	74	8	includes	include	VERB
easat-2338	74	9	users	user	NOUN
easat-2338	74	10	from	from	ADP
easat-2338	74	11	different	different	ADJ
easat-2338	74	12	age	age	NOUN
easat-2338	74	13	groups	group	NOUN
easat-2338	74	14	sex	sex	VERB
easat-2338	74	15	both	both	CCONJ
easat-2338	74	16	male	male	ADJ
easat-2338	74	17	and	and	CCONJ
easat-2338	74	18	female	female	ADJ
easat-2338	74	19	users	user	NOUN
easat-2338	74	20	are	be	AUX
easat-2338	74	21	represented	represent	VERB
easat-2338	74	22	ethnicity	ethnicity	NOUN
easat-2338	74	23	diverse	diverse	ADJ
easat-2338	74	24	ethnic	ethnic	ADJ
easat-2338	74	25	backgrounds	background	NOUN
easat-2338	74	26	,	,	PUNCT
easat-2338	74	27	particularly	particularly	ADV
easat-2338	74	28	european	european	ADJ
easat-2338	74	29	genetic	genetic	ADJ
easat-2338	74	30	testing	testing	NOUN
easat-2338	74	31	services	service	NOUN
easat-2338	74	32	data	datum	NOUN
easat-2338	74	33	from	from	ADP
easat-2338	74	34	multiple	multiple	ADJ
easat-2338	74	35	genetic	genetic	ADJ
easat-2338	74	36	testing	testing	NOUN
easat-2338	74	37	services	service	NOUN
easat-2338	74	38	like	like	ADP
easat-2338	74	39	23andme	23andme	NUM
easat-2338	74	40	,	,	PUNCT
easat-2338	74	41	decodeme	decodeme	NOUN
easat-2338	74	42	,	,	PUNCT
easat-2338	74	43	and	and	CCONJ
easat-2338	74	44	familytreedna	familytreedna	ADJ
easat-2338	74	45	phenotypic	phenotypic	ADJ
easat-2338	74	46	traits	trait	NOUN
easat-2338	74	47	users	user	NOUN
easat-2338	74	48	share	share	VERB
easat-2338	74	49	a	a	DET
easat-2338	74	50	wide	wide	ADJ
easat-2338	74	51	range	range	NOUN
easat-2338	74	52	of	of	ADP
easat-2338	74	53	phenotypic	phenotypic	ADJ
easat-2338	74	54	traits	trait	NOUN
easat-2338	74	55	,	,	PUNCT
easat-2338	74	56	includ	includ	NOUN
easat-2338	74	57	ing	ing	ADJ
easat-2338	74	58	physical	physical	ADJ
easat-2338	74	59	characteristics	characteristic	NOUN
easat-2338	74	60	,	,	PUNCT
easat-2338	74	61	health	health	NOUN
easat-2338	74	62	conditions	condition	NOUN
easat-2338	74	63	,	,	PUNCT
easat-2338	74	64	and	and	CCONJ
easat-2338	74	65	lifestyle	lifestyle	NOUN
easat-2338	74	66	factors	factor	NOUN
easat-2338	74	67	genotypes	genotype	NOUN
easat-2338	74	68	over	over	ADP
easat-2338	74	69	215	215	NUM
easat-2338	74	70	million	million	NUM
easat-2338	74	71	genotypes	genotype	NOUN
easat-2338	74	72	distributed	distribute	VERB
easat-2338	74	73	across	across	ADP
easat-2338	74	74	more	more	ADJ
easat-2338	74	75	than	than	ADP
easat-2338	74	76	2	2	NUM
easat-2338	74	77	million	million	NUM
easat-2338	74	78	unique	unique	ADJ
easat-2338	74	79	snps	snps	PROPN
easat-2338	74	80	geographic	geographic	ADJ
easat-2338	74	81	location	location	NOUN
easat-2338	74	82	users	user	NOUN
easat-2338	74	83	from	from	ADP
easat-2338	74	84	various	various	ADJ
easat-2338	74	85	countries	country	NOUN
easat-2338	74	86	around	around	ADP
easat-2338	74	87	the	the	DET
easat-2338	74	88	world	world	NOUN
easat-2338	74	89	as	as	ADP
easat-2338	74	90	a	a	DET
easat-2338	74	91	result	result	NOUN
easat-2338	74	92	,	,	PUNCT
easat-2338	74	93	three	three	NUM
easat-2338	74	94	datasets	dataset	NOUN
easat-2338	74	95	were	be	AUX
easat-2338	74	96	employed	employ	VERB
easat-2338	74	97	for	for	ADP
easat-2338	74	98	training	training	NOUN
easat-2338	74	99	:	:	PUNCT
easat-2338	74	100	the	the	DET
easat-2338	74	101	pgc	pgc	PROPN
easat-2338	74	102	summary	summary	NOUN
easat-2338	74	103	statistics	statistic	NOUN
easat-2338	74	104	for	for	ADP
easat-2338	74	105	bipolar	bipolar	ADJ
easat-2338	74	106	disorder	disorder	NOUN
easat-2338	74	107	,	,	PUNCT
easat-2338	74	108	depression	depression	NOUN
easat-2338	74	109	,	,	PUNCT
easat-2338	74	110	and	and	CCONJ
easat-2338	74	111	panic	panic	NOUN
easat-2338	74	112	disorder	disorder	NOUN
easat-2338	74	113	.	.	PUNCT
easat-2338	75	1	for	for	ADP
easat-2338	75	2	the	the	DET
easat-2338	75	3	test	test	NOUN
easat-2338	75	4	data	datum	NOUN
easat-2338	75	5	,	,	PUNCT
easat-2338	75	6	we	we	PRON
easat-2338	75	7	employed	employ	VERB
easat-2338	75	8	the	the	DET
easat-2338	75	9	opensnp	opensnp	ADJ
easat-2338	75	10	individual	individual	ADJ
easat-2338	75	11	genotypes	genotype	NOUN
easat-2338	75	12	,	,	PUNCT
easat-2338	75	13	which	which	PRON
easat-2338	75	14	included	include	VERB
easat-2338	75	15	traits	trait	NOUN
easat-2338	75	16	related	relate	VERB
easat-2338	75	17	to	to	ADP
easat-2338	75	18	anxiety	anxiety	NOUN
easat-2338	75	19	,	,	PUNCT
easat-2338	75	20	depression	depression	NOUN
easat-2338	75	21	,	,	PUNCT
easat-2338	75	22	bipolar	bipolar	ADJ
easat-2338	75	23	disorder	disorder	NOUN
easat-2338	75	24	,	,	PUNCT
easat-2338	75	25	and	and	CCONJ
easat-2338	75	26	panic	panic	NOUN
easat-2338	75	27	.	.	PUNCT
easat-2338	76	1	the	the	DET
easat-2338	76	2	pcg	pcg	PROPN
easat-2338	76	3	library	library	NOUN
easat-2338	76	4	was	be	AUX
easat-2338	76	5	used	use	VERB
easat-2338	76	6	to	to	PART
easat-2338	76	7	detect	detect	VERB
easat-2338	76	8	variants	variant	NOUN
easat-2338	76	9	in	in	ADP
easat-2338	76	10	the	the	DET
easat-2338	76	11	opensnp	opensnp	PROPN
easat-2338	76	12	dataset	dataset	NOUN
easat-2338	76	13	.	.	PUNCT
easat-2338	77	1	table	table	NOUN
easat-2338	77	2	2	2	NUM
easat-2338	77	3	provides	provide	VERB
easat-2338	77	4	a	a	DET
easat-2338	77	5	summary	summary	NOUN
easat-2338	77	6	of	of	ADP
easat-2338	77	7	the	the	DET
easat-2338	77	8	features	feature	NOUN
easat-2338	77	9	of	of	ADP
easat-2338	77	10	the	the	DET
easat-2338	77	11	datasets	dataset	NOUN
easat-2338	77	12	used	use	VERB
easat-2338	77	13	in	in	ADP
easat-2338	77	14	this	this	DET
easat-2338	77	15	study	study	NOUN
easat-2338	77	16	.	.	PUNCT
easat-2338	78	1	1761	1761	NUM
easat-2338	78	2	edelweiss	edelweiss	PROPN
easat-2338	78	3	applied	apply	VERB
easat-2338	78	4	science	science	NOUN
easat-2338	78	5	and	and	CCONJ
easat-2338	78	6	technology	technology	NOUN
easat-2338	78	7	issn	issn	PROPN
easat-2338	78	8	:	:	PUNCT
easat-2338	78	9	2576	2576	NUM
easat-2338	78	10	-	-	SYM
easat-2338	78	11	8484	8484	NUM
easat-2338	78	12	vol	vol	NOUN
easat-2338	78	13	.	.	PROPN
easat-2338	78	14	8	8	NUM
easat-2338	78	15	,	,	PUNCT
easat-2338	78	16	no	no	INTJ
easat-2338	78	17	.	.	NOUN
easat-2338	79	1	6	6	NUM
easat-2338	79	2	:	:	SYM
easat-2338	79	3	1758	1758	NUM
easat-2338	79	4	-	-	SYM
easat-2338	79	5	1773	1773	NUM
easat-2338	79	6	,	,	PUNCT
easat-2338	79	7	2024	2024	NUM
easat-2338	79	8	doi	doi	NOUN
easat-2338	79	9	:	:	PUNCT
easat-2338	79	10	10.55214/25768484.v8i6.2338	10.55214/25768484.v8i6.2338	NUM
easat-2338	79	11	©	©	PROPN
easat-2338	79	12	2024	2024	NUM
easat-2338	79	13	by	by	ADP
easat-2338	79	14	the	the	DET
easat-2338	79	15	authors	author	NOUN
easat-2338	79	16	;	;	PUNCT
easat-2338	79	17	licensee	licensee	PROPN
easat-2338	79	18	learning	learn	VERB
easat-2338	79	19	gate	gate	NOUN
easat-2338	79	20	figure	figure	NOUN
easat-2338	79	21	2	2	NUM
easat-2338	79	22	.	.	PUNCT
easat-2338	79	23	number	number	NOUN
easat-2338	79	24	of	of	ADP
easat-2338	79	25	genotype	genotype	NOUN
easat-2338	79	26	samples	sample	NOUN
easat-2338	79	27	available	available	ADJ
easat-2338	79	28	on	on	ADP
easat-2338	79	29	opensnp	opensnp	NOUN
easat-2338	79	30	,	,	PUNCT
easat-2338	79	31	categorized	categorize	VERB
easat-2338	79	32	by	by	ADP
easat-2338	79	33	file	file	NOUN
easat-2338	79	34	type	type	NOUN
easat-2338	79	35	.	.	PUNCT
easat-2338	80	1	table	table	NOUN
easat-2338	80	2	2	2	NUM
easat-2338	80	3	.	.	PUNCT
easat-2338	80	4	disease	disease	NOUN
easat-2338	80	5	training	training	NOUN
easat-2338	80	6	and	and	CCONJ
easat-2338	80	7	testing	testing	NOUN
easat-2338	80	8	data	datum	NOUN
easat-2338	80	9	information	information	NOUN
easat-2338	80	10	.	.	PUNCT
easat-2338	81	1	disease	disease	NOUN
easat-2338	81	2	training	training	NOUN
easat-2338	81	3	data	datum	NOUN
easat-2338	81	4	references	reference	NOUN
easat-2338	81	5	testing	testing	NOUN
easat-2338	81	6	data	datum	NOUN
easat-2338	81	7	bipolar	bipolar	ADJ
easat-2338	81	8	41917	41917	NUM
easat-2338	81	9	cases	case	NOUN
easat-2338	81	10	,	,	PUNCT
easat-2338	81	11	371549	371549	NUM
easat-2338	81	12	controls	control	VERB
easat-2338	81	13	[	[	X
easat-2338	81	14	31	31	NUM
easat-2338	81	15	]	]	SYM
easat-2338	81	16	5	5	NUM
easat-2338	81	17	cases	case	NOUN
easat-2338	81	18	,	,	PUNCT
easat-2338	81	19	70	70	NUM
easat-2338	81	20	controls	control	VERB
easat-2338	81	21	depression	depression	NOUN
easat-2338	81	22	153458	153458	NUM
easat-2338	81	23	cases	case	NOUN
easat-2338	81	24	,	,	PUNCT
easat-2338	81	25	344901	344901	NUM
easat-2338	81	26	controls	control	VERB
easat-2338	81	27	[	[	X
easat-2338	81	28	32	32	NUM
easat-2338	81	29	]	]	SYM
easat-2338	81	30	50	50	NUM
easat-2338	81	31	cases	case	NOUN
easat-2338	81	32	,	,	PUNCT
easat-2338	81	33	70	70	NUM
easat-2338	81	34	controls	control	VERB
easat-2338	81	35	panic	panic	NOUN
easat-2338	81	36	disorder	disorder	NOUN
easat-2338	81	37	7016	7016	NUM
easat-2338	81	38	cases	case	NOUN
easat-2338	81	39	,	,	PUNCT
easat-2338	81	40	14	14	NUM
easat-2338	81	41	745	745	NUM
easat-2338	81	42	controls	control	NOUN
easat-2338	81	43	[	[	X
easat-2338	81	44	33	33	NUM
easat-2338	81	45	]	]	SYM
easat-2338	81	46	10	10	NUM
easat-2338	81	47	cases	case	NOUN
easat-2338	81	48	,	,	PUNCT
easat-2338	81	49	40	40	NUM
easat-2338	81	50	controls	control	NOUN
easat-2338	81	51	we	we	PRON
easat-2338	81	52	performed	perform	VERB
easat-2338	81	53	data	datum	NOUN
easat-2338	81	54	quality	quality	NOUN
easat-2338	81	55	checks	check	NOUN
easat-2338	81	56	on	on	ADP
easat-2338	81	57	both	both	DET
easat-2338	81	58	sources	source	NOUN
easat-2338	81	59	to	to	PART
easat-2338	81	60	detect	detect	VERB
easat-2338	81	61	and	and	CCONJ
easat-2338	81	62	handle	handle	VERB
easat-2338	81	63	ambiguous	ambiguous	ADJ
easat-2338	81	64	snps	snps	NOUN
easat-2338	81	65	,	,	PUNCT
easat-2338	81	66	mismatching	mismatching	PROPN
easat-2338	81	67	snps	snps	PROPN
easat-2338	81	68	,	,	PUNCT
easat-2338	81	69	and	and	CCONJ
easat-2338	81	70	missing	miss	VERB
easat-2338	81	71	values	value	NOUN
easat-2338	81	72	.	.	PUNCT
easat-2338	82	1	we	we	PRON
easat-2338	82	2	then	then	ADV
easat-2338	82	3	selected	select	VERB
easat-2338	82	4	a	a	DET
easat-2338	82	5	subset	subset	NOUN
easat-2338	82	6	of	of	ADP
easat-2338	82	7	snps	snps	PROPN
easat-2338	82	8	from	from	ADP
easat-2338	82	9	the	the	DET
easat-2338	82	10	pgc	pgc	PROPN
easat-2338	82	11	data	datum	NOUN
easat-2338	82	12	that	that	PRON
easat-2338	82	13	exhibited	exhibit	VERB
easat-2338	82	14	associations	association	NOUN
easat-2338	82	15	with	with	ADP
easat-2338	82	16	the	the	DET
easat-2338	82	17	disease	disease	NOUN
easat-2338	82	18	of	of	ADP
easat-2338	82	19	interest	interest	NOUN
easat-2338	82	20	,	,	PUNCT
easat-2338	82	21	applying	apply	VERB
easat-2338	82	22	a	a	DET
easat-2338	82	23	p	p	ADJ
easat-2338	82	24	-	-	PUNCT
easat-2338	82	25	value	value	NOUN
easat-2338	82	26	threshold	threshold	NOUN
easat-2338	82	27	of	of	ADP
easat-2338	82	28	0.005	0.005	NUM
easat-2338	82	29	to	to	PART
easat-2338	82	30	distinguish	distinguish	VERB
easat-2338	82	31	between	between	ADP
easat-2338	82	32	cases	case	NOUN
easat-2338	82	33	and	and	CCONJ
easat-2338	82	34	controls	control	NOUN
easat-2338	82	35	is	be	AUX
easat-2338	82	36	considered	consider	VERB
easat-2338	82	37	statistically	statistically	ADV
easat-2338	82	38	significant	significant	ADJ
easat-2338	82	39	,	,	PUNCT
easat-2338	82	40	particularly	particularly	ADV
easat-2338	82	41	in	in	ADP
easat-2338	82	42	the	the	DET
easat-2338	82	43	field	field	NOUN
easat-2338	82	44	of	of	ADP
easat-2338	82	45	genomics	genomic	NOUN
easat-2338	82	46	[	[	X
easat-2338	82	47	34	34	NUM
easat-2338	82	48	]	]	PUNCT
easat-2338	82	49	.	.	PUNCT
easat-2338	83	1	for	for	ADP
easat-2338	83	2	feature	feature	NOUN
easat-2338	83	3	extraction	extraction	NOUN
easat-2338	83	4	,	,	PUNCT
easat-2338	83	5	we	we	PRON
easat-2338	83	6	encoded	encode	VERB
easat-2338	83	7	the	the	DET
easat-2338	83	8	genotype	genotype	NOUN
easat-2338	83	9	data	datum	NOUN
easat-2338	83	10	,	,	PUNCT
easat-2338	83	11	and	and	CCONJ
easat-2338	83	12	for	for	ADP
easat-2338	83	13	feature	feature	NOUN
easat-2338	83	14	selection	selection	NOUN
easat-2338	83	15	,	,	PUNCT
easat-2338	83	16	we	we	PRON
easat-2338	83	17	employed	employ	VERB
easat-2338	83	18	random	random	ADJ
easat-2338	83	19	forest	forest	NOUN
easat-2338	83	20	(	(	PUNCT
easat-2338	83	21	rf	rf	NOUN
easat-2338	83	22	)	)	PUNCT
easat-2338	83	23	,	,	PUNCT
easat-2338	83	24	a	a	DET
easat-2338	83	25	machine	machine	NOUN
easat-2338	83	26	learning	learning	NOUN
easat-2338	83	27	method	method	NOUN
easat-2338	83	28	,	,	PUNCT
easat-2338	83	29	to	to	PART
easat-2338	83	30	identify	identify	VERB
easat-2338	83	31	the	the	DET
easat-2338	83	32	most	most	ADV
easat-2338	83	33	essential	essential	ADJ
easat-2338	83	34	features	feature	NOUN
easat-2338	83	35	.	.	PUNCT
easat-2338	84	1	figure-1	figure-1	PROPN
easat-2338	84	2	shows	show	VERB
easat-2338	84	3	the	the	DET
easat-2338	84	4	flowchart	flowchart	NOUN
easat-2338	84	5	of	of	ADP
easat-2338	84	6	our	our	PRON
easat-2338	84	7	data	datum	NOUN
easat-2338	84	8	preprocessing	preprocesse	VERB
easat-2338	84	9	steps	step	NOUN
easat-2338	84	10	,	,	PUNCT
easat-2338	84	11	along	along	ADP
easat-2338	84	12	with	with	ADP
easat-2338	84	13	some	some	DET
easat-2338	84	14	examples	example	NOUN
easat-2338	84	15	of	of	ADP
easat-2338	84	16	snp	snp	ADJ
easat-2338	84	17	data	datum	NOUN
easat-2338	84	18	and	and	CCONJ
easat-2338	84	19	the	the	DET
easat-2338	84	20	features	feature	NOUN
easat-2338	84	21	that	that	PRON
easat-2338	84	22	we	we	PRON
easat-2338	84	23	used	use	VERB
easat-2338	84	24	for	for	ADP
easat-2338	84	25	our	our	PRON
easat-2338	84	26	model	model	NOUN
easat-2338	84	27	.	.	PUNCT
easat-2338	85	1	2.2	2.2	NUM
easat-2338	85	2	.	.	PUNCT
easat-2338	86	1	deep	deep	ADJ
easat-2338	86	2	learning	learning	NOUN
easat-2338	86	3	model	model	NOUN
easat-2338	86	4	a	a	DET
easat-2338	86	5	deep	deep	ADJ
easat-2338	86	6	learning	learning	NOUN
easat-2338	86	7	model	model	NOUN
easat-2338	86	8	called	call	VERB
easat-2338	86	9	the	the	DET
easat-2338	86	10	sequential	sequential	ADJ
easat-2338	86	11	model	model	NOUN
easat-2338	86	12	,	,	PUNCT
easat-2338	86	13	which	which	PRON
easat-2338	86	14	is	be	AUX
easat-2338	86	15	a	a	DET
easat-2338	86	16	kind	kind	NOUN
easat-2338	86	17	of	of	ADP
easat-2338	86	18	neural	neural	ADJ
easat-2338	86	19	network	network	NOUN
easat-2338	86	20	(	(	PUNCT
easat-2338	86	21	nn	nn	PROPN
easat-2338	86	22	)	)	PUNCT
easat-2338	86	23	,	,	PUNCT
easat-2338	86	24	is	be	AUX
easat-2338	86	25	employed	employ	VERB
easat-2338	86	26	to	to	PART
easat-2338	86	27	predict	predict	VERB
easat-2338	86	28	the	the	DET
easat-2338	86	29	disease	disease	NOUN
easat-2338	86	30	status	status	NOUN
easat-2338	86	31	using	use	VERB
easat-2338	86	32	four	four	NUM
easat-2338	86	33	features	feature	NOUN
easat-2338	86	34	:	:	PUNCT
easat-2338	86	35	genotype	genotype	NOUN
easat-2338	86	36	encoding	encoding	NOUN
easat-2338	86	37	,	,	PUNCT
easat-2338	86	38	snp	snp	ADJ
easat-2338	86	39	,	,	PUNCT
easat-2338	86	40	effect	effect	NOUN
easat-2338	86	41	weight	weight	NOUN
easat-2338	86	42	,	,	PUNCT
easat-2338	86	43	and	and	CCONJ
easat-2338	86	44	p	p	NOUN
easat-2338	86	45	-	-	PUNCT
easat-2338	86	46	value	value	NOUN
easat-2338	86	47	.	.	PUNCT
easat-2338	87	1	our	our	PRON
easat-2338	87	2	model	model	NOUN
easat-2338	87	3	architecture	architecture	NOUN
easat-2338	87	4	is	be	AUX
easat-2338	87	5	designed	design	VERB
easat-2338	87	6	to	to	PART
easat-2338	87	7	predict	predict	VERB
easat-2338	87	8	binary	binary	ADJ
easat-2338	87	9	outcomes	outcome	NOUN
easat-2338	87	10	,	,	PUNCT
easat-2338	87	11	such	such	ADJ
easat-2338	87	12	as	as	ADP
easat-2338	87	13	disease	disease	NOUN
easat-2338	87	14	presence	presence	NOUN
easat-2338	87	15	,	,	PUNCT
easat-2338	87	16	based	base	VERB
easat-2338	87	17	on	on	ADP
easat-2338	87	18	input	input	NOUN
easat-2338	87	19	data	datum	NOUN
easat-2338	87	20	.	.	PUNCT
easat-2338	88	1	1762	1762	NUM
easat-2338	88	2	edelweiss	edelweiss	PROPN
easat-2338	88	3	applied	apply	VERB
easat-2338	88	4	science	science	NOUN
easat-2338	88	5	and	and	CCONJ
easat-2338	88	6	technology	technology	NOUN
easat-2338	88	7	issn	issn	PROPN
easat-2338	88	8	:	:	PUNCT
easat-2338	88	9	2576	2576	NUM
easat-2338	88	10	-	-	SYM
easat-2338	88	11	8484	8484	NUM
easat-2338	88	12	vol	vol	NOUN
easat-2338	88	13	.	.	PROPN
easat-2338	88	14	8	8	NUM
easat-2338	88	15	,	,	PUNCT
easat-2338	88	16	no	no	INTJ
easat-2338	88	17	.	.	NOUN
easat-2338	89	1	6	6	NUM
easat-2338	89	2	:	:	SYM
easat-2338	89	3	1758	1758	NUM
easat-2338	89	4	-	-	SYM
easat-2338	89	5	1773	1773	NUM
easat-2338	89	6	,	,	PUNCT
easat-2338	89	7	2024	2024	NUM
easat-2338	89	8	doi	doi	NOUN
easat-2338	89	9	:	:	PUNCT
easat-2338	89	10	10.55214/25768484.v8i6.2338	10.55214/25768484.v8i6.2338	NUM
easat-2338	89	11	©	©	PROPN
easat-2338	89	12	2024	2024	NUM
easat-2338	89	13	by	by	ADP
easat-2338	89	14	the	the	DET
easat-2338	89	15	authors	author	NOUN
easat-2338	89	16	;	;	PUNCT
easat-2338	89	17	licensee	licensee	PROPN
easat-2338	89	18	learning	learn	VERB
easat-2338	89	19	gate	gate	PROPN
easat-2338	89	20	figure	figure	NOUN
easat-2338	89	21	3	3	NUM
easat-2338	89	22	.	.	PUNCT
easat-2338	89	23	flowchart	flowchart	NOUN
easat-2338	89	24	of	of	ADP
easat-2338	89	25	the	the	DET
easat-2338	89	26	training	training	NOUN
easat-2338	89	27	model	model	NOUN
easat-2338	89	28	and	and	CCONJ
easat-2338	89	29	hyperparameters	hyperparameter	NOUN
easat-2338	89	30	.	.	PUNCT
easat-2338	90	1	the	the	DET
easat-2338	90	2	neural	neural	ADJ
easat-2338	90	3	network	network	NOUN
easat-2338	90	4	comprises	comprise	VERB
easat-2338	90	5	two	two	NUM
easat-2338	90	6	hidden	hidden	ADJ
easat-2338	90	7	layers	layer	NOUN
easat-2338	90	8	with	with	ADP
easat-2338	90	9	relu	relu	NOUN
easat-2338	90	10	activation	activation	NOUN
easat-2338	90	11	and	and	CCONJ
easat-2338	90	12	an	an	DET
easat-2338	90	13	output	output	NOUN
easat-2338	90	14	layer	layer	NOUN
easat-2338	90	15	with	with	ADP
easat-2338	90	16	a	a	DET
easat-2338	90	17	sigmoid	sigmoid	NOUN
easat-2338	90	18	activation	activation	NOUN
easat-2338	90	19	function	function	NOUN
easat-2338	90	20	.	.	PUNCT
easat-2338	91	1	during	during	ADP
easat-2338	91	2	training	training	NOUN
easat-2338	91	3	,	,	PUNCT
easat-2338	91	4	we	we	PRON
easat-2338	91	5	use	use	VERB
easat-2338	91	6	binary	binary	PROPN
easat-2338	91	7	cross	cross	PROPN
easat-2338	91	8	-	-	ADJ
easat-2338	91	9	entropy	entropy	ADJ
easat-2338	91	10	loss	loss	NOUN
easat-2338	91	11	,	,	PUNCT
easat-2338	91	12	and	and	CCONJ
easat-2338	91	13	for	for	ADP
easat-2338	91	14	evaluation	evaluation	NOUN
easat-2338	91	15	,	,	PUNCT
easat-2338	91	16	we	we	PRON
easat-2338	91	17	rely	rely	VERB
easat-2338	91	18	on	on	ADP
easat-2338	91	19	accuracy	accuracy	NOUN
easat-2338	91	20	.	.	PUNCT
easat-2338	92	1	the	the	DET
easat-2338	92	2	sigmoid	sigmoid	NOUN
easat-2338	92	3	function	function	NOUN
easat-2338	92	4	produces	produce	VERB
easat-2338	92	5	a	a	DET
easat-2338	92	6	value	value	NOUN
easat-2338	92	7	between	between	ADP
easat-2338	92	8	0	0	NUM
easat-2338	92	9	and	and	CCONJ
easat-2338	92	10	1	1	NUM
easat-2338	92	11	,	,	PUNCT
easat-2338	92	12	representing	represent	VERB
easat-2338	92	13	the	the	DET
easat-2338	92	14	probability	probability	NOUN
easat-2338	92	15	of	of	ADP
easat-2338	92	16	disease	disease	NOUN
easat-2338	92	17	presence	presence	NOUN
easat-2338	92	18	.	.	PUNCT
easat-2338	93	1	table	table	NOUN
easat-2338	93	2	3	3	NUM
easat-2338	93	3	displays	display	VERB
easat-2338	93	4	the	the	DET
easat-2338	93	5	model	model	NOUN
easat-2338	93	6	architecture	architecture	NOUN
easat-2338	93	7	details	detail	NOUN
easat-2338	93	8	.	.	PUNCT
easat-2338	94	1	table	table	NOUN
easat-2338	94	2	3	3	NUM
easat-2338	94	3	.	.	PUNCT
easat-2338	95	1	the	the	DET
easat-2338	95	2	nn	nn	PROPN
easat-2338	95	3	architecture	architecture	NOUN
easat-2338	95	4	details	detail	NOUN
easat-2338	95	5	.	.	PUNCT
easat-2338	96	1	layer	layer	NOUN
easat-2338	96	2	parameters	parameter	NOUN
easat-2338	96	3	layer	layer	NOUN
easat-2338	96	4	1	1	NUM
easat-2338	96	5	input	input	NOUN
easat-2338	96	6	shape	shape	NOUN
easat-2338	96	7	layer	layer	NOUN
easat-2338	96	8	2	2	NUM
easat-2338	96	9	32	32	NUM
easat-2338	96	10	neurons	neuron	NOUN
easat-2338	96	11	layer	layer	NOUN
easat-2338	96	12	3	3	NUM
easat-2338	96	13	units	unit	NOUN
easat-2338	96	14	neurons	neuron	NOUN
easat-2338	96	15	(	(	PUNCT
easat-2338	96	16	16	16	NUM
easat-2338	96	17	or	or	CCONJ
easat-2338	96	18	32	32	NUM
easat-2338	96	19	based	base	VERB
easat-2338	96	20	on	on	ADP
easat-2338	96	21	hyperparameter	hyperparameter	NOUN
easat-2338	96	22	search	search	NOUN
easat-2338	96	23	)	)	PUNCT
easat-2338	96	24	activation	activation	NOUN
easat-2338	96	25	=	=	NOUN
easat-2338	96	26	activation	activation	NOUN
easat-2338	96	27	layer	layer	NOUN
easat-2338	96	28	4	4	NUM
easat-2338	96	29	1	1	NUM
easat-2338	96	30	neuron	neuron	NOUN
easat-2338	96	31	activation	activation	NOUN
easat-2338	96	32	=	=	NOUN
easat-2338	96	33	sigmoid	sigmoid	NOUN
easat-2338	96	34	to	to	PART
easat-2338	96	35	avoid	avoid	VERB
easat-2338	96	36	overfitting	overfitte	VERB
easat-2338	96	37	and	and	CCONJ
easat-2338	96	38	enhance	enhance	VERB
easat-2338	96	39	the	the	DET
easat-2338	96	40	predictive	predictive	ADJ
easat-2338	96	41	accuracy	accuracy	NOUN
easat-2338	96	42	of	of	ADP
easat-2338	96	43	our	our	PRON
easat-2338	96	44	model	model	NOUN
easat-2338	96	45	,	,	PUNCT
easat-2338	96	46	we	we	PRON
easat-2338	96	47	implemented	implement	VERB
easat-2338	96	48	crossvalidation	crossvalidation	NOUN
easat-2338	96	49	and	and	CCONJ
easat-2338	96	50	hyperparameter	hyperparameter	NOUN
easat-2338	96	51	tuning	tune	VERB
easat-2338	96	52	in	in	ADP
easat-2338	96	53	our	our	PRON
easat-2338	96	54	methodology	methodology	NOUN
easat-2338	96	55	.	.	PUNCT
easat-2338	97	1	we	we	PRON
easat-2338	97	2	employed	employ	VERB
easat-2338	97	3	the	the	DET
easat-2338	97	4	gridsearchcv	gridsearchcv	NOUN
easat-2338	97	5	module	module	NOUN
easat-2338	97	6	[	[	X
easat-2338	97	7	35	35	NUM
easat-2338	97	8	]	]	PUNCT
easat-2338	97	9	to	to	PART
easat-2338	97	10	determine	determine	VERB
easat-2338	97	11	the	the	DET
easat-2338	97	12	optimal	optimal	ADJ
easat-2338	97	13	parameters	parameter	NOUN
easat-2338	97	14	for	for	ADP
easat-2338	97	15	our	our	PRON
easat-2338	97	16	model	model	NOUN
easat-2338	97	17	,	,	PUNCT
easat-2338	97	18	as	as	SCONJ
easat-2338	97	19	illustrated	illustrate	VERB
easat-2338	97	20	in	in	ADP
easat-2338	97	21	figure	figure	NOUN
easat-2338	97	22	3	3	NUM
easat-2338	97	23	and	and	CCONJ
easat-2338	97	24	the	the	DET
easat-2338	97	25	prediction	prediction	NOUN
easat-2338	97	26	performance	performance	NOUN
easat-2338	97	27	of	of	ADP
easat-2338	97	28	the	the	DET
easat-2338	97	29	optimal	optimal	ADJ
easat-2338	97	30	model	model	NOUN
easat-2338	97	31	(	(	PUNCT
easat-2338	97	32	the	the	DET
easat-2338	97	33	accuracy	accuracy	NOUN
easat-2338	97	34	)	)	PUNCT
easat-2338	97	35	of	of	ADP
easat-2338	97	36	is	be	AUX
easat-2338	97	37	equal	equal	ADJ
easat-2338	97	38	to	to	ADP
easat-2338	97	39	0.98	0.98	NUM
easat-2338	97	40	.	.	PUNCT
easat-2338	98	1	the	the	DET
easat-2338	98	2	objective	objective	NOUN
easat-2338	98	3	of	of	ADP
easat-2338	98	4	our	our	PRON
easat-2338	98	5	model	model	NOUN
easat-2338	98	6	’s	’s	PART
easat-2338	98	7	training	training	NOUN
easat-2338	98	8	is	be	AUX
easat-2338	98	9	to	to	PART
easat-2338	98	10	derive	derive	VERB
easat-2338	98	11	the	the	DET
easat-2338	98	12	shapley	shapley	ADJ
easat-2338	98	13	additive	additive	ADJ
easat-2338	98	14	explanations	explanation	NOUN
easat-2338	98	15	(	(	PUNCT
easat-2338	98	16	shap	shap	NOUN
easat-2338	98	17	)	)	PUNCT
easat-2338	98	18	values	value	NOUN
easat-2338	98	19	,	,	PUNCT
easat-2338	98	20	which	which	PRON
easat-2338	98	21	assess	assess	VERB
easat-2338	98	22	the	the	DET
easat-2338	98	23	influence	influence	NOUN
easat-2338	98	24	of	of	ADP
easat-2338	98	25	each	each	DET
easat-2338	98	26	feature	feature	NOUN
easat-2338	98	27	on	on	ADP
easat-2338	98	28	the	the	DET
easat-2338	98	29	model	model	NOUN
easat-2338	98	30	’s	’s	PART
easat-2338	98	31	prediction	prediction	NOUN
easat-2338	98	32	for	for	ADP
easat-2338	98	33	a	a	DET
easat-2338	98	34	given	give	VERB
easat-2338	98	35	instance	instance	NOUN
easat-2338	98	36	.	.	PUNCT
easat-2338	99	1	they	they	PRON
easat-2338	99	2	rely	rely	VERB
easat-2338	99	3	on	on	ADP
easat-2338	99	4	a	a	DET
easat-2338	99	5	game	game	NOUN
easat-2338	99	6	-	-	PUNCT
easat-2338	99	7	theoretic	theoretic	NOUN
easat-2338	99	8	approach	approach	NOUN
easat-2338	99	9	that	that	PRON
easat-2338	99	10	assigns	assign	VERB
easat-2338	99	11	each	each	DET
easat-2338	99	12	feature	feature	NOUN
easat-2338	99	13	a	a	DET
easat-2338	99	14	fair	fair	ADJ
easat-2338	99	15	and	and	CCONJ
easat-2338	99	16	consistent	consistent	ADJ
easat-2338	99	17	importance	importance	NOUN
easat-2338	99	18	score	score	NOUN
easat-2338	99	19	,	,	PUNCT
easat-2338	99	20	considering	consider	VERB
easat-2338	99	21	the	the	DET
easat-2338	99	22	feature	feature	NOUN
easat-2338	99	23	interactions	interaction	NOUN
easat-2338	99	24	.	.	PUNCT
easat-2338	100	1	the	the	DET
easat-2338	100	2	strength	strength	NOUN
easat-2338	100	3	or	or	CCONJ
easat-2338	100	4	intensity	intensity	NOUN
easat-2338	100	5	of	of	ADP
easat-2338	100	6	the	the	DET
easat-2338	100	7	shap	shap	PROPN
easat-2338	100	8	value	value	NOUN
easat-2338	100	9	indicates	indicate	VERB
easat-2338	100	10	the	the	DET
easat-2338	100	11	effect	effect	NOUN
easat-2338	100	12	.	.	PUNCT
easat-2338	101	1	shap	shap	PROPN
easat-2338	101	2	values	value	NOUN
easat-2338	101	3	are	be	AUX
easat-2338	101	4	model	model	ADJ
easat-2338	101	5	-	-	ADJ
easat-2338	101	6	agnostic	agnostic	ADJ
easat-2338	101	7	,	,	PUNCT
easat-2338	101	8	they	they	PRON
easat-2338	101	9	can	can	AUX
easat-2338	101	10	provide	provide	VERB
easat-2338	101	11	interpretable	interpretable	ADJ
easat-2338	101	12	explanations	explanation	NOUN
easat-2338	101	13	for	for	ADP
easat-2338	101	14	any	any	DET
easat-2338	101	15	machine	machine	NOUN
easat-2338	101	16	learning	learn	VERB
easat-2338	101	17	model	model	NOUN
easat-2338	101	18	,	,	PUNCT
easat-2338	101	19	including	include	VERB
easat-2338	101	20	decision	decision	NOUN
easat-2338	101	21	trees	tree	NOUN
easat-2338	101	22	,	,	PUNCT
easat-2338	101	23	random	random	ADJ
easat-2338	101	24	forests	forest	NOUN
easat-2338	101	25	,	,	PUNCT
easat-2338	101	26	linear	linear	ADJ
easat-2338	101	27	regression	regression	NOUN
easat-2338	101	28	,	,	PUNCT
easat-2338	101	29	and	and	CCONJ
easat-2338	101	30	neural	neural	ADJ
easat-2338	101	31	networks	network	NOUN
easat-2338	101	32	[	[	X
easat-2338	101	33	36	36	NUM
easat-2338	101	34	]	]	PUNCT
easat-2338	101	35	.	.	PUNCT
easat-2338	102	1	these	these	DET
easat-2338	102	2	shap	shap	PROPN
easat-2338	102	3	values	value	NOUN
easat-2338	102	4	are	be	AUX
easat-2338	102	5	the	the	DET
easat-2338	102	6	new	new	ADJ
easat-2338	102	7	weights	weight	NOUN
easat-2338	102	8	,	,	PUNCT
easat-2338	102	9	as	as	SCONJ
easat-2338	102	10	shown	show	VERB
easat-2338	102	11	in	in	ADP
easat-2338	102	12	figure	figure	NOUN
easat-2338	102	13	1	1	NUM
easat-2338	102	14	.	.	NOUN
easat-2338	102	15	2.3	2.3	NUM
easat-2338	102	16	.	.	PUNCT
easat-2338	103	1	methods	method	NOUN
easat-2338	103	2	to	to	PART
easat-2338	103	3	generate	generate	VERB
easat-2338	103	4	prs	prs	NOUN
easat-2338	103	5	2.3.1	2.3.1	NUM
easat-2338	103	6	.	.	PUNCT
easat-2338	104	1	the	the	DET
easat-2338	104	2	traditional	traditional	ADJ
easat-2338	104	3	method	method	NOUN
easat-2338	104	4	1763	1763	NUM
easat-2338	104	5	edelweiss	edelweiss	PROPN
easat-2338	104	6	applied	apply	VERB
easat-2338	104	7	science	science	NOUN
easat-2338	104	8	and	and	CCONJ
easat-2338	104	9	technology	technology	NOUN
easat-2338	104	10	issn	issn	PROPN
easat-2338	104	11	:	:	PUNCT
easat-2338	104	12	2576	2576	NUM
easat-2338	104	13	-	-	SYM
easat-2338	104	14	8484	8484	NUM
easat-2338	104	15	vol	vol	NOUN
easat-2338	104	16	.	.	PROPN
easat-2338	105	1	8	8	NUM
easat-2338	105	2	,	,	PUNCT
easat-2338	105	3	no	no	INTJ
easat-2338	105	4	.	.	NOUN
easat-2338	106	1	6	6	NUM
easat-2338	106	2	:	:	SYM
easat-2338	106	3	1758	1758	NUM
easat-2338	106	4	-	-	SYM
easat-2338	106	5	1773	1773	NUM
easat-2338	106	6	,	,	PUNCT
easat-2338	106	7	2024	2024	NUM
easat-2338	106	8	doi	doi	NOUN
easat-2338	106	9	:	:	PUNCT
easat-2338	106	10	10.55214/25768484.v8i6.2338	10.55214/25768484.v8i6.2338	NUM
easat-2338	106	11	©	©	PROPN
easat-2338	106	12	2024	2024	NUM
easat-2338	106	13	by	by	ADP
easat-2338	106	14	the	the	DET
easat-2338	106	15	authors	author	NOUN
easat-2338	106	16	;	;	PUNCT
easat-2338	106	17	licensee	licensee	PROPN
easat-2338	106	18	learning	learning	NOUN
easat-2338	106	19	gate	gate	VERB
easat-2338	106	20	the	the	DET
easat-2338	106	21	basic	basic	ADJ
easat-2338	106	22	stepwise	stepwise	NOUN
easat-2338	106	23	process	process	NOUN
easat-2338	106	24	for	for	ADP
easat-2338	106	25	calculating	calculate	VERB
easat-2338	106	26	prs	prs	NOUN
easat-2338	106	27	adds	add	VERB
easat-2338	106	28	up	up	ADP
easat-2338	106	29	the	the	DET
easat-2338	106	30	effects	effect	NOUN
easat-2338	106	31	of	of	ADP
easat-2338	106	32	many	many	ADJ
easat-2338	106	33	small	small	ADJ
easat-2338	106	34	genetic	genetic	ADJ
easat-2338	106	35	variations	variation	NOUN
easat-2338	106	36	that	that	PRON
easat-2338	106	37	are	be	AUX
easat-2338	106	38	linked	link	VERB
easat-2338	106	39	to	to	ADP
easat-2338	106	40	the	the	DET
easat-2338	106	41	trait	trait	NOUN
easat-2338	106	42	or	or	CCONJ
easat-2338	106	43	disease	disease	NOUN
easat-2338	106	44	[	[	X
easat-2338	106	45	37	37	NUM
easat-2338	106	46	]	]	PUNCT
easat-2338	106	47	.	.	PUNCT
easat-2338	107	1	each	each	DET
easat-2338	107	2	variation	variation	NOUN
easat-2338	107	3	has	have	VERB
easat-2338	107	4	a	a	DET
easat-2338	107	5	weight	weight	NOUN
easat-2338	107	6	that	that	PRON
easat-2338	107	7	shows	show	VERB
easat-2338	107	8	how	how	SCONJ
easat-2338	107	9	much	much	ADJ
easat-2338	107	10	it	it	PRON
easat-2338	107	11	influences	influence	VERB
easat-2338	107	12	the	the	DET
easat-2338	107	13	trait	trait	NOUN
easat-2338	107	14	or	or	CCONJ
easat-2338	107	15	disease	disease	NOUN
easat-2338	107	16	.	.	PUNCT
easat-2338	108	1	the	the	DET
easat-2338	108	2	formula	formula	NOUN
easat-2338	108	3	to	to	PART
easat-2338	108	4	calculate	calculate	VERB
easat-2338	108	5	the	the	DET
easat-2338	108	6	prs	prs	NOUN
easat-2338	108	7	for	for	ADP
easat-2338	108	8	an	an	DET
easat-2338	108	9	individual	individual	NOUN
easat-2338	108	10	is	be	AUX
easat-2338	108	11	:	:	PUNCT
easat-2338	108	12	where	where	SCONJ
easat-2338	108	13	n	n	PRON
easat-2338	108	14	represents	represent	VERB
easat-2338	108	15	the	the	DET
easat-2338	108	16	count	count	NOUN
easat-2338	108	17	of	of	ADP
easat-2338	108	18	snps	snps	PROPN
easat-2338	108	19	in	in	ADP
easat-2338	108	20	the	the	DET
easat-2338	108	21	score	score	NOUN
easat-2338	108	22	,	,	PUNCT
easat-2338	108	23	βi	βi	PROPN
easat-2338	108	24	is	be	AUX
easat-2338	108	25	the	the	DET
easat-2338	108	26	effect	effect	NOUN
easat-2338	108	27	size	size	NOUN
easat-2338	108	28	(	(	PUNCT
easat-2338	108	29	or	or	CCONJ
easat-2338	108	30	beta	beta	NOUN
easat-2338	108	31	)	)	PUNCT
easat-2338	108	32	of	of	ADP
easat-2338	108	33	variant	variant	NOUN
easat-2338	108	34	i	i	PRON
easat-2338	108	35	and	and	CCONJ
easat-2338	108	36	dosage	dosage	NOUN
easat-2338	108	37	refers	refer	VERB
easat-2338	108	38	to	to	ADP
easat-2338	108	39	the	the	DET
easat-2338	108	40	number	number	NOUN
easat-2338	108	41	of	of	ADP
easat-2338	108	42	copies	copy	NOUN
easat-2338	108	43	of	of	ADP
easat-2338	108	44	snpi	snpi	PROPN
easat-2338	108	45	present	present	ADJ
easat-2338	108	46	in	in	ADP
easat-2338	108	47	the	the	DET
easat-2338	108	48	genotype	genotype	NOUN
easat-2338	108	49	of	of	ADP
easat-2338	108	50	individual	individual	ADJ
easat-2338	108	51	j	j	PROPN
easat-2338	109	1	[	[	X
easat-2338	109	2	37	37	NUM
easat-2338	109	3	]	]	SYM
easat-2338	109	4	.	.	PUNCT
easat-2338	110	1	2.3.2	2.3.2	NUM
easat-2338	110	2	.	.	X
easat-2338	110	3	polygenic	polygenic	ADJ
easat-2338	110	4	risk	risk	NOUN
easat-2338	110	5	score	score	NOUN
easat-2338	110	6	neural	neural	ADJ
easat-2338	110	7	network	network	NOUN
easat-2338	110	8	(	(	PUNCT
easat-2338	110	9	prsnn	prsnn	NOUN
easat-2338	110	10	)	)	PUNCT
easat-2338	110	11	some	some	DET
easat-2338	110	12	studies	study	NOUN
easat-2338	110	13	have	have	AUX
easat-2338	110	14	used	use	VERB
easat-2338	110	15	machine	machine	NOUN
easat-2338	110	16	learning	learn	VERB
easat-2338	110	17	to	to	PART
easat-2338	110	18	generate	generate	VERB
easat-2338	110	19	prs	prs	NOUN
easat-2338	110	20	,	,	PUNCT
easat-2338	110	21	such	such	ADJ
easat-2338	110	22	as	as	ADP
easat-2338	110	23	the	the	DET
easat-2338	110	24	one	one	NUM
easat-2338	110	25	by	by	ADP
easat-2338	110	26	[	[	X
easat-2338	110	27	38	38	NUM
easat-2338	110	28	]	]	PUNCT
easat-2338	110	29	,	,	PUNCT
easat-2338	110	30	which	which	PRON
easat-2338	110	31	also	also	ADV
easat-2338	110	32	employed	employ	VERB
easat-2338	110	33	weight	weight	NOUN
easat-2338	110	34	vectors	vector	NOUN
easat-2338	110	35	for	for	ADP
easat-2338	110	36	a	a	DET
easat-2338	110	37	new	new	ADJ
easat-2338	110	38	prs	prs	NOUN
easat-2338	110	39	prediction	prediction	NOUN
easat-2338	110	40	method	method	NOUN
easat-2338	110	41	.	.	PUNCT
easat-2338	111	1	however	however	ADV
easat-2338	111	2	,	,	PUNCT
easat-2338	111	3	we	we	PRON
easat-2338	111	4	added	add	VERB
easat-2338	111	5	more	more	ADJ
easat-2338	111	6	steps	step	NOUN
easat-2338	111	7	,	,	PUNCT
easat-2338	111	8	such	such	ADJ
easat-2338	111	9	as	as	ADP
easat-2338	111	10	the	the	DET
easat-2338	111	11	feature	feature	NOUN
easat-2338	111	12	selection	selection	NOUN
easat-2338	111	13	and	and	CCONJ
easat-2338	111	14	modified	modify	VERB
easat-2338	111	15	the	the	DET
easat-2338	111	16	weight	weight	NOUN
easat-2338	111	17	vectors	vector	NOUN
easat-2338	111	18	obtained	obtain	VERB
easat-2338	111	19	by	by	ADP
easat-2338	111	20	the	the	DET
easat-2338	111	21	neural	neural	ADJ
easat-2338	111	22	network	network	NOUN
easat-2338	111	23	.	.	PUNCT
easat-2338	112	1	specifically	specifically	ADV
easat-2338	112	2	,	,	PUNCT
easat-2338	112	3	nnw	nnw	PROPN
easat-2338	112	4	represents	represent	VERB
easat-2338	112	5	the	the	DET
easat-2338	112	6	weight	weight	NOUN
easat-2338	112	7	vector	vector	NOUN
easat-2338	112	8	derived	derive	VERB
easat-2338	112	9	from	from	ADP
easat-2338	112	10	the	the	DET
easat-2338	112	11	nn	nn	PROPN
easat-2338	112	12	model	model	NOUN
easat-2338	112	13	,	,	PUNCT
easat-2338	112	14	as	as	SCONJ
easat-2338	112	15	explained	explain	VERB
easat-2338	112	16	in	in	ADP
easat-2338	112	17	the	the	DET
easat-2338	112	18	previous	previous	ADJ
easat-2338	112	19	section	section	NOUN
easat-2338	112	20	.	.	PUNCT
easat-2338	113	1	this	this	DET
easat-2338	113	2	process	process	NOUN
easat-2338	113	3	yields	yield	VERB
easat-2338	113	4	individual	individual	ADJ
easat-2338	113	5	risk	risk	NOUN
easat-2338	113	6	scores	score	NOUN
easat-2338	113	7	for	for	ADP
easat-2338	113	8	each	each	DET
easat-2338	113	9	snp	snp	NOUN
easat-2338	113	10	.	.	PUNCT
easat-2338	114	1	the	the	DET
easat-2338	114	2	following	follow	VERB
easat-2338	114	3	formula	formula	NOUN
easat-2338	114	4	depicts	depict	VERB
easat-2338	114	5	this	this	DET
easat-2338	114	6	procedure	procedure	NOUN
easat-2338	114	7	:	:	PUNCT
easat-2338	114	8	(	(	PUNCT
easat-2338	114	9	1	1	X
easat-2338	114	10	)	)	PUNCT
easat-2338	114	11	where	where	SCONJ
easat-2338	114	12	the	the	DET
easat-2338	114	13	variable	variable	ADJ
easat-2338	114	14	’	'	PUNCT
easat-2338	114	15	n	n	CCONJ
easat-2338	114	16	’	'	PUNCT
easat-2338	114	17	signifies	signify	VERB
easat-2338	114	18	the	the	DET
easat-2338	114	19	overlap	overlap	NOUN
easat-2338	114	20	between	between	ADP
easat-2338	114	21	the	the	DET
easat-2338	114	22	snp	snp	ADJ
easat-2338	114	23	sets	set	NOUN
easat-2338	114	24	of	of	ADP
easat-2338	114	25	the	the	DET
easat-2338	114	26	individual	individual	ADJ
easat-2338	114	27	genotype	genotype	NOUN
easat-2338	114	28	and	and	CCONJ
easat-2338	114	29	the	the	DET
easat-2338	114	30	pgc	pgc	PROPN
easat-2338	114	31	dataset	dataset	NOUN
easat-2338	114	32	.	.	PUNCT
easat-2338	115	1	nnw	nnw	PROPN
easat-2338	115	2	vectors	vector	NOUN
easat-2338	115	3	represent	represent	VERB
easat-2338	115	4	the	the	DET
easat-2338	115	5	weight	weight	NOUN
easat-2338	115	6	vectors	vector	NOUN
easat-2338	115	7	that	that	PRON
easat-2338	115	8	assess	assess	VERB
easat-2338	115	9	the	the	DET
easat-2338	115	10	importance	importance	NOUN
easat-2338	115	11	of	of	ADP
easat-2338	115	12	each	each	DET
easat-2338	115	13	snp	snp	NOUN
easat-2338	115	14	.	.	PUNCT
easat-2338	116	1	the	the	DET
easat-2338	116	2	dosage	dosage	NOUN
easat-2338	116	3	calculation	calculation	NOUN
easat-2338	116	4	relies	rely	VERB
easat-2338	116	5	on	on	ADP
easat-2338	116	6	the	the	DET
easat-2338	116	7	minor	minor	ADJ
easat-2338	116	8	allele	allele	NOUN
easat-2338	116	9	of	of	ADP
easat-2338	116	10	snp	snp	PROPN
easat-2338	116	11	j	j	PROPN
easat-2338	116	12	in	in	ADP
easat-2338	116	13	the	the	DET
easat-2338	116	14	pgc	pgc	PROPN
easat-2338	116	15	data	data	PROPN
easat-2338	116	16	summary	summary	NOUN
easat-2338	116	17	statistics	statistic	NOUN
easat-2338	116	18	.	.	PUNCT
easat-2338	117	1	2.4	2.4	NUM
easat-2338	117	2	.	.	PUNCT
easat-2338	117	3	performances	performance	NOUN
easat-2338	117	4	we	we	PRON
easat-2338	117	5	used	use	VERB
easat-2338	117	6	logistic	logistic	ADJ
easat-2338	117	7	regression	regression	NOUN
easat-2338	117	8	with	with	ADP
easat-2338	117	9	the	the	DET
easat-2338	117	10	prs	prs	NOUN
easat-2338	117	11	values	value	NOUN
easat-2338	117	12	obtained	obtain	VERB
easat-2338	117	13	from	from	ADP
easat-2338	117	14	the	the	DET
easat-2338	117	15	traditional	traditional	ADJ
easat-2338	117	16	and	and	CCONJ
easat-2338	117	17	prsnn	prsnn	NOUN
easat-2338	117	18	methods	method	NOUN
easat-2338	117	19	to	to	PART
easat-2338	117	20	evaluate	evaluate	VERB
easat-2338	117	21	their	their	PRON
easat-2338	117	22	performance	performance	NOUN
easat-2338	117	23	in	in	ADP
easat-2338	117	24	disease	disease	NOUN
easat-2338	117	25	prediction	prediction	NOUN
easat-2338	117	26	.	.	PUNCT
easat-2338	118	1	we	we	PRON
easat-2338	118	2	measured	measure	VERB
easat-2338	118	3	the	the	DET
easat-2338	118	4	logistic	logistic	ADJ
easat-2338	118	5	regression	regression	NOUN
easat-2338	118	6	model	model	NOUN
easat-2338	118	7	using	use	VERB
easat-2338	118	8	the	the	DET
easat-2338	118	9	accuracy	accuracy	NOUN
easat-2338	118	10	,	,	PUNCT
easat-2338	118	11	recall	recall	NOUN
easat-2338	118	12	,	,	PUNCT
easat-2338	118	13	precision	precision	NOUN
easat-2338	118	14	,	,	PUNCT
easat-2338	118	15	and	and	CCONJ
easat-2338	118	16	f1	f1	NOUN
easat-2338	118	17	score	score	NOUN
easat-2338	118	18	metrics	metric	NOUN
easat-2338	118	19	.	.	PUNCT
easat-2338	119	1	table	table	NOUN
easat-2338	119	2	4	4	NUM
easat-2338	119	3	displays	display	VERB
easat-2338	119	4	the	the	DET
easat-2338	119	5	performances	performance	NOUN
easat-2338	119	6	.	.	PUNCT
easat-2338	120	1	table	table	NOUN
easat-2338	120	2	4	4	NUM
easat-2338	120	3	.	.	PUNCT
easat-2338	120	4	comparing	compare	VERB
easat-2338	120	5	traditional	traditional	ADJ
easat-2338	120	6	and	and	CCONJ
easat-2338	120	7	prsnn	prsnn	NOUN
easat-2338	120	8	method	method	NOUN
easat-2338	120	9	performances	performance	NOUN
easat-2338	120	10	in	in	ADP
easat-2338	120	11	disease	disease	NOUN
easat-2338	120	12	prediction	prediction	NOUN
easat-2338	120	13	.	.	PUNCT
easat-2338	121	1	disease	disease	NOUN
easat-2338	121	2	traditional	traditional	ADJ
easat-2338	121	3	method	method	NOUN
easat-2338	121	4	prsnn	prsnn	NOUN
easat-2338	121	5	method	method	NOUN
easat-2338	121	6	accuracy	accuracy	NOUN
easat-2338	121	7	precision	precision	NOUN
easat-2338	121	8	recall	recall	NOUN
easat-2338	121	9	f	f	PROPN
easat-2338	121	10	score	score	NOUN
easat-2338	121	11	accuracy	accuracy	NOUN
easat-2338	121	12	precision	precision	NOUN
easat-2338	121	13	recall	recall	NOUN
easat-2338	121	14	f	f	PROPN
easat-2338	121	15	score	score	NOUN
easat-2338	121	16	depression	depression	NOUN
easat-2338	121	17	0.8	0.8	NUM
easat-2338	121	18	0.82	0.82	NUM
easat-2338	121	19	0.97	0.97	NUM
easat-2338	121	20	0.89	0.89	NUM
easat-2338	121	21	0.96	0.96	NUM
easat-2338	121	22	0.97	0.97	NUM
easat-2338	121	23	0.97	0.97	NUM
easat-2338	121	24	0.97	0.97	NUM
easat-2338	121	25	panic	panic	NOUN
easat-2338	121	26	disorder	disorder	NOUN
easat-2338	121	27	0.85	0.85	NUM
easat-2338	121	28	0.89	0.89	NUM
easat-2338	121	29	0.8	0.8	NUM
easat-2338	121	30	0.84	0.84	NUM
easat-2338	121	31	0.95	0.95	NUM
easat-2338	121	32	1	1	NUM
easat-2338	121	33	0.89	0.89	NUM
easat-2338	121	34	0.94	0.94	NUM
easat-2338	121	35	bipolar	bipolar	ADJ
easat-2338	121	36	0.88	0.88	NUM
easat-2338	121	37	0.85	0.85	NUM
easat-2338	121	38	1	1	NUM
easat-2338	121	39	0,92	0,92	NUM
easat-2338	121	40	0.95	0.95	NUM
easat-2338	121	41	0.96	0.96	NUM
easat-2338	121	42	0.96	0.96	NUM
easat-2338	121	43	0.96	0.96	NUM
easat-2338	121	44	2.5	2.5	NUM
easat-2338	121	45	.	.	PUNCT
easat-2338	122	1	logistic	logistic	ADJ
easat-2338	122	2	regression	regression	NOUN
easat-2338	122	3	we	we	PRON
easat-2338	122	4	applied	apply	VERB
easat-2338	122	5	logistic	logistic	ADJ
easat-2338	122	6	regression	regression	NOUN
easat-2338	122	7	,	,	PUNCT
easat-2338	122	8	a	a	DET
easat-2338	122	9	machine	machine	NOUN
easat-2338	122	10	learning	learning	NOUN
easat-2338	122	11	technique	technique	NOUN
easat-2338	122	12	that	that	PRON
easat-2338	122	13	can	can	AUX
easat-2338	122	14	estimate	estimate	VERB
easat-2338	122	15	the	the	DET
easat-2338	122	16	probability	probability	NOUN
easat-2338	122	17	of	of	ADP
easat-2338	122	18	an	an	DET
easat-2338	122	19	outcome	outcome	NOUN
easat-2338	122	20	(	(	PUNCT
easat-2338	122	21	e.g.	e.g.	ADV
easat-2338	122	22	,	,	PUNCT
easat-2338	122	23	disease	disease	NOUN
easat-2338	122	24	status	status	NOUN
easat-2338	122	25	)	)	PUNCT
easat-2338	122	26	from	from	ADP
easat-2338	122	27	one	one	NUM
easat-2338	122	28	or	or	CCONJ
easat-2338	122	29	more	more	ADJ
easat-2338	122	30	predictors	predictor	NOUN
easat-2338	122	31	(	(	PUNCT
easat-2338	122	32	e.g.	e.g.	ADV
easat-2338	122	33	,	,	PUNCT
easat-2338	122	34	prs	prs	NOUN
easat-2338	122	35	)	)	PUNCT
easat-2338	122	36	,	,	PUNCT
easat-2338	122	37	to	to	PART
easat-2338	122	38	predict	predict	VERB
easat-2338	122	39	the	the	DET
easat-2338	122	40	risk	risk	NOUN
easat-2338	122	41	of	of	ADP
easat-2338	122	42	a	a	DET
easat-2338	122	43	certain	certain	ADJ
easat-2338	122	44	disease	disease	NOUN
easat-2338	122	45	from	from	ADP
easat-2338	122	46	genetic	genetic	ADJ
easat-2338	122	47	data	datum	NOUN
easat-2338	122	48	.	.	PUNCT
easat-2338	123	1	we	we	PRON
easat-2338	123	2	used	use	VERB
easat-2338	123	3	prs	prs	NOUN
easat-2338	123	4	as	as	ADP
easat-2338	123	5	the	the	DET
easat-2338	123	6	sole	sole	ADJ
easat-2338	123	7	predictor	predictor	NOUN
easat-2338	123	8	.	.	PUNCT
easat-2338	124	1	we	we	PRON
easat-2338	124	2	trained	train	VERB
easat-2338	124	3	the	the	DET
easat-2338	124	4	logistic	logistic	ADJ
easat-2338	124	5	regression	regression	NOUN
easat-2338	124	6	model	model	NOUN
easat-2338	124	7	on	on	ADP
easat-2338	124	8	a	a	DET
easat-2338	124	9	dataset	dataset	NOUN
easat-2338	124	10	with	with	ADP
easat-2338	124	11	two	two	NUM
easat-2338	124	12	columns	column	NOUN
easat-2338	124	13	:	:	PUNCT
easat-2338	124	14	prs	prs	NOUN
easat-2338	124	15	,	,	PUNCT
easat-2338	124	16	the	the	DET
easat-2338	124	17	prs	prs	NOUN
easat-2338	124	18	values	value	NOUN
easat-2338	124	19	for	for	ADP
easat-2338	124	20	each	each	DET
easat-2338	124	21	individual	individual	NOUN
easat-2338	124	22	,	,	PUNCT
easat-2338	124	23	and	and	CCONJ
easat-2338	124	24	status	status	NOUN
easat-2338	124	25	,	,	PUNCT
easat-2338	124	26	a	a	DET
easat-2338	124	27	binary	binary	ADJ
easat-2338	124	28	variable	variable	NOUN
easat-2338	124	29	indicating	indicate	VERB
easat-2338	124	30	whether	whether	SCONJ
easat-2338	124	31	the	the	DET
easat-2338	124	32	individual	individual	NOUN
easat-2338	124	33	had	have	VERB
easat-2338	124	34	the	the	DET
easat-2338	124	35	disease	disease	NOUN
easat-2338	124	36	or	or	CCONJ
easat-2338	124	37	not	not	PART
easat-2338	124	38	.	.	PUNCT
easat-2338	125	1	the	the	DET
easat-2338	125	2	model	model	NOUN
easat-2338	125	3	returned	return	VERB
easat-2338	125	4	a	a	DET
easat-2338	125	5	coefficient	coefficient	NOUN
easat-2338	125	6	for	for	ADP
easat-2338	125	7	the	the	DET
easat-2338	125	8	prs	prs	NOUN
easat-2338	125	9	predictor	predictor	NOUN
easat-2338	125	10	that	that	PRON
easat-2338	125	11	reflected	reflect	VERB
easat-2338	125	12	the	the	DET
easat-2338	125	13	magnitude	magnitude	NOUN
easat-2338	125	14	and	and	CCONJ
easat-2338	125	15	direction	direction	NOUN
easat-2338	125	16	of	of	ADP
easat-2338	125	17	its	its	PRON
easat-2338	125	18	association	association	NOUN
easat-2338	125	19	with	with	ADP
easat-2338	125	20	the	the	DET
easat-2338	125	21	disease	disease	NOUN
easat-2338	125	22	outcome	outcome	NOUN
easat-2338	125	23	.	.	PUNCT
easat-2338	126	1	a	a	DET
easat-2338	126	2	positive	positive	ADJ
easat-2338	126	3	coefficient	coefficient	NOUN
easat-2338	126	4	indicated	indicate	VERB
easat-2338	126	5	that	that	SCONJ
easat-2338	126	6	a	a	DET
easat-2338	126	7	higher	high	ADJ
easat-2338	126	8	prs	prs	NOUN
easat-2338	126	9	increased	increase	VERB
easat-2338	126	10	the	the	DET
easat-2338	126	11	likelihood	likelihood	NOUN
easat-2338	126	12	of	of	ADP
easat-2338	126	13	having	have	VERB
easat-2338	126	14	the	the	DET
easat-2338	126	15	disease	disease	NOUN
easat-2338	126	16	,	,	PUNCT
easat-2338	126	17	while	while	SCONJ
easat-2338	126	18	a	a	DET
easat-2338	126	19	negative	negative	ADJ
easat-2338	126	20	coefficient	coefficient	NOUN
easat-2338	126	21	indicated	indicate	VERB
easat-2338	126	22	the	the	DET
easat-2338	126	23	opposite	opposite	NOUN
easat-2338	126	24	.	.	PUNCT
easat-2338	127	1	we	we	PRON
easat-2338	127	2	validated	validate	VERB
easat-2338	127	3	the	the	DET
easat-2338	127	4	model	model	NOUN
easat-2338	127	5	on	on	ADP
easat-2338	127	6	a	a	DET
easat-2338	127	7	new	new	ADJ
easat-2338	127	8	set	set	NOUN
easat-2338	127	9	of	of	ADP
easat-2338	127	10	individuals	individual	NOUN
easat-2338	127	11	with	with	ADP
easat-2338	127	12	prs	prs	NOUN
easat-2338	127	13	values	value	NOUN
easat-2338	127	14	and	and	CCONJ
easat-2338	127	15	used	use	VERB
easat-2338	127	16	it	it	PRON
easat-2338	127	17	to	to	PART
easat-2338	127	18	predict	predict	VERB
easat-2338	127	19	their	their	PRON
easat-2338	127	20	disease	disease	NOUN
easat-2338	127	21	status	status	NOUN
easat-2338	127	22	.	.	PUNCT
easat-2338	128	1	figures	figure	NOUN
easat-2338	128	2	4	4	NUM
easat-2338	128	3	,	,	PUNCT
easat-2338	128	4	5	5	NUM
easat-2338	128	5	,	,	PUNCT
easat-2338	128	6	6	6	NUM
easat-2338	128	7	,	,	PUNCT
easat-2338	128	8	7	7	NUM
easat-2338	128	9	,	,	PUNCT
easat-2338	128	10	8	8	NUM
easat-2338	128	11	,	,	PUNCT
easat-2338	128	12	and	and	CCONJ
easat-2338	128	13	9	9	NUM
easat-2338	128	14	compare	compare	VERB
easat-2338	128	15	the	the	DET
easat-2338	128	16	actual	actual	ADJ
easat-2338	128	17	and	and	CCONJ
easat-2338	128	18	predicted	predict	VERB
easat-2338	128	19	disease	disease	NOUN
easat-2338	128	20	diagnoses	diagnose	VERB
easat-2338	128	21	for	for	ADP
easat-2338	128	22	23	23	NUM
easat-2338	128	23	samples	sample	NOUN
easat-2338	128	24	,	,	PUNCT
easat-2338	128	25	1764	1764	NUM
easat-2338	128	26	edelweiss	edelweiss	PROPN
easat-2338	128	27	applied	apply	VERB
easat-2338	128	28	science	science	NOUN
easat-2338	128	29	and	and	CCONJ
easat-2338	128	30	technology	technology	NOUN
easat-2338	128	31	issn	issn	PROPN
easat-2338	128	32	:	:	PUNCT
easat-2338	128	33	2576	2576	NUM
easat-2338	128	34	-	-	SYM
easat-2338	128	35	8484	8484	NUM
easat-2338	128	36	vol	vol	NOUN
easat-2338	128	37	.	.	PROPN
easat-2338	128	38	8	8	NUM
easat-2338	128	39	,	,	PUNCT
easat-2338	128	40	no	no	INTJ
easat-2338	128	41	.	.	NOUN
easat-2338	128	42	6	6	NUM
easat-2338	128	43	:	:	SYM
easat-2338	128	44	1758	1758	NUM
easat-2338	128	45	-	-	SYM
easat-2338	128	46	1773	1773	NUM
easat-2338	128	47	,	,	PUNCT
easat-2338	128	48	2024	2024	NUM
easat-2338	128	49	doi	doi	NOUN
easat-2338	128	50	:	:	PUNCT
easat-2338	128	51	10.55214/25768484.v8i6.2338	10.55214/25768484.v8i6.2338	NUM
easat-2338	128	52	©	©	PROPN
easat-2338	128	53	2024	2024	NUM
easat-2338	128	54	by	by	ADP
easat-2338	128	55	the	the	DET
easat-2338	128	56	authors	author	NOUN
easat-2338	128	57	;	;	PUNCT
easat-2338	128	58	licensee	licensee	PROPN
easat-2338	128	59	learning	learn	VERB
easat-2338	128	60	gate	gate	NOUN
easat-2338	128	61	using	use	VERB
easat-2338	128	62	both	both	CCONJ
easat-2338	128	63	the	the	DET
easat-2338	128	64	traditional	traditional	ADJ
easat-2338	128	65	method	method	NOUN
easat-2338	128	66	and	and	CCONJ
easat-2338	128	67	the	the	DET
easat-2338	128	68	prsnn	prsnn	NOUN
easat-2338	128	69	method	method	NOUN
easat-2338	128	70	.	.	PUNCT
easat-2338	129	1	figure	figure	NOUN
easat-2338	129	2	4	4	NUM
easat-2338	129	3	.	.	NOUN
easat-2338	129	4	comparison	comparison	NOUN
easat-2338	129	5	of	of	ADP
easat-2338	129	6	actual	actual	ADJ
easat-2338	129	7	and	and	CCONJ
easat-2338	129	8	predicted	predict	VERB
easat-2338	129	9	bipolar	bipolar	ADJ
easat-2338	129	10	diagnosis	diagnosis	NOUN
easat-2338	129	11	using	use	VERB
easat-2338	129	12	prsnn	prsnn	NOUN
easat-2338	129	13	method	method	NOUN
easat-2338	129	14	.	.	PUNCT
easat-2338	130	1	figure	figure	NOUN
easat-2338	130	2	5	5	NUM
easat-2338	130	3	.	.	PUNCT
easat-2338	130	4	comparison	comparison	NOUN
easat-2338	130	5	of	of	ADP
easat-2338	130	6	actual	actual	ADJ
easat-2338	130	7	and	and	CCONJ
easat-2338	130	8	predicted	predict	VERB
easat-2338	130	9	bipolar	bipolar	ADJ
easat-2338	130	10	diagnosis	diagnosis	NOUN
easat-2338	130	11	using	use	VERB
easat-2338	130	12	the	the	DET
easat-2338	130	13	traditional	traditional	ADJ
easat-2338	130	14	method	method	NOUN
easat-2338	130	15	.	.	PUNCT
easat-2338	131	1	1765	1765	NUM
easat-2338	131	2	edelweiss	edelweiss	PROPN
easat-2338	131	3	applied	apply	VERB
easat-2338	131	4	science	science	NOUN
easat-2338	131	5	and	and	CCONJ
easat-2338	131	6	technology	technology	NOUN
easat-2338	131	7	issn	issn	PROPN
easat-2338	131	8	:	:	PUNCT
easat-2338	131	9	2576	2576	NUM
easat-2338	131	10	-	-	SYM
easat-2338	131	11	8484	8484	NUM
easat-2338	131	12	vol	vol	NOUN
easat-2338	131	13	.	.	PROPN
easat-2338	131	14	8	8	NUM
easat-2338	131	15	,	,	PUNCT
easat-2338	131	16	no	no	INTJ
easat-2338	131	17	.	.	NOUN
easat-2338	132	1	6	6	NUM
easat-2338	132	2	:	:	SYM
easat-2338	132	3	1758	1758	NUM
easat-2338	132	4	-	-	SYM
easat-2338	132	5	1773	1773	NUM
easat-2338	132	6	,	,	PUNCT
easat-2338	132	7	2024	2024	NUM
easat-2338	132	8	doi	doi	NOUN
easat-2338	132	9	:	:	PUNCT
easat-2338	132	10	10.55214/25768484.v8i6.2338	10.55214/25768484.v8i6.2338	NUM
easat-2338	132	11	©	©	PROPN
easat-2338	132	12	2024	2024	NUM
easat-2338	132	13	by	by	ADP
easat-2338	132	14	the	the	DET
easat-2338	132	15	authors	author	NOUN
easat-2338	132	16	;	;	PUNCT
easat-2338	132	17	licensee	licensee	PROPN
easat-2338	132	18	learning	learn	VERB
easat-2338	132	19	gate	gate	PROPN
easat-2338	132	20	figure	figure	NOUN
easat-2338	132	21	6	6	NUM
easat-2338	132	22	.	.	PUNCT
easat-2338	132	23	comparison	comparison	NOUN
easat-2338	132	24	of	of	ADP
easat-2338	132	25	actual	actual	ADJ
easat-2338	132	26	and	and	CCONJ
easat-2338	132	27	predicted	predict	VERB
easat-2338	132	28	depression	depression	NOUN
easat-2338	132	29	diagnosis	diagnosis	NOUN
easat-2338	132	30	using	use	VERB
easat-2338	132	31	the	the	DET
easat-2338	132	32	traditional	traditional	ADJ
easat-2338	132	33	method	method	NOUN
easat-2338	132	34	.	.	PUNCT
easat-2338	133	1	figure	figure	NOUN
easat-2338	133	2	7	7	NUM
easat-2338	133	3	.	.	PUNCT
easat-2338	133	4	comparison	comparison	NOUN
easat-2338	133	5	of	of	ADP
easat-2338	133	6	actual	actual	ADJ
easat-2338	133	7	and	and	CCONJ
easat-2338	133	8	predicted	predict	VERB
easat-2338	133	9	depression	depression	NOUN
easat-2338	133	10	diagnosis	diagnosis	NOUN
easat-2338	133	11	using	use	VERB
easat-2338	133	12	prsnn	prsnn	NOUN
easat-2338	133	13	method	method	NOUN
easat-2338	133	14	.	.	PUNCT
easat-2338	134	1	1766	1766	NUM
easat-2338	134	2	edelweiss	edelweiss	PROPN
easat-2338	134	3	applied	apply	VERB
easat-2338	134	4	science	science	NOUN
easat-2338	134	5	and	and	CCONJ
easat-2338	134	6	technology	technology	NOUN
easat-2338	134	7	issn	issn	PROPN
easat-2338	134	8	:	:	PUNCT
easat-2338	134	9	2576	2576	NUM
easat-2338	134	10	-	-	SYM
easat-2338	134	11	8484	8484	NUM
easat-2338	134	12	vol	vol	NOUN
easat-2338	134	13	.	.	PROPN
easat-2338	134	14	8	8	NUM
easat-2338	134	15	,	,	PUNCT
easat-2338	134	16	no	no	INTJ
easat-2338	134	17	.	.	NOUN
easat-2338	135	1	6	6	NUM
easat-2338	135	2	:	:	SYM
easat-2338	135	3	1758	1758	NUM
easat-2338	135	4	-	-	SYM
easat-2338	135	5	1773	1773	NUM
easat-2338	135	6	,	,	PUNCT
easat-2338	135	7	2024	2024	NUM
easat-2338	135	8	doi	doi	NOUN
easat-2338	135	9	:	:	PUNCT
easat-2338	135	10	10.55214/25768484.v8i6.2338	10.55214/25768484.v8i6.2338	NUM
easat-2338	135	11	©	©	PROPN
easat-2338	135	12	2024	2024	NUM
easat-2338	135	13	by	by	ADP
easat-2338	135	14	the	the	DET
easat-2338	135	15	authors	author	NOUN
easat-2338	135	16	;	;	PUNCT
easat-2338	135	17	licensee	licensee	PROPN
easat-2338	135	18	learning	learn	VERB
easat-2338	135	19	gate	gate	PROPN
easat-2338	135	20	figure	figure	NOUN
easat-2338	135	21	8	8	NUM
easat-2338	135	22	.	.	PUNCT
easat-2338	136	1	comparison	comparison	NOUN
easat-2338	136	2	of	of	ADP
easat-2338	136	3	actual	actual	ADJ
easat-2338	136	4	and	and	CCONJ
easat-2338	136	5	predicted	predict	VERB
easat-2338	136	6	panic	panic	NOUN
easat-2338	136	7	disorder	disorder	NOUN
easat-2338	136	8	diagnosis	diagnosis	NOUN
easat-2338	136	9	using	use	VERB
easat-2338	136	10	the	the	DET
easat-2338	136	11	traditional	traditional	ADJ
easat-2338	136	12	method	method	NOUN
easat-2338	136	13	.	.	PUNCT
easat-2338	137	1	figure	figure	NOUN
easat-2338	137	2	9	9	NUM
easat-2338	137	3	.	.	PUNCT
easat-2338	137	4	comparison	comparison	NOUN
easat-2338	137	5	of	of	ADP
easat-2338	137	6	actual	actual	ADJ
easat-2338	137	7	and	and	CCONJ
easat-2338	137	8	predicted	predict	VERB
easat-2338	137	9	panic	panic	NOUN
easat-2338	137	10	disorder	disorder	NOUN
easat-2338	137	11	diagnosis	diagnosis	NOUN
easat-2338	137	12	using	use	VERB
easat-2338	137	13	the	the	DET
easat-2338	137	14	traditional	traditional	ADJ
easat-2338	137	15	method	method	NOUN
easat-2338	137	16	.	.	PUNCT
easat-2338	138	1	1767	1767	NUM
easat-2338	138	2	edelweiss	edelweiss	PROPN
easat-2338	138	3	applied	apply	VERB
easat-2338	138	4	science	science	NOUN
easat-2338	138	5	and	and	CCONJ
easat-2338	138	6	technology	technology	NOUN
easat-2338	138	7	issn	issn	PROPN
easat-2338	138	8	:	:	PUNCT
easat-2338	138	9	2576	2576	NUM
easat-2338	138	10	-	-	SYM
easat-2338	138	11	8484	8484	NUM
easat-2338	138	12	vol	vol	NOUN
easat-2338	138	13	.	.	PROPN
easat-2338	138	14	8	8	NUM
easat-2338	138	15	,	,	PUNCT
easat-2338	138	16	no	no	INTJ
easat-2338	138	17	.	.	NOUN
easat-2338	139	1	6	6	NUM
easat-2338	139	2	:	:	SYM
easat-2338	139	3	1758	1758	NUM
easat-2338	139	4	-	-	SYM
easat-2338	139	5	1773	1773	NUM
easat-2338	139	6	,	,	PUNCT
easat-2338	139	7	2024	2024	NUM
easat-2338	139	8	doi	doi	NOUN
easat-2338	139	9	:	:	PUNCT
easat-2338	139	10	10.55214/25768484.v8i6.2338	10.55214/25768484.v8i6.2338	NUM
easat-2338	139	11	©	©	PROPN
easat-2338	139	12	2024	2024	NUM
easat-2338	139	13	by	by	ADP
easat-2338	139	14	the	the	DET
easat-2338	139	15	authors	author	NOUN
easat-2338	139	16	;	;	PUNCT
easat-2338	139	17	licensee	licensee	PROPN
easat-2338	139	18	learning	learning	NOUN
easat-2338	139	19	gate	gate	NOUN
easat-2338	139	20	3	3	PROPN
easat-2338	139	21	.	.	PUNCT
easat-2338	139	22	results	result	NOUN
easat-2338	139	23	3.1	3.1	NUM
easat-2338	139	24	.	.	PUNCT
easat-2338	140	1	the	the	DET
easat-2338	140	2	distribution	distribution	NOUN
easat-2338	140	3	of	of	ADP
easat-2338	140	4	prss	prss	NOUN
easat-2338	140	5	values	value	NOUN
easat-2338	140	6	the	the	DET
easat-2338	140	7	box	box	NOUN
easat-2338	140	8	plots	plot	NOUN
easat-2338	140	9	in	in	ADP
easat-2338	140	10	figure-10	figure-10	PROPN
easat-2338	140	11	shows	show	VERB
easat-2338	140	12	the	the	DET
easat-2338	140	13	prs	prs	NOUN
easat-2338	140	14	values	value	NOUN
easat-2338	140	15	calculated	calculate	VERB
easat-2338	140	16	by	by	ADP
easat-2338	140	17	the	the	DET
easat-2338	140	18	traditional	traditional	ADJ
easat-2338	140	19	method	method	NOUN
easat-2338	140	20	and	and	CCONJ
easat-2338	140	21	prsnn	prsnn	NOUN
easat-2338	140	22	respectively	respectively	ADV
easat-2338	140	23	,	,	PUNCT
easat-2338	140	24	show	show	VERB
easat-2338	140	25	how	how	SCONJ
easat-2338	140	26	the	the	DET
easat-2338	140	27	prs	prs	NOUN
easat-2338	140	28	values	value	NOUN
easat-2338	140	29	are	be	AUX
easat-2338	140	30	distributed	distribute	VERB
easat-2338	140	31	for	for	ADP
easat-2338	140	32	people	people	NOUN
easat-2338	140	33	with	with	ADP
easat-2338	140	34	and	and	CCONJ
easat-2338	140	35	without	without	ADP
easat-2338	140	36	bipolar	bipolar	ADJ
easat-2338	140	37	disease	disease	NOUN
easat-2338	140	38	.	.	PUNCT
easat-2338	141	1	prs	prs	NOUN
easat-2338	141	2	values	value	NOUN
easat-2338	141	3	measure	measure	VERB
easat-2338	141	4	the	the	DET
easat-2338	141	5	genetic	genetic	ADJ
easat-2338	141	6	risk	risk	NOUN
easat-2338	141	7	for	for	ADP
easat-2338	141	8	these	these	DET
easat-2338	141	9	mental	mental	ADJ
easat-2338	141	10	conditions	condition	NOUN
easat-2338	141	11	.	.	PUNCT
easat-2338	142	1	it	it	PRON
easat-2338	142	2	is	be	AUX
easat-2338	142	3	shown	show	VERB
easat-2338	142	4	that	that	SCONJ
easat-2338	142	5	people	people	NOUN
easat-2338	142	6	with	with	ADP
easat-2338	142	7	bipolar	bipolar	ADJ
easat-2338	142	8	disease	disease	NOUN
easat-2338	142	9	have	have	VERB
easat-2338	142	10	higher	high	ADJ
easat-2338	142	11	prs	prs	NOUN
easat-2338	142	12	values	value	NOUN
easat-2338	142	13	than	than	ADP
easat-2338	142	14	people	people	NOUN
easat-2338	142	15	without	without	ADP
easat-2338	142	16	any	any	DET
easat-2338	142	17	mental	mental	ADJ
easat-2338	142	18	disease	disease	NOUN
easat-2338	142	19	,	,	PUNCT
easat-2338	142	20	which	which	PRON
easat-2338	142	21	means	mean	VERB
easat-2338	142	22	they	they	PRON
easat-2338	142	23	have	have	VERB
easat-2338	142	24	more	more	ADJ
easat-2338	142	25	genetic	genetic	ADJ
easat-2338	142	26	variants	variant	NOUN
easat-2338	142	27	linked	link	VERB
easat-2338	142	28	to	to	ADP
easat-2338	142	29	these	these	DET
easat-2338	142	30	conditions	condition	NOUN
easat-2338	142	31	.	.	PUNCT
easat-2338	143	1	figure	figure	NOUN
easat-2338	143	2	10	10	NUM
easat-2338	143	3	.	.	PUNCT
easat-2338	144	1	box	box	NOUN
easat-2338	144	2	plot	plot	NOUN
easat-2338	144	3	case	case	NOUN
easat-2338	144	4	-	-	PUNCT
easat-2338	144	5	control	control	NOUN
easat-2338	144	6	comparison	comparison	NOUN
easat-2338	144	7	of	of	ADP
easat-2338	144	8	prss	prss	NOUN
easat-2338	144	9	values	value	NOUN
easat-2338	144	10	compared	compare	VERB
easat-2338	144	11	to	to	ADP
easat-2338	144	12	prsnn	prsnn	NOUN
easat-2338	144	13	values	value	NOUN
easat-2338	144	14	for	for	ADP
easat-2338	144	15	bipolar	bipolar	ADJ
easat-2338	144	16	disease	disease	NOUN
easat-2338	144	17	.	.	PUNCT
easat-2338	145	1	the	the	DET
easat-2338	145	2	box	box	PROPN
easat-2338	145	3	plot	plot	NOUN
easat-2338	145	4	consists	consist	VERB
easat-2338	145	5	of	of	ADP
easat-2338	145	6	four	four	NUM
easat-2338	145	7	parts	part	NOUN
easat-2338	145	8	:	:	PUNCT
easat-2338	145	9	the	the	DET
easat-2338	145	10	median	median	NOUN
easat-2338	145	11	,	,	PUNCT
easat-2338	145	12	the	the	DET
easat-2338	145	13	quartiles	quartile	NOUN
easat-2338	145	14	,	,	PUNCT
easat-2338	145	15	the	the	DET
easat-2338	145	16	whiskers	whisker	NOUN
easat-2338	145	17	,	,	PUNCT
easat-2338	145	18	and	and	CCONJ
easat-2338	145	19	the	the	DET
easat-2338	145	20	outliers	outlier	NOUN
easat-2338	145	21	.	.	PUNCT
easat-2338	146	1	the	the	DET
easat-2338	146	2	median	median	NOUN
easat-2338	146	3	is	be	AUX
easat-2338	146	4	the	the	DET
easat-2338	146	5	prs	prs	NOUN
easat-2338	146	6	value	value	NOUN
easat-2338	146	7	that	that	PRON
easat-2338	146	8	splits	split	VERB
easat-2338	146	9	the	the	DET
easat-2338	146	10	data	datum	NOUN
easat-2338	146	11	into	into	ADP
easat-2338	146	12	two	two	NUM
easat-2338	146	13	equal	equal	ADJ
easat-2338	146	14	parts	part	NOUN
easat-2338	146	15	.	.	PUNCT
easat-2338	147	1	the	the	DET
easat-2338	147	2	quartiles	quartile	NOUN
easat-2338	147	3	are	be	AUX
easat-2338	147	4	the	the	DET
easat-2338	147	5	prs	prs	NOUN
easat-2338	147	6	values	value	NOUN
easat-2338	147	7	that	that	PRON
easat-2338	147	8	mark	mark	VERB
easat-2338	147	9	the	the	DET
easat-2338	147	10	25th	25th	ADJ
easat-2338	147	11	and	and	CCONJ
easat-2338	147	12	75th	75th	ADJ
easat-2338	147	13	percentiles	percentile	NOUN
easat-2338	147	14	of	of	ADP
easat-2338	147	15	the	the	DET
easat-2338	147	16	data	datum	NOUN
easat-2338	147	17	,	,	PUNCT
easat-2338	147	18	which	which	PRON
easat-2338	147	19	show	show	VERB
easat-2338	147	20	how	how	SCONJ
easat-2338	147	21	spread	spread	VERB
easat-2338	147	22	out	out	ADP
easat-2338	147	23	the	the	DET
easat-2338	147	24	data	datum	NOUN
easat-2338	147	25	are	be	AUX
easat-2338	147	26	.	.	PUNCT
easat-2338	148	1	the	the	DET
easat-2338	148	2	whiskers	whisker	NOUN
easat-2338	148	3	are	be	AUX
easat-2338	148	4	the	the	DET
easat-2338	148	5	lines	line	NOUN
easat-2338	148	6	that	that	PRON
easat-2338	148	7	go	go	VERB
easat-2338	148	8	from	from	ADP
easat-2338	148	9	the	the	DET
easat-2338	148	10	quartiles	quartile	NOUN
easat-2338	148	11	to	to	ADP
easat-2338	148	12	the	the	DET
easat-2338	148	13	lowest	low	ADJ
easat-2338	148	14	and	and	CCONJ
easat-2338	148	15	highest	high	ADJ
easat-2338	148	16	prs	prs	NOUN
easat-2338	148	17	values	value	NOUN
easat-2338	148	18	,	,	PUNCT
easat-2338	148	19	except	except	SCONJ
easat-2338	148	20	for	for	ADP
easat-2338	148	21	the	the	DET
easat-2338	148	22	outliers	outlier	NOUN
easat-2338	148	23	.	.	PUNCT
easat-2338	149	1	outliers	outlier	NOUN
easat-2338	149	2	are	be	AUX
easat-2338	149	3	the	the	DET
easat-2338	149	4	prs	prs	NOUN
easat-2338	149	5	values	value	NOUN
easat-2338	149	6	that	that	PRON
easat-2338	149	7	are	be	AUX
easat-2338	149	8	much	much	ADV
easat-2338	149	9	higher	high	ADJ
easat-2338	149	10	or	or	CCONJ
easat-2338	149	11	lower	low	ADJ
easat-2338	149	12	than	than	ADP
easat-2338	149	13	the	the	DET
easat-2338	149	14	rest	rest	NOUN
easat-2338	149	15	of	of	ADP
easat-2338	149	16	the	the	DET
easat-2338	149	17	data	datum	NOUN
easat-2338	149	18	,	,	PUNCT
easat-2338	149	19	and	and	CCONJ
easat-2338	149	20	they	they	PRON
easat-2338	149	21	are	be	AUX
easat-2338	149	22	shown	show	VERB
easat-2338	149	23	as	as	ADP
easat-2338	149	24	circles	circle	NOUN
easat-2338	149	25	on	on	ADP
easat-2338	149	26	the	the	DET
easat-2338	149	27	box	box	PROPN
easat-2338	149	28	plot	plot	NOUN
easat-2338	149	29	.	.	PUNCT
easat-2338	150	1	the	the	DET
easat-2338	150	2	box	box	NOUN
easat-2338	150	3	plots	plot	NOUN
easat-2338	150	4	in	in	ADP
easat-2338	150	5	figure-10	figure-10	PROPN
easat-2338	150	6	shows	show	VERB
easat-2338	150	7	the	the	DET
easat-2338	150	8	same	same	ADJ
easat-2338	150	9	insights	insight	NOUN
easat-2338	150	10	as	as	ADP
easat-2338	150	11	of	of	ADP
easat-2338	150	12	figure-11	figure-11	PROPN
easat-2338	150	13	and	and	CCONJ
easat-2338	150	14	figure-12	figure-12	PROPN
easat-2338	150	15	but	but	CCONJ
easat-2338	150	16	the	the	DET
easat-2338	150	17	prss	prss	NOUN
easat-2338	150	18	values	value	NOUN
easat-2338	150	19	are	be	AUX
easat-2338	150	20	calculated	calculate	VERB
easat-2338	150	21	here	here	ADV
easat-2338	150	22	for	for	ADP
easat-2338	150	23	depression	depression	NOUN
easat-2338	150	24	disease	disease	NOUN
easat-2338	150	25	and	and	CCONJ
easat-2338	150	26	panic	panic	NOUN
easat-2338	150	27	disorder	disorder	NOUN
easat-2338	150	28	respectively	respectively	ADV
easat-2338	150	29	.	.	PUNCT
easat-2338	151	1	1768	1768	NUM
easat-2338	151	2	edelweiss	edelweiss	PROPN
easat-2338	151	3	applied	apply	VERB
easat-2338	151	4	science	science	NOUN
easat-2338	151	5	and	and	CCONJ
easat-2338	151	6	technology	technology	NOUN
easat-2338	151	7	issn	issn	PROPN
easat-2338	151	8	:	:	PUNCT
easat-2338	151	9	2576	2576	NUM
easat-2338	151	10	-	-	SYM
easat-2338	151	11	8484	8484	NUM
easat-2338	151	12	vol	vol	NOUN
easat-2338	151	13	.	.	PROPN
easat-2338	151	14	8	8	NUM
easat-2338	151	15	,	,	PUNCT
easat-2338	151	16	no	no	INTJ
easat-2338	151	17	.	.	NOUN
easat-2338	152	1	6	6	NUM
easat-2338	152	2	:	:	SYM
easat-2338	152	3	1758	1758	NUM
easat-2338	152	4	-	-	SYM
easat-2338	152	5	1773	1773	NUM
easat-2338	152	6	,	,	PUNCT
easat-2338	152	7	2024	2024	NUM
easat-2338	152	8	doi	doi	NOUN
easat-2338	152	9	:	:	PUNCT
easat-2338	152	10	10.55214/25768484.v8i6.2338	10.55214/25768484.v8i6.2338	NUM
easat-2338	152	11	©	©	PROPN
easat-2338	152	12	2024	2024	NUM
easat-2338	152	13	by	by	ADP
easat-2338	152	14	the	the	DET
easat-2338	152	15	authors	author	NOUN
easat-2338	152	16	;	;	PUNCT
easat-2338	152	17	licensee	licensee	PROPN
easat-2338	152	18	learning	learn	VERB
easat-2338	152	19	gate	gate	PROPN
easat-2338	152	20	figure	figure	NOUN
easat-2338	152	21	11	11	NUM
easat-2338	152	22	.	.	PUNCT
easat-2338	152	23	box	box	NOUN
easat-2338	152	24	plot	plot	NOUN
easat-2338	152	25	case	case	NOUN
easat-2338	152	26	-	-	PUNCT
easat-2338	152	27	control	control	NOUN
easat-2338	152	28	comparison	comparison	NOUN
easat-2338	152	29	of	of	ADP
easat-2338	152	30	prss	prss	NOUN
easat-2338	152	31	values	value	NOUN
easat-2338	152	32	compared	compare	VERB
easat-2338	152	33	to	to	ADP
easat-2338	152	34	prsnn	prsnn	NOUN
easat-2338	152	35	values	value	NOUN
easat-2338	152	36	for	for	ADP
easat-2338	152	37	depression	depression	NOUN
easat-2338	152	38	.	.	PUNCT
easat-2338	153	1	figure	figure	NOUN
easat-2338	153	2	12	12	NUM
easat-2338	153	3	.	.	PUNCT
easat-2338	153	4	box	box	NOUN
easat-2338	153	5	plot	plot	NOUN
easat-2338	153	6	case	case	NOUN
easat-2338	153	7	-	-	PUNCT
easat-2338	153	8	control	control	NOUN
easat-2338	153	9	comparison	comparison	NOUN
easat-2338	153	10	of	of	ADP
easat-2338	153	11	prss	prss	NOUN
easat-2338	153	12	values	value	NOUN
easat-2338	153	13	compared	compare	VERB
easat-2338	153	14	to	to	ADP
easat-2338	153	15	prsnn	prsnn	NOUN
easat-2338	153	16	values	value	NOUN
easat-2338	153	17	for	for	ADP
easat-2338	153	18	panic	panic	NOUN
easat-2338	153	19	disorder	disorder	NOUN
easat-2338	153	20	.	.	PUNCT
easat-2338	154	1	3.2	3.2	NUM
easat-2338	154	2	.	.	PUNCT
easat-2338	155	1	diagnosing	diagnose	VERB
easat-2338	155	2	the	the	DET
easat-2338	155	3	disease	disease	NOUN
easat-2338	155	4	3.2.1	3.2.1	NUM
easat-2338	155	5	.	.	PUNCT
easat-2338	156	1	quartile	quartile	NOUN
easat-2338	156	2	-	-	PUNCT
easat-2338	156	3	based	base	VERB
easat-2338	156	4	prs	prs	NOUN
easat-2338	156	5	diagnosis	diagnosis	NOUN
easat-2338	156	6	the	the	DET
easat-2338	156	7	box	box	PROPN
easat-2338	156	8	plot	plot	NOUN
easat-2338	156	9	allows	allow	VERB
easat-2338	156	10	us	we	PRON
easat-2338	156	11	to	to	PART
easat-2338	156	12	compare	compare	VERB
easat-2338	156	13	the	the	DET
easat-2338	156	14	prs	prs	NOUN
easat-2338	156	15	values	value	NOUN
easat-2338	156	16	of	of	ADP
easat-2338	156	17	the	the	DET
easat-2338	156	18	two	two	NUM
easat-2338	156	19	groups	group	NOUN
easat-2338	156	20	of	of	ADP
easat-2338	156	21	people	people	NOUN
easat-2338	156	22	.	.	PUNCT
easat-2338	157	1	for	for	ADP
easat-2338	157	2	example	example	NOUN
easat-2338	157	3	,	,	PUNCT
easat-2338	157	4	we	we	PRON
easat-2338	157	5	can	can	AUX
easat-2338	157	6	observe	observe	VERB
easat-2338	157	7	that	that	SCONJ
easat-2338	157	8	the	the	DET
easat-2338	157	9	group	group	NOUN
easat-2338	157	10	with	with	ADP
easat-2338	157	11	depression	depression	NOUN
easat-2338	157	12	has	have	VERB
easat-2338	157	13	a	a	DET
easat-2338	157	14	higher	high	ADJ
easat-2338	157	15	median	median	ADJ
easat-2338	157	16	prs	prs	NOUN
easat-2338	157	17	value	value	NOUN
easat-2338	157	18	than	than	ADP
easat-2338	157	19	the	the	DET
easat-2338	157	20	group	group	NOUN
easat-2338	157	21	without	without	ADP
easat-2338	157	22	any	any	DET
easat-2338	157	23	mental	mental	ADJ
easat-2338	157	24	disease	disease	NOUN
easat-2338	157	25	,	,	PUNCT
easat-2338	157	26	which	which	PRON
easat-2338	157	27	implies	imply	VERB
easat-2338	157	28	that	that	SCONJ
easat-2338	157	29	the	the	DET
easat-2338	157	30	group	group	NOUN
easat-2338	157	31	with	with	ADP
easat-2338	157	32	mental	mental	ADJ
easat-2338	157	33	disease	disease	NOUN
easat-2338	157	34	has	have	VERB
easat-2338	157	35	a	a	DET
easat-2338	157	36	higher	high	ADJ
easat-2338	157	37	mean	mean	ADJ
easat-2338	157	38	genetic	genetic	ADJ
easat-2338	157	39	risk	risk	NOUN
easat-2338	157	40	.	.	PUNCT
easat-2338	158	1	we	we	PRON
easat-2338	158	2	can	can	AUX
easat-2338	158	3	also	also	ADV
easat-2338	158	4	notice	notice	VERB
easat-2338	158	5	that	that	SCONJ
easat-2338	158	6	the	the	DET
easat-2338	158	7	group	group	NOUN
easat-2338	158	8	with	with	ADP
easat-2338	158	9	depression	depression	NOUN
easat-2338	158	10	has	have	VERB
easat-2338	158	11	a	a	DET
easat-2338	158	12	wider	wide	ADJ
easat-2338	158	13	interquartile	interquartile	ADJ
easat-2338	158	14	range	range	NOUN
easat-2338	158	15	than	than	ADP
easat-2338	158	16	the	the	DET
easat-2338	158	17	group	group	NOUN
easat-2338	158	18	without	without	ADP
easat-2338	158	19	any	any	DET
easat-2338	158	20	mental	mental	ADJ
easat-2338	158	21	disease	disease	NOUN
easat-2338	158	22	,	,	PUNCT
easat-2338	158	23	which	which	PRON
easat-2338	158	24	implies	imply	VERB
easat-2338	158	25	that	that	SCONJ
easat-2338	158	26	the	the	DET
easat-2338	158	27	group	group	NOUN
easat-2338	158	28	with	with	ADP
easat-2338	158	29	mental	mental	ADJ
easat-2338	158	30	disease	disease	NOUN
easat-2338	158	31	has	have	VERB
easat-2338	158	32	more	more	ADJ
easat-2338	158	33	diversity	diversity	NOUN
easat-2338	158	34	in	in	ADP
easat-2338	158	35	their	their	PRON
easat-2338	158	36	genetic	genetic	ADJ
easat-2338	158	37	risk	risk	NOUN
easat-2338	158	38	.	.	PUNCT
easat-2338	159	1	the	the	DET
easat-2338	159	2	whiskers	whisker	NOUN
easat-2338	159	3	and	and	CCONJ
easat-2338	159	4	the	the	DET
easat-2338	159	5	outliers	outlier	NOUN
easat-2338	159	6	also	also	ADV
easat-2338	159	7	show	show	VERB
easat-2338	159	8	us	we	PRON
easat-2338	159	9	the	the	DET
easat-2338	159	10	lowest	low	ADJ
easat-2338	159	11	and	and	CCONJ
easat-2338	159	12	highest	high	ADJ
easat-2338	159	13	prs	prs	NOUN
easat-2338	159	14	values	value	NOUN
easat-2338	159	15	for	for	ADP
easat-2338	159	16	each	each	DET
easat-2338	159	17	group	group	NOUN
easat-2338	159	18	.	.	PUNCT
easat-2338	160	1	for	for	ADP
easat-2338	160	2	example	example	NOUN
easat-2338	160	3	,	,	PUNCT
easat-2338	160	4	to	to	PART
easat-2338	160	5	evaluate	evaluate	VERB
easat-2338	160	6	the	the	DET
easat-2338	160	7	risk	risk	NOUN
easat-2338	160	8	of	of	ADP
easat-2338	160	9	bipolar	bipolar	ADJ
easat-2338	160	10	disease	disease	NOUN
easat-2338	160	11	,	,	PUNCT
easat-2338	160	12	we	we	PRON
easat-2338	160	13	used	use	VERB
easat-2338	160	14	the	the	DET
easat-2338	160	15	prs	prs	NOUN
easat-2338	160	16	distribution	distribution	NOUN
easat-2338	160	17	’s	’s	PART
easat-2338	160	18	quartiles	quartile	NOUN
easat-2338	160	19	.	.	PUNCT
easat-2338	161	1	the	the	DET
easat-2338	161	2	traditiona	traditiona	NOUN
easat-2338	161	3	method	method	NOUN
easat-2338	161	4	produces	produce	VERB
easat-2338	161	5	these	these	DET
easat-2338	161	6	prs	prs	NOUN
easat-2338	161	7	values	value	NOUN
easat-2338	161	8	for	for	ADP
easat-2338	161	9	the	the	DET
easat-2338	161	10	25th	25th	ADJ
easat-2338	161	11	,	,	PUNCT
easat-2338	161	12	50th	50th	ADJ
easat-2338	161	13	,	,	PUNCT
easat-2338	161	14	and	and	CCONJ
easat-2338	161	15	75th	75th	ADJ
easat-2338	161	16	percentiles	percentile	NOUN
easat-2338	161	17	:	:	PUNCT
easat-2338	161	18	people	people	NOUN
easat-2338	161	19	with	with	ADP
easat-2338	161	20	the	the	DET
easat-2338	161	21	disease	disease	NOUN
easat-2338	161	22	have	have	VERB
easat-2338	161	23	0.7	0.7	NUM
easat-2338	161	24	,	,	PUNCT
easat-2338	161	25	2.29	2.29	NUM
easat-2338	161	26	,	,	PUNCT
easat-2338	161	27	and	and	CCONJ
easat-2338	161	28	4.8	4.8	NUM
easat-2338	161	29	,	,	PUNCT
easat-2338	161	30	while	while	SCONJ
easat-2338	161	31	people	people	NOUN
easat-2338	161	32	without	without	ADP
easat-2338	161	33	the	the	DET
easat-2338	161	34	disease	disease	NOUN
easat-2338	161	35	have	have	VERB
easat-2338	161	36	-1	-1	ADV
easat-2338	161	37	,	,	PUNCT
easat-2338	161	38	-0.3	-0.3	PROPN
easat-2338	161	39	,	,	PUNCT
easat-2338	161	40	and	and	CCONJ
easat-2338	161	41	1.56	1.56	NUM
easat-2338	161	42	(	(	PUNCT
easat-2338	161	43	see	see	VERB
easat-2338	161	44	figure-10	figure-10	PROPN
easat-2338	161	45	)	)	PUNCT
easat-2338	161	46	.	.	PUNCT
easat-2338	162	1	based	base	VERB
easat-2338	162	2	on	on	ADP
easat-2338	162	3	these	these	DET
easat-2338	162	4	values	value	NOUN
easat-2338	162	5	,	,	PUNCT
easat-2338	162	6	we	we	PRON
easat-2338	162	7	can	can	AUX
easat-2338	162	8	diagnose	diagnose	VERB
easat-2338	162	9	the	the	DET
easat-2338	162	10	disease	disease	NOUN
easat-2338	162	11	1769	1769	NUM
easat-2338	162	12	edelweiss	edelweiss	PROPN
easat-2338	162	13	applied	apply	VERB
easat-2338	162	14	science	science	NOUN
easat-2338	162	15	and	and	CCONJ
easat-2338	162	16	technology	technology	NOUN
easat-2338	162	17	issn	issn	PROPN
easat-2338	162	18	:	:	PUNCT
easat-2338	162	19	2576	2576	NUM
easat-2338	162	20	-	-	SYM
easat-2338	162	21	8484	8484	NUM
easat-2338	162	22	vol	vol	NOUN
easat-2338	162	23	.	.	PROPN
easat-2338	163	1	8	8	NUM
easat-2338	163	2	,	,	PUNCT
easat-2338	163	3	no	no	INTJ
easat-2338	163	4	.	.	NOUN
easat-2338	164	1	6	6	NUM
easat-2338	164	2	:	:	SYM
easat-2338	164	3	1758	1758	NUM
easat-2338	164	4	-	-	SYM
easat-2338	164	5	1773	1773	NUM
easat-2338	164	6	,	,	PUNCT
easat-2338	164	7	2024	2024	NUM
easat-2338	164	8	doi	doi	NOUN
easat-2338	164	9	:	:	PUNCT
easat-2338	164	10	10.55214/25768484.v8i6.2338	10.55214/25768484.v8i6.2338	NUM
easat-2338	164	11	©	©	PROPN
easat-2338	164	12	2024	2024	NUM
easat-2338	164	13	by	by	ADP
easat-2338	164	14	the	the	DET
easat-2338	164	15	authors	author	NOUN
easat-2338	164	16	;	;	PUNCT
easat-2338	164	17	licensee	licensee	PROPN
easat-2338	164	18	learning	learn	VERB
easat-2338	164	19	gate	gate	NOUN
easat-2338	164	20	like	like	ADP
easat-2338	164	21	this	this	PRON
easat-2338	164	22	:	:	PUNCT
easat-2338	164	23	a	a	DET
easat-2338	164	24	person	person	NOUN
easat-2338	164	25	with	with	ADP
easat-2338	164	26	a	a	DET
easat-2338	164	27	prs	prs	NOUN
easat-2338	164	28	value	value	NOUN
easat-2338	164	29	below	below	ADV
easat-2338	164	30	-1	-1	PUNCT
easat-2338	164	31	is	be	AUX
easat-2338	164	32	probably	probably	ADV
easat-2338	164	33	healthy	healthy	ADJ
easat-2338	164	34	,	,	PUNCT
easat-2338	164	35	and	and	CCONJ
easat-2338	164	36	a	a	DET
easat-2338	164	37	person	person	NOUN
easat-2338	164	38	with	with	ADP
easat-2338	164	39	a	a	DET
easat-2338	164	40	prs	prs	NOUN
easat-2338	164	41	value	value	NOUN
easat-2338	164	42	above	above	ADP
easat-2338	164	43	0.7	0.7	NUM
easat-2338	164	44	is	be	AUX
easat-2338	164	45	probably	probably	ADV
easat-2338	164	46	sick	sick	ADJ
easat-2338	164	47	.	.	PUNCT
easat-2338	165	1	3.3	3.3	NUM
easat-2338	165	2	.	.	PUNCT
easat-2338	166	1	comparative	comparative	ADJ
easat-2338	166	2	analysis	analysis	NOUN
easat-2338	166	3	[	[	X
easat-2338	166	4	39	39	NUM
easat-2338	166	5	]	]	PUNCT
easat-2338	166	6	presented	present	VERB
easat-2338	166	7	a	a	DET
easat-2338	166	8	novel	novel	ADJ
easat-2338	166	9	deep	deep	ADJ
easat-2338	166	10	-	-	PUNCT
easat-2338	166	11	learning	learning	NOUN
easat-2338	166	12	-	-	PUNCT
easat-2338	166	13	based	base	VERB
easat-2338	166	14	model	model	NOUN
easat-2338	166	15	named	name	VERB
easat-2338	166	16	deepprs	deepprs	NOUN
easat-2338	166	17	for	for	ADP
easat-2338	166	18	scoring	score	VERB
easat-2338	166	19	the	the	DET
easat-2338	166	20	risk	risk	NOUN
easat-2338	166	21	of	of	ADP
easat-2338	166	22	common	common	ADJ
easat-2338	166	23	diseases	disease	NOUN
easat-2338	166	24	with	with	ADP
easat-2338	166	25	genome	genome	NOUN
easat-2338	166	26	-	-	PUNCT
easat-2338	166	27	wide	wide	ADJ
easat-2338	166	28	genotype	genotype	NOUN
easat-2338	166	29	data	datum	NOUN
easat-2338	166	30	.	.	PUNCT
easat-2338	167	1	the	the	DET
easat-2338	167	2	model	model	NOUN
easat-2338	167	3	was	be	AUX
easat-2338	167	4	evaluated	evaluate	VERB
easat-2338	167	5	on	on	ADP
easat-2338	167	6	the	the	DET
easat-2338	167	7	uk	uk	PROPN
easat-2338	167	8	biobank	biobank	NOUN
easat-2338	167	9	dataset	dataset	VERB
easat-2338	167	10	and	and	CCONJ
easat-2338	167	11	shown	show	VERB
easat-2338	167	12	to	to	PART
easat-2338	167	13	outperform	outperform	VERB
easat-2338	167	14	other	other	ADJ
easat-2338	167	15	stateof	stateof	ADJ
easat-2338	167	16	-	-	PUNCT
easat-2338	167	17	the	the	DET
easat-2338	167	18	-	-	PUNCT
easat-2338	167	19	art	art	NOUN
easat-2338	167	20	methods	method	NOUN
easat-2338	167	21	for	for	ADP
easat-2338	167	22	alzheimer	alzheimer	PROPN
easat-2338	167	23	’s	’s	PART
easat-2338	167	24	disease	disease	NOUN
easat-2338	167	25	,	,	PUNCT
easat-2338	167	26	inflammatory	inflammatory	ADJ
easat-2338	167	27	bowel	bowel	NOUN
easat-2338	167	28	disease	disease	NOUN
easat-2338	167	29	,	,	PUNCT
easat-2338	167	30	type	type	NOUN
easat-2338	167	31	2	2	NUM
easat-2338	167	32	diabetes	diabetes	NOUN
easat-2338	167	33	,	,	PUNCT
easat-2338	167	34	and	and	CCONJ
easat-2338	167	35	breast	breast	NOUN
easat-2338	167	36	cancer	cancer	NOUN
easat-2338	167	37	.	.	PUNCT
easat-2338	168	1	deepprs	deepprs	NOUN
easat-2338	168	2	is	be	AUX
easat-2338	168	3	reported	report	VERB
easat-2338	168	4	not	not	PART
easat-2338	168	5	to	to	PART
easat-2338	168	6	rely	rely	VERB
easat-2338	168	7	solely	solely	ADV
easat-2338	168	8	on	on	ADP
easat-2338	168	9	the	the	DET
easat-2338	168	10	additive	additive	ADJ
easat-2338	168	11	effect	effect	NOUN
easat-2338	168	12	of	of	ADP
easat-2338	168	13	risk	risk	NOUN
easat-2338	168	14	snps	snps	PROPN
easat-2338	168	15	and	and	CCONJ
easat-2338	168	16	has	have	VERB
easat-2338	168	17	the	the	DET
easat-2338	168	18	potential	potential	NOUN
easat-2338	168	19	to	to	PART
easat-2338	168	20	identify	identify	VERB
easat-2338	168	21	high	high	ADJ
easat-2338	168	22	-	-	PUNCT
easat-2338	168	23	risk	risk	NOUN
easat-2338	168	24	individuals	individual	NOUN
easat-2338	168	25	even	even	ADV
easat-2338	168	26	with	with	ADP
easat-2338	168	27	few	few	ADJ
easat-2338	168	28	known	know	VERB
easat-2338	168	29	risk	risk	NOUN
easat-2338	168	30	snps	snps	NOUN
easat-2338	168	31	.	.	PUNCT
easat-2338	169	1	[	[	X
easat-2338	169	2	40	40	NUM
easat-2338	169	3	]	]	PUNCT
easat-2338	169	4	compared	compare	VERB
easat-2338	169	5	the	the	DET
easat-2338	169	6	performance	performance	NOUN
easat-2338	169	7	of	of	ADP
easat-2338	169	8	machine	machine	NOUN
easat-2338	169	9	learning	learning	NOUN
easat-2338	169	10	(	(	PUNCT
easat-2338	169	11	ml	ml	NOUN
easat-2338	169	12	)	)	PUNCT
easat-2338	169	13	and	and	CCONJ
easat-2338	169	14	deep	deep	ADJ
easat-2338	169	15	learning	learning	NOUN
easat-2338	169	16	(	(	PUNCT
easat-2338	169	17	dl	dl	NOUN
easat-2338	169	18	)	)	PUNCT
easat-2338	169	19	methods	method	NOUN
easat-2338	169	20	to	to	ADP
easat-2338	169	21	classical	classical	ADJ
easat-2338	169	22	prs	prs	NOUN
easat-2338	169	23	calculation	calculation	NOUN
easat-2338	169	24	methods	method	NOUN
easat-2338	169	25	for	for	ADP
easat-2338	169	26	predicting	predict	VERB
easat-2338	169	27	polygenic	polygenic	ADJ
easat-2338	169	28	risk	risk	NOUN
easat-2338	169	29	scores	score	NOUN
easat-2338	169	30	(	(	PUNCT
easat-2338	169	31	prs	prs	NOUN
easat-2338	169	32	)	)	PUNCT
easat-2338	169	33	in	in	ADP
easat-2338	169	34	genome	genome	NOUN
easat-2338	169	35	-	-	PUNCT
easat-2338	169	36	wide	wide	ADJ
easat-2338	169	37	association	association	NOUN
easat-2338	169	38	studies	study	NOUN
easat-2338	169	39	(	(	PUNCT
easat-2338	169	40	gwas	gwas	PROPN
easat-2338	169	41	)	)	PUNCT
easat-2338	169	42	.	.	PUNCT
easat-2338	170	1	the	the	DET
easat-2338	170	2	authors	author	NOUN
easat-2338	170	3	used	use	VERB
easat-2338	170	4	simulated	simulate	VERB
easat-2338	170	5	gwas	gwas	PROPN
easat-2338	170	6	data	datum	NOUN
easat-2338	170	7	with	with	ADP
easat-2338	170	8	different	different	ADJ
easat-2338	170	9	allele	allele	NOUN
easat-2338	170	10	frequencies	frequency	NOUN
easat-2338	170	11	and	and	CCONJ
easat-2338	170	12	sample	sample	NOUN
easat-2338	170	13	sizes	size	NOUN
easat-2338	170	14	to	to	PART
easat-2338	170	15	evaluate	evaluate	VERB
easat-2338	170	16	the	the	DET
easat-2338	170	17	performance	performance	NOUN
easat-2338	170	18	of	of	ADP
easat-2338	170	19	different	different	ADJ
easat-2338	170	20	methods	method	NOUN
easat-2338	170	21	.	.	PUNCT
easat-2338	171	1	they	they	PRON
easat-2338	171	2	found	find	VERB
easat-2338	171	3	that	that	SCONJ
easat-2338	171	4	ml	ml	ADP
easat-2338	171	5	methods	method	NOUN
easat-2338	171	6	,	,	PUNCT
easat-2338	171	7	such	such	ADJ
easat-2338	171	8	as	as	ADP
easat-2338	171	9	support	support	NOUN
easat-2338	171	10	vector	vector	NOUN
easat-2338	171	11	machine	machine	NOUN
easat-2338	171	12	(	(	PUNCT
easat-2338	171	13	svm	svm	PROPN
easat-2338	171	14	)	)	PUNCT
easat-2338	171	15	and	and	CCONJ
easat-2338	171	16	random	random	ADJ
easat-2338	171	17	forest	forest	NOUN
easat-2338	171	18	(	(	PUNCT
easat-2338	171	19	rf	rf	NOUN
easat-2338	171	20	)	)	PUNCT
easat-2338	171	21	,	,	PUNCT
easat-2338	171	22	can	can	AUX
easat-2338	171	23	achieve	achieve	VERB
easat-2338	171	24	more	more	ADV
easat-2338	171	25	consistent	consistent	ADJ
easat-2338	171	26	results	result	NOUN
easat-2338	171	27	in	in	ADP
easat-2338	171	28	terms	term	NOUN
easat-2338	171	29	of	of	ADP
easat-2338	171	30	case	case	NOUN
easat-2338	171	31	-	-	PUNCT
easat-2338	171	32	control	control	NOUN
easat-2338	171	33	separation	separation	NOUN
easat-2338	171	34	compared	compare	VERB
easat-2338	171	35	to	to	PART
easat-2338	171	36	prs	prs	VERB
easat-2338	171	37	calculated	calculate	VERB
easat-2338	171	38	with	with	ADP
easat-2338	171	39	the	the	DET
easat-2338	171	40	classical	classical	ADJ
easat-2338	171	41	method	method	NOUN
easat-2338	171	42	.	.	PUNCT
easat-2338	172	1	the	the	DET
easat-2338	172	2	paper	paper	NOUN
easat-2338	172	3	suggested	suggest	VERB
easat-2338	172	4	that	that	SCONJ
easat-2338	172	5	ml	ml	VERB
easat-2338	172	6	and	and	CCONJ
easat-2338	172	7	dl	dl	PROPN
easat-2338	172	8	methods	method	NOUN
easat-2338	172	9	can	can	AUX
easat-2338	172	10	be	be	AUX
easat-2338	172	11	a	a	DET
easat-2338	172	12	good	good	ADJ
easat-2338	172	13	alternative	alternative	NOUN
easat-2338	172	14	to	to	ADP
easat-2338	172	15	classical	classical	ADJ
easat-2338	172	16	prs	prs	NOUN
easat-2338	172	17	calculation	calculation	NOUN
easat-2338	172	18	methods	method	NOUN
easat-2338	172	19	.	.	PUNCT
easat-2338	173	1	[	[	X
easat-2338	173	2	41	41	NUM
easat-2338	173	3	]	]	PUNCT
easat-2338	173	4	compared	compare	VERB
easat-2338	173	5	the	the	DET
easat-2338	173	6	use	use	NOUN
easat-2338	173	7	of	of	ADP
easat-2338	173	8	prs	prs	NOUN
easat-2338	173	9	and	and	CCONJ
easat-2338	173	10	machine	machine	NOUN
easat-2338	173	11	learning	learning	NOUN
easat-2338	173	12	for	for	ADP
easat-2338	173	13	case	case	NOUN
easat-2338	173	14	/	/	SYM
easat-2338	173	15	control	control	NOUN
easat-2338	173	16	classification	classification	NOUN
easat-2338	173	17	using	use	VERB
easat-2338	173	18	simulated	simulated	ADJ
easat-2338	173	19	data	datum	NOUN
easat-2338	173	20	.	.	PUNCT
easat-2338	174	1	the	the	DET
easat-2338	174	2	results	result	NOUN
easat-2338	174	3	showed	show	VERB
easat-2338	174	4	that	that	SCONJ
easat-2338	174	5	the	the	DET
easat-2338	174	6	average	average	ADJ
easat-2338	174	7	classification	classification	NOUN
easat-2338	174	8	auc	auc	NOUN
easat-2338	174	9	for	for	ADP
easat-2338	174	10	prsice	prsice	NOUN
easat-2338	174	11	,	,	PUNCT
easat-2338	174	12	plink	plink	PROPN
easat-2338	174	13	,	,	PUNCT
easat-2338	174	14	lassosum	lassosum	PROPN
easat-2338	174	15	,	,	PUNCT
easat-2338	174	16	and	and	CCONJ
easat-2338	174	17	machine	machine	NOUN
easat-2338	174	18	learning	learning	NOUN
easat-2338	174	19	was	be	AUX
easat-2338	174	20	0.27	0.27	NUM
easat-2338	174	21	,	,	PUNCT
easat-2338	174	22	0.3	0.3	NUM
easat-2338	174	23	,	,	PUNCT
easat-2338	174	24	0.35	0.35	NUM
easat-2338	174	25	,	,	PUNCT
easat-2338	174	26	and	and	CCONJ
easat-2338	174	27	0.87	0.87	NUM
easat-2338	174	28	,	,	PUNCT
easat-2338	174	29	respectively	respectively	ADV
easat-2338	174	30	.	.	PUNCT
easat-2338	175	1	the	the	DET
easat-2338	175	2	authors	author	NOUN
easat-2338	175	3	concluded	conclude	VERB
easat-2338	175	4	that	that	SCONJ
easat-2338	175	5	the	the	DET
easat-2338	175	6	choice	choice	NOUN
easat-2338	175	7	between	between	ADP
easat-2338	175	8	prs	prs	NOUN
easat-2338	175	9	and	and	CCONJ
easat-2338	175	10	machine	machine	NOUN
easat-2338	175	11	learning	learning	NOUN
easat-2338	175	12	depends	depend	VERB
easat-2338	175	13	on	on	ADP
easat-2338	175	14	the	the	DET
easat-2338	175	15	specific	specific	ADJ
easat-2338	175	16	phenotype	phenotype	NOUN
easat-2338	175	17	.	.	PUNCT
easat-2338	176	1	the	the	DET
easat-2338	176	2	study	study	NOUN
easat-2338	176	3	provides	provide	VERB
easat-2338	176	4	scripts	script	NOUN
easat-2338	176	5	and	and	CCONJ
easat-2338	176	6	code	code	NOUN
easat-2338	176	7	segments	segment	NOUN
easat-2338	176	8	for	for	ADP
easat-2338	176	9	dataset	dataset	NOUN
easat-2338	176	10	generation	generation	NOUN
easat-2338	176	11	,	,	PUNCT
easat-2338	176	12	prs	prs	NOUN
easat-2338	176	13	calculation	calculation	NOUN
easat-2338	176	14	,	,	PUNCT
easat-2338	176	15	and	and	CCONJ
easat-2338	176	16	machine	machine	NOUN
easat-2338	176	17	learning	learning	NOUN
easat-2338	176	18	model	model	NOUN
easat-2338	176	19	training	training	NOUN
easat-2338	176	20	,	,	PUNCT
easat-2338	176	21	discussing	discuss	VERB
easat-2338	176	22	the	the	DET
easat-2338	176	23	steps	step	NOUN
easat-2338	176	24	involved	involve	VERB
easat-2338	176	25	in	in	ADP
easat-2338	176	26	dataset	dataset	NOUN
easat-2338	176	27	generation	generation	NOUN
easat-2338	176	28	,	,	PUNCT
easat-2338	176	29	dataset	dataset	NOUN
easat-2338	176	30	division	division	NOUN
easat-2338	176	31	,	,	PUNCT
easat-2338	176	32	quality	quality	NOUN
easat-2338	176	33	control	control	NOUN
easat-2338	176	34	,	,	PUNCT
easat-2338	176	35	prs	prs	NOUN
easat-2338	176	36	calculation	calculation	NOUN
easat-2338	176	37	,	,	PUNCT
easat-2338	176	38	and	and	CCONJ
easat-2338	176	39	machine	machine	NOUN
easat-2338	176	40	learning	learning	NOUN
easat-2338	176	41	.	.	PUNCT
easat-2338	177	1	the	the	DET
easat-2338	177	2	prs	prs	NOUN
easat-2338	177	3	scores	score	NOUN
easat-2338	177	4	are	be	AUX
easat-2338	177	5	normalized	normalize	VERB
easat-2338	177	6	between	between	ADP
easat-2338	177	7	0	0	NUM
easat-2338	177	8	and	and	CCONJ
easat-2338	177	9	1	1	NUM
easat-2338	177	10	,	,	PUNCT
easat-2338	177	11	and	and	CCONJ
easat-2338	177	12	individuals	individual	NOUN
easat-2338	177	13	with	with	ADP
easat-2338	177	14	prs	prs	NOUN
easat-2338	177	15	¿	¿	PROPN
easat-2338	177	16	0.5	0.5	NUM
easat-2338	177	17	are	be	AUX
easat-2338	177	18	considered	consider	VERB
easat-2338	177	19	cases	case	NOUN
easat-2338	177	20	.	.	PUNCT
easat-2338	178	1	while	while	SCONJ
easat-2338	178	2	this	this	DET
easat-2338	178	3	procedure	procedure	NOUN
easat-2338	178	4	is	be	AUX
easat-2338	178	5	demonstrated	demonstrate	VERB
easat-2338	178	6	using	use	VERB
easat-2338	178	7	simulated	simulated	ADJ
easat-2338	178	8	binary	binary	ADJ
easat-2338	178	9	phenotypes	phenotype	NOUN
easat-2338	178	10	,	,	PUNCT
easat-2338	178	11	it	it	PRON
easat-2338	178	12	can	can	AUX
easat-2338	178	13	likely	likely	ADV
easat-2338	178	14	be	be	AUX
easat-2338	178	15	adapted	adapt	VERB
easat-2338	178	16	to	to	ADP
easat-2338	178	17	real	real	ADJ
easat-2338	178	18	-	-	PUNCT
easat-2338	178	19	world	world	NOUN
easat-2338	178	20	datasets	dataset	NOUN
easat-2338	178	21	containing	contain	VERB
easat-2338	178	22	continuous	continuous	ADJ
easat-2338	178	23	phenotypes	phenotype	NOUN
easat-2338	178	24	by	by	ADP
easat-2338	178	25	modifying	modify	VERB
easat-2338	178	26	the	the	DET
easat-2338	178	27	final	final	ADJ
easat-2338	178	28	step	step	NOUN
easat-2338	178	29	and	and	CCONJ
easat-2338	178	30	employing	employ	VERB
easat-2338	178	31	a	a	DET
easat-2338	178	32	multi	multi	ADJ
easat-2338	178	33	-	-	ADJ
easat-2338	178	34	label	label	ADJ
easat-2338	178	35	classification	classification	NOUN
easat-2338	178	36	approach	approach	NOUN
easat-2338	178	37	when	when	SCONJ
easat-2338	178	38	training	train	VERB
easat-2338	178	39	the	the	DET
easat-2338	178	40	machine	machine	NOUN
easat-2338	178	41	learning	learn	VERB
easat-2338	178	42	model	model	NOUN
easat-2338	178	43	.	.	PUNCT
easat-2338	179	1	[	[	X
easat-2338	179	2	42	42	NUM
easat-2338	179	3	]	]	PUNCT
easat-2338	179	4	also	also	ADV
easat-2338	179	5	compared	compare	VERB
easat-2338	179	6	prs	prs	NOUN
easat-2338	179	7	and	and	CCONJ
easat-2338	179	8	machine	machine	NOUN
easat-2338	179	9	learning	learning	NOUN
easat-2338	179	10	methods	method	NOUN
easat-2338	179	11	for	for	ADP
easat-2338	179	12	predicting	predict	VERB
easat-2338	179	13	cad	cad	PROPN
easat-2338	179	14	status	status	NOUN
easat-2338	179	15	,	,	PUNCT
easat-2338	179	16	but	but	CCONJ
easat-2338	179	17	uses	use	VERB
easat-2338	179	18	a	a	DET
easat-2338	179	19	different	different	ADJ
easat-2338	179	20	dataset	dataset	NOUN
easat-2338	179	21	and	and	CCONJ
easat-2338	179	22	methodology	methodology	NOUN
easat-2338	179	23	.	.	PUNCT
easat-2338	180	1	the	the	DET
easat-2338	180	2	authors	author	NOUN
easat-2338	180	3	used	use	VERB
easat-2338	180	4	a	a	DET
easat-2338	180	5	dataset	dataset	NOUN
easat-2338	180	6	of	of	ADP
easat-2338	180	7	527	527	NUM
easat-2338	180	8	cad	cad	NOUN
easat-2338	180	9	cases	case	NOUN
easat-2338	180	10	and	and	CCONJ
easat-2338	180	11	473	473	NUM
easat-2338	180	12	controls	control	NOUN
easat-2338	180	13	from	from	ADP
easat-2338	180	14	germany	germany	PROPN
easat-2338	180	15	to	to	PART
easat-2338	180	16	evaluate	evaluate	VERB
easat-2338	180	17	the	the	DET
easat-2338	180	18	performance	performance	NOUN
easat-2338	180	19	of	of	ADP
easat-2338	180	20	the	the	DET
easat-2338	180	21	same	same	ADJ
easat-2338	180	22	machine	machine	NOUN
easat-2338	180	23	learning	learning	NOUN
easat-2338	180	24	methods	method	NOUN
easat-2338	180	25	as	as	ADP
easat-2338	180	26	in	in	ADP
easat-2338	180	27	the	the	DET
easat-2338	180	28	previous	previous	ADJ
easat-2338	180	29	paper	paper	NOUN
easat-2338	180	30	,	,	PUNCT
easat-2338	180	31	as	as	ADV
easat-2338	180	32	well	well	ADV
easat-2338	180	33	as	as	ADP
easat-2338	180	34	prs	prs	NOUN
easat-2338	180	35	based	base	VERB
easat-2338	180	36	on	on	ADP
easat-2338	180	37	50,633	50,633	NUM
easat-2338	180	38	loci	locus	NOUN
easat-2338	180	39	.	.	PUNCT
easat-2338	181	1	they	they	PRON
easat-2338	181	2	again	again	ADV
easat-2338	181	3	found	find	VERB
easat-2338	181	4	that	that	SCONJ
easat-2338	181	5	prs	prs	NOUN
easat-2338	181	6	outperformed	outperform	VERB
easat-2338	181	7	all	all	DET
easat-2338	181	8	machine	machine	NOUN
easat-2338	181	9	learning	learning	NOUN
easat-2338	181	10	methods	method	NOUN
easat-2338	181	11	,	,	PUNCT
easat-2338	181	12	with	with	ADP
easat-2338	181	13	an	an	DET
easat-2338	181	14	auc	auc	NOUN
easat-2338	181	15	of	of	ADP
easat-2338	181	16	0.90	0.90	NUM
easat-2338	181	17	in	in	ADP
easat-2338	181	18	the	the	DET
easat-2338	181	19	german	german	ADJ
easat-2338	181	20	test	test	NOUN
easat-2338	181	21	data	datum	NOUN
easat-2338	181	22	.	.	PUNCT
easat-2338	182	1	overall	overall	ADV
easat-2338	182	2	,	,	PUNCT
easat-2338	182	3	these	these	DET
easat-2338	182	4	studies	study	NOUN
easat-2338	182	5	suggest	suggest	VERB
easat-2338	182	6	that	that	SCONJ
easat-2338	182	7	prs	prs	NOUN
easat-2338	182	8	is	be	AUX
easat-2338	182	9	generally	generally	ADV
easat-2338	182	10	a	a	DET
easat-2338	182	11	more	more	ADV
easat-2338	182	12	accurate	accurate	ADJ
easat-2338	182	13	method	method	NOUN
easat-2338	182	14	than	than	ADP
easat-2338	182	15	machine	machine	NOUN
easat-2338	182	16	learning	learning	NOUN
easat-2338	182	17	for	for	ADP
easat-2338	182	18	predicting	predict	VERB
easat-2338	182	19	complex	complex	ADJ
easat-2338	182	20	diseases	disease	NOUN
easat-2338	182	21	like	like	ADP
easat-2338	182	22	cad	cad	NOUN
easat-2338	182	23	,	,	PUNCT
easat-2338	182	24	although	although	SCONJ
easat-2338	182	25	the	the	DET
easat-2338	182	26	performance	performance	NOUN
easat-2338	182	27	may	may	AUX
easat-2338	182	28	vary	vary	VERB
easat-2338	182	29	depending	depend	VERB
easat-2338	182	30	on	on	ADP
easat-2338	182	31	the	the	DET
easat-2338	182	32	specific	specific	ADJ
easat-2338	182	33	disease	disease	NOUN
easat-2338	182	34	and	and	CCONJ
easat-2338	182	35	the	the	DET
easat-2338	182	36	methods	method	NOUN
easat-2338	182	37	used	use	VERB
easat-2338	182	38	.	.	PUNCT
easat-2338	183	1	a	a	DET
easat-2338	183	2	comparative	comparative	ADJ
easat-2338	183	3	analysis	analysis	NOUN
easat-2338	183	4	of	of	ADP
easat-2338	183	5	these	these	DET
easat-2338	183	6	approaches	approach	NOUN
easat-2338	183	7	is	be	AUX
easat-2338	183	8	also	also	ADV
easat-2338	183	9	presented	present	VERB
easat-2338	183	10	as	as	ADP
easat-2338	183	11	a	a	DET
easat-2338	183	12	table	table	NOUN
easat-2338	183	13	given	give	VERB
easat-2338	183	14	below	below	ADP
easat-2338	183	15	:	:	PUNCT
easat-2338	183	16	1770	1770	NUM
easat-2338	183	17	edelweiss	edelweiss	PROPN
easat-2338	183	18	applied	apply	VERB
easat-2338	183	19	science	science	NOUN
easat-2338	183	20	and	and	CCONJ
easat-2338	183	21	technology	technology	NOUN
easat-2338	183	22	issn	issn	PROPN
easat-2338	183	23	:	:	PUNCT
easat-2338	183	24	2576	2576	NUM
easat-2338	183	25	-	-	SYM
easat-2338	183	26	8484	8484	NUM
easat-2338	183	27	vol	vol	NOUN
easat-2338	183	28	.	.	PROPN
easat-2338	183	29	8	8	NUM
easat-2338	183	30	,	,	PUNCT
easat-2338	183	31	no	no	INTJ
easat-2338	183	32	.	.	NOUN
easat-2338	184	1	6	6	NUM
easat-2338	184	2	:	:	SYM
easat-2338	184	3	1758	1758	NUM
easat-2338	184	4	-	-	SYM
easat-2338	184	5	1773	1773	NUM
easat-2338	184	6	,	,	PUNCT
easat-2338	184	7	2024	2024	NUM
easat-2338	184	8	doi	doi	NOUN
easat-2338	184	9	:	:	PUNCT
easat-2338	184	10	10.55214/25768484.v8i6.2338	10.55214/25768484.v8i6.2338	NUM
easat-2338	184	11	©	©	PROPN
easat-2338	184	12	2024	2024	NUM
easat-2338	184	13	by	by	ADP
easat-2338	184	14	the	the	DET
easat-2338	184	15	authors	author	NOUN
easat-2338	184	16	;	;	PUNCT
easat-2338	184	17	licensee	licensee	PROPN
easat-2338	184	18	learning	learn	VERB
easat-2338	184	19	gate	gate	NOUN
easat-2338	184	20	table	table	NOUN
easat-2338	184	21	5	5	NUM
easat-2338	184	22	.	.	PUNCT
easat-2338	185	1	a	a	DET
easat-2338	185	2	comparative	comparative	ADJ
easat-2338	185	3	analysis	analysis	NOUN
easat-2338	185	4	of	of	ADP
easat-2338	185	5	methods	method	NOUN
easat-2338	185	6	that	that	PRON
easat-2338	185	7	calculate	calculate	VERB
easat-2338	185	8	prs	prs	NOUN
easat-2338	185	9	.	.	PUNCT
easat-2338	186	1	ref	ref	PROPN
easat-2338	186	2	.	.	PUNCT
easat-2338	187	1	method	method	PROPN
easat-2338	187	2	data	datum	NOUN
easat-2338	187	3	disease	disease	NOUN
easat-2338	187	4	finding	find	VERB
easat-2338	187	5	[	[	X
easat-2338	187	6	39	39	NUM
easat-2338	187	7	]	]	X
easat-2338	187	8	dl	dl	NOUN
easat-2338	187	9	-	-	PUNCT
easat-2338	187	10	based	base	VERB
easat-2338	187	11	model	model	NOUN
easat-2338	187	12	(	(	PUNCT
easat-2338	187	13	deepprs	deepprs	NOUN
easat-2338	187	14	)	)	PUNCT
easat-2338	187	15	for	for	ADP
easat-2338	187	16	scoring	score	VERB
easat-2338	187	17	disease	disease	NOUN
easat-2338	187	18	risk	risk	NOUN
easat-2338	187	19	genome	genome	NOUN
easat-2338	187	20	-	-	PUNCT
easat-2338	187	21	wide	wide	ADJ
easat-2338	187	22	genotype	genotype	NOUN
easat-2338	187	23	data	datum	NOUN
easat-2338	187	24	from	from	ADP
easat-2338	187	25	uk	uk	PROPN
easat-2338	187	26	biobank	biobank	PROPN
easat-2338	187	27	alzheimer	alzheimer	PROPN
easat-2338	187	28	,	,	PUNCT
easat-2338	187	29	inflammatory	inflammatory	ADJ
easat-2338	187	30	bowel	bowel	NOUN
easat-2338	187	31	,	,	PUNCT
easat-2338	187	32	type	type	NOUN
easat-2338	187	33	2	2	NUM
easat-2338	187	34	diabetes	diabete	NOUN
easat-2338	187	35	,	,	PUNCT
easat-2338	187	36	breast	breast	NOUN
easat-2338	187	37	cancer	cancer	NOUN
easat-2338	187	38	deepprs	deepprs	NOUN
easat-2338	187	39	outperformed	outperform	VERB
easat-2338	187	40	other	other	ADJ
easat-2338	187	41	state	state	NOUN
easat-2338	187	42	-	-	PUNCT
easat-2338	187	43	of	of	ADP
easat-2338	187	44	-	-	PUNCT
easat-2338	187	45	the	the	DET
easat-2338	187	46	-	-	PUNCT
easat-2338	187	47	art	art	NOUN
easat-2338	187	48	methods	method	NOUN
easat-2338	187	49	(	(	PUNCT
easat-2338	187	50	pruning	prune	VERB
easat-2338	187	51	and	and	CCONJ
easat-2338	187	52	thresholding	thresholding	NOUN
easat-2338	187	53	method	method	NOUN
easat-2338	187	54	,	,	PUNCT
easat-2338	187	55	and	and	CCONJ
easat-2338	187	56	lasso	lasso	NOUN
easat-2338	187	57	model	model	NOUN
easat-2338	187	58	)	)	PUNCT
easat-2338	188	1	[	[	X
easat-2338	188	2	40	40	NUM
easat-2338	188	3	]	]	PUNCT
easat-2338	188	4	compared	compare	VERB
easat-2338	188	5	ml	ml	PROPN
easat-2338	188	6	(	(	PUNCT
easat-2338	188	7	svm	svm	PROPN
easat-2338	188	8	and	and	CCONJ
easat-2338	188	9	rf	rf	NOUN
easat-2338	188	10	)	)	PUNCT
easat-2338	188	11	and	and	CCONJ
easat-2338	188	12	dl	dl	PROPN
easat-2338	188	13	methods	method	NOUN
easat-2338	188	14	to	to	ADP
easat-2338	188	15	classical	classical	ADJ
easat-2338	188	16	prs	prs	NOUN
easat-2338	188	17	calculation	calculation	NOUN
easat-2338	188	18	simulated	simulate	VERB
easat-2338	188	19	gwas	gwas	PROPN
easat-2338	188	20	data	datum	NOUN
easat-2338	188	21	na	na	ADP
easat-2338	188	22	ml	ml	NOUN
easat-2338	188	23	methods	method	NOUN
easat-2338	188	24	achieved	achieve	VERB
easat-2338	188	25	more	more	ADV
easat-2338	188	26	consistent	consistent	ADJ
easat-2338	188	27	results	result	NOUN
easat-2338	188	28	than	than	ADP
easat-2338	188	29	prs	prs	NOUN
easat-2338	188	30	[	[	PUNCT
easat-2338	188	31	41	41	NUM
easat-2338	188	32	]	]	PUNCT
easat-2338	188	33	compares	compare	VERB
easat-2338	188	34	prs	prs	NOUN
easat-2338	188	35	and	and	CCONJ
easat-2338	188	36	ml	ml	PROPN
easat-2338	188	37	(	(	PUNCT
easat-2338	188	38	ann	ann	PROPN
easat-2338	188	39	)	)	PUNCT
easat-2338	188	40	methods	method	NOUN
easat-2338	188	41	for	for	ADP
easat-2338	188	42	cases	case	NOUN
easat-2338	188	43	/	/	SYM
easat-2338	188	44	controls	control	VERB
easat-2338	188	45	classification	classification	NOUN
easat-2338	188	46	simulated	simulate	VERB
easat-2338	188	47	geno	geno	NOUN
easat-2338	188	48	typed	type	VERB
easat-2338	188	49	data	datum	NOUN
easat-2338	188	50	na	na	ADP
easat-2338	188	51	ml	ml	PROPN
easat-2338	188	52	(	(	PUNCT
easat-2338	188	53	ann	ann	PROPN
easat-2338	188	54	)	)	PUNCT
easat-2338	188	55	outperformed	outperform	VERB
easat-2338	188	56	the	the	DET
easat-2338	188	57	prs	prs	NOUN
easat-2338	188	58	tools	tool	NOUN
easat-2338	188	59	in	in	ADP
easat-2338	188	60	terms	term	NOUN
easat-2338	188	61	of	of	ADP
easat-2338	188	62	classification	classification	NOUN
easat-2338	188	63	accuracy	accuracy	NOUN
easat-2338	188	64	.	.	PUNCT
easat-2338	189	1	[	[	X
easat-2338	189	2	42	42	NUM
easat-2338	189	3	]	]	PUNCT
easat-2338	189	4	compares	compare	VERB
easat-2338	189	5	prs	prs	NOUN
easat-2338	189	6	and	and	CCONJ
easat-2338	189	7	ml	ml	ADP
easat-2338	189	8	methods	method	NOUN
easat-2338	189	9	for	for	AUX
easat-2338	189	10	predict	predict	VERB
easat-2338	189	11	ing	ing	ADJ
easat-2338	189	12	cad	cad	PROPN
easat-2338	189	13	german	german	ADJ
easat-2338	189	14	case	case	NOUN
easat-2338	189	15	control	control	NOUN
easat-2338	189	16	data	data	PROPN
easat-2338	189	17	coronary	coronary	ADJ
easat-2338	189	18	artery	artery	NOUN
easat-2338	189	19	disease	disease	NOUN
easat-2338	189	20	(	(	PUNCT
easat-2338	189	21	cad	cad	NOUN
easat-2338	189	22	)	)	PUNCT
easat-2338	189	23	prs	prs	NOUN
easat-2338	189	24	outperformed	outperform	VERB
easat-2338	189	25	all	all	DET
easat-2338	189	26	ml	ml	ADP
easat-2338	189	27	methods	method	NOUN
easat-2338	189	28	proposed	propose	VERB
easat-2338	189	29	prsnn	prsnn	PROPN
easat-2338	189	30	dl	dl	PROPN
easat-2338	189	31	for	for	ADP
easat-2338	189	32	calculat	calculat	NOUN
easat-2338	189	33	ing	ing	NOUN
easat-2338	189	34	prs	prs	NOUN
easat-2338	189	35	genotype	genotype	NOUN
easat-2338	189	36	data	datum	NOUN
easat-2338	189	37	from	from	ADP
easat-2338	189	38	opensnp	opensnp	PROPN
easat-2338	189	39	mental	mental	ADJ
easat-2338	189	40	dis	dis	PROPN
easat-2338	189	41	eases	ease	VERB
easat-2338	189	42	such	such	ADJ
easat-2338	189	43	as	as	ADP
easat-2338	189	44	bipolar	bipolar	ADJ
easat-2338	189	45	disorder	disorder	NOUN
easat-2338	189	46	,	,	PUNCT
easat-2338	189	47	de	de	X
easat-2338	189	48	pression	pression	NOUN
easat-2338	189	49	,	,	PUNCT
easat-2338	189	50	and	and	CCONJ
easat-2338	189	51	panic	panic	NOUN
easat-2338	189	52	disorder	disorder	NOUN
easat-2338	189	53	prsnn	prsnn	NOUN
easat-2338	189	54	performed	perform	VERB
easat-2338	189	55	better	well	ADV
easat-2338	189	56	than	than	ADP
easat-2338	189	57	traditional	traditional	ADJ
easat-2338	189	58	method	method	NOUN
easat-2338	189	59	for	for	ADP
easat-2338	189	60	all	all	DET
easat-2338	189	61	three	three	NUM
easat-2338	189	62	mental	mental	ADJ
easat-2338	189	63	diseases	disease	NOUN
easat-2338	189	64	4	4	NUM
easat-2338	189	65	.	.	PUNCT
easat-2338	189	66	discussion	discussion	NOUN
easat-2338	189	67	in	in	ADP
easat-2338	189	68	this	this	DET
easat-2338	189	69	study	study	NOUN
easat-2338	189	70	,	,	PUNCT
easat-2338	189	71	we	we	PRON
easat-2338	189	72	meticulously	meticulously	ADV
easat-2338	189	73	assessed	assess	VERB
easat-2338	189	74	the	the	DET
easat-2338	189	75	prs	prs	NOUN
easat-2338	189	76	for	for	ADP
easat-2338	189	77	each	each	DET
easat-2338	189	78	individual	individual	NOUN
easat-2338	189	79	utilizing	utilize	VERB
easat-2338	189	80	two	two	NUM
easat-2338	189	81	distinct	distinct	ADJ
easat-2338	189	82	methods	method	NOUN
easat-2338	189	83	:	:	PUNCT
easat-2338	189	84	the	the	DET
easat-2338	189	85	traditional	traditional	ADJ
easat-2338	189	86	method	method	NOUN
easat-2338	189	87	and	and	CCONJ
easat-2338	189	88	a	a	DET
easat-2338	189	89	newly	newly	ADV
easat-2338	189	90	proposed	propose	VERB
easat-2338	189	91	approach	approach	NOUN
easat-2338	189	92	termed	term	VERB
easat-2338	189	93	prsnn	prsnn	NOUN
easat-2338	189	94	.	.	PUNCT
easat-2338	190	1	both	both	DET
easat-2338	190	2	methodologies	methodology	NOUN
easat-2338	190	3	were	be	AUX
easat-2338	190	4	scrutinized	scrutinize	VERB
easat-2338	190	5	for	for	ADP
easat-2338	190	6	their	their	PRON
easat-2338	190	7	ability	ability	NOUN
easat-2338	190	8	to	to	PART
easat-2338	190	9	portray	portray	VERB
easat-2338	190	10	the	the	DET
easat-2338	190	11	distribution	distribution	NOUN
easat-2338	190	12	of	of	ADP
easat-2338	190	13	prs	prs	NOUN
easat-2338	190	14	values	value	NOUN
easat-2338	190	15	accurately	accurately	ADV
easat-2338	190	16	,	,	PUNCT
easat-2338	190	17	with	with	ADP
easat-2338	190	18	outcomes	outcome	NOUN
easat-2338	190	19	indicating	indicate	VERB
easat-2338	190	20	a	a	DET
easat-2338	190	21	normal	normal	ADJ
easat-2338	190	22	distribution	distribution	NOUN
easat-2338	190	23	.	.	PUNCT
easat-2338	191	1	this	this	PRON
easat-2338	191	2	implies	imply	VERB
easat-2338	191	3	that	that	SCONJ
easat-2338	191	4	while	while	SCONJ
easat-2338	191	5	the	the	DET
easat-2338	191	6	majority	majority	NOUN
easat-2338	191	7	of	of	ADP
easat-2338	191	8	individuals	individual	NOUN
easat-2338	191	9	exhibit	exhibit	VERB
easat-2338	191	10	an	an	DET
easat-2338	191	11	average	average	ADJ
easat-2338	191	12	risk	risk	NOUN
easat-2338	191	13	of	of	ADP
easat-2338	191	14	developing	develop	VERB
easat-2338	191	15	bipolar	bipolar	ADJ
easat-2338	191	16	disorder	disorder	NOUN
easat-2338	191	17	,	,	PUNCT
easat-2338	191	18	a	a	DET
easat-2338	191	19	subset	subset	NOUN
easat-2338	191	20	displays	display	NOUN
easat-2338	191	21	either	either	CCONJ
easat-2338	191	22	heightened	heighten	VERB
easat-2338	191	23	or	or	CCONJ
easat-2338	191	24	reduced	reduce	VERB
easat-2338	191	25	risks	risk	NOUN
easat-2338	191	26	contingent	contingent	ADJ
easat-2338	191	27	upon	upon	SCONJ
easat-2338	191	28	their	their	PRON
easat-2338	191	29	prs	prs	NOUN
easat-2338	191	30	.	.	PUNCT
easat-2338	192	1	the	the	DET
easat-2338	192	2	traditional	traditional	ADJ
easat-2338	192	3	method	method	NOUN
easat-2338	192	4	involves	involve	VERB
easat-2338	192	5	assigning	assign	VERB
easat-2338	192	6	weights	weight	NOUN
easat-2338	192	7	to	to	ADP
easat-2338	192	8	individual	individual	ADJ
easat-2338	192	9	genetic	genetic	ADJ
easat-2338	192	10	variants	variant	NOUN
easat-2338	192	11	based	base	VERB
easat-2338	192	12	on	on	ADP
easat-2338	192	13	their	their	PRON
easat-2338	192	14	effect	effect	NOUN
easat-2338	192	15	sizes	size	NOUN
easat-2338	192	16	as	as	SCONJ
easat-2338	192	17	deduced	deduce	VERB
easat-2338	192	18	from	from	ADP
easat-2338	192	19	pgc	pgc	PROPN
easat-2338	192	20	summary	summary	PROPN
easat-2338	192	21	statistics	statistic	NOUN
easat-2338	192	22	data	data	PROPN
easat-2338	192	23	,	,	PUNCT
easat-2338	192	24	then	then	ADV
easat-2338	192	25	aggregating	aggregate	VERB
easat-2338	192	26	the	the	DET
easat-2338	192	27	weighted	weight	VERB
easat-2338	192	28	scores	score	NOUN
easat-2338	192	29	for	for	ADP
easat-2338	192	30	all	all	DET
easat-2338	192	31	variants	variant	NOUN
easat-2338	192	32	.	.	PUNCT
easat-2338	193	1	however	however	ADV
easat-2338	193	2	,	,	PUNCT
easat-2338	193	3	this	this	DET
easat-2338	193	4	method	method	NOUN
easat-2338	193	5	may	may	AUX
easat-2338	193	6	not	not	PART
easat-2338	193	7	account	account	VERB
easat-2338	193	8	for	for	ADP
easat-2338	193	9	the	the	DET
easat-2338	193	10	complex	complex	ADJ
easat-2338	193	11	interactions	interaction	NOUN
easat-2338	193	12	and	and	CCONJ
easat-2338	193	13	dependencies	dependency	NOUN
easat-2338	193	14	among	among	ADP
easat-2338	193	15	the	the	DET
easat-2338	193	16	variants	variant	NOUN
easat-2338	193	17	and	and	CCONJ
easat-2338	193	18	may	may	AUX
easat-2338	193	19	suffer	suffer	VERB
easat-2338	193	20	from	from	ADP
easat-2338	193	21	overfitting	overfitte	VERB
easat-2338	193	22	or	or	CCONJ
easat-2338	193	23	underfitting	underfitting	NOUN
easat-2338	193	24	issues	issue	NOUN
easat-2338	193	25	,	,	PUNCT
easat-2338	193	26	and	and	CCONJ
easat-2338	193	27	explains	explain	VERB
easat-2338	193	28	only	only	ADV
easat-2338	193	29	a	a	DET
easat-2338	193	30	small	small	ADJ
easat-2338	193	31	fraction	fraction	NOUN
easat-2338	193	32	of	of	ADP
easat-2338	193	33	trait	trait	NOUN
easat-2338	193	34	variance	variance	NOUN
easat-2338	193	35	,	,	PUNCT
easat-2338	193	36	and	and	CCONJ
easat-2338	193	37	their	their	PRON
easat-2338	193	38	discriminative	discriminative	NOUN
easat-2338	193	39	ability	ability	NOUN
easat-2338	193	40	is	be	AUX
easat-2338	193	41	low	low	ADJ
easat-2338	193	42	in	in	ADP
easat-2338	193	43	the	the	DET
easat-2338	193	44	general	general	ADJ
easat-2338	193	45	population	population	NOUN
easat-2338	193	46	.	.	PUNCT
easat-2338	194	1	the	the	DET
easat-2338	194	2	technique	technique	NOUN
easat-2338	194	3	prsnn	prsnn	NOUN
easat-2338	194	4	is	be	AUX
easat-2338	194	5	a	a	DET
easat-2338	194	6	novel	novel	ADJ
easat-2338	194	7	approach	approach	NOUN
easat-2338	194	8	that	that	PRON
easat-2338	194	9	determines	determine	VERB
easat-2338	194	10	prs	prs	NOUN
easat-2338	194	11	by	by	ADP
easat-2338	194	12	employing	employ	VERB
easat-2338	194	13	weight	weight	NOUN
easat-2338	194	14	vectors	vector	NOUN
easat-2338	194	15	that	that	PRON
easat-2338	194	16	estimate	estimate	VERB
easat-2338	194	17	the	the	DET
easat-2338	194	18	relevance	relevance	NOUN
easat-2338	194	19	of	of	ADP
easat-2338	194	20	each	each	DET
easat-2338	194	21	snp	snp	NOUN
easat-2338	194	22	,	,	PUNCT
easat-2338	194	23	which	which	PRON
easat-2338	194	24	were	be	AUX
easat-2338	194	25	derived	derive	VERB
easat-2338	194	26	using	use	VERB
easat-2338	194	27	a	a	DET
easat-2338	194	28	deep	deep	ADJ
easat-2338	194	29	learning	learning	NOUN
easat-2338	194	30	model	model	NOUN
easat-2338	194	31	.	.	PUNCT
easat-2338	195	1	this	this	DET
easat-2338	195	2	method	method	NOUN
easat-2338	195	3	can	can	AUX
easat-2338	195	4	handle	handle	VERB
easat-2338	195	5	high	high	ADJ
easat-2338	195	6	-	-	PUNCT
easat-2338	195	7	dimensional	dimensional	ADJ
easat-2338	195	8	data	datum	NOUN
easat-2338	195	9	and	and	CCONJ
easat-2338	195	10	capture	capture	VERB
easat-2338	195	11	non	non	ADJ
easat-2338	195	12	-	-	ADJ
easat-2338	195	13	linear	linear	ADJ
easat-2338	195	14	relationships	relationship	NOUN
easat-2338	195	15	among	among	ADP
easat-2338	195	16	the	the	DET
easat-2338	195	17	variants	variant	NOUN
easat-2338	195	18	.	.	PUNCT
easat-2338	196	1	it	it	PRON
easat-2338	196	2	could	could	AUX
easat-2338	196	3	reduce	reduce	VERB
easat-2338	196	4	the	the	DET
easat-2338	196	5	sample	sample	NOUN
easat-2338	196	6	size	size	NOUN
easat-2338	196	7	.	.	PUNCT
easat-2338	197	1	our	our	PRON
easat-2338	197	2	study	study	NOUN
easat-2338	197	3	has	have	VERB
easat-2338	197	4	some	some	DET
easat-2338	197	5	limitations	limitation	NOUN
easat-2338	197	6	that	that	PRON
easat-2338	197	7	should	should	AUX
easat-2338	197	8	be	be	AUX
easat-2338	197	9	addressed	address	VERB
easat-2338	197	10	in	in	ADP
easat-2338	197	11	subsequent	subsequent	ADJ
easat-2338	197	12	research	research	NOUN
easat-2338	197	13	.	.	PUNCT
easat-2338	198	1	however	however	ADV
easat-2338	198	2	,	,	PUNCT
easat-2338	198	3	a	a	DET
easat-2338	198	4	limitation	limitation	NOUN
easat-2338	198	5	of	of	ADP
easat-2338	198	6	this	this	DET
easat-2338	198	7	study	study	NOUN
easat-2338	198	8	is	be	AUX
easat-2338	198	9	that	that	SCONJ
easat-2338	198	10	we	we	PRON
easat-2338	198	11	did	do	AUX
easat-2338	198	12	not	not	PART
easat-2338	198	13	validate	validate	VERB
easat-2338	198	14	our	our	PRON
easat-2338	198	15	results	result	NOUN
easat-2338	198	16	with	with	ADP
easat-2338	198	17	external	external	ADJ
easat-2338	198	18	data	datum	NOUN
easat-2338	198	19	from	from	ADP
easat-2338	198	20	different	different	ADJ
easat-2338	198	21	ancestries	ancestry	NOUN
easat-2338	198	22	because	because	SCONJ
easat-2338	198	23	the	the	DET
easat-2338	198	24	currently	currently	ADV
easat-2338	198	25	experimented	experiment	VERB
easat-2338	198	26	data	datum	NOUN
easat-2338	198	27	,	,	PUNCT
easat-2338	198	28	i.e.	i.e.	X
easat-2338	198	29	,	,	PUNCT
easat-2338	198	30	pgc	pgc	NOUN
easat-2338	198	31	data	datum	NOUN
easat-2338	198	32	and	and	CCONJ
easat-2338	198	33	the	the	DET
easat-2338	198	34	genotypes	genotype	NOUN
easat-2338	198	35	from	from	ADP
easat-2338	198	36	opensnp	opensnp	NOUN
easat-2338	198	37	,	,	PUNCT
easat-2338	198	38	are	be	AUX
easat-2338	198	39	mostly	mostly	ADV
easat-2338	198	40	of	of	ADP
easat-2338	198	41	european	european	ADJ
easat-2338	198	42	origin	origin	NOUN
easat-2338	198	43	,	,	PUNCT
easat-2338	198	44	which	which	PRON
easat-2338	198	45	may	may	AUX
easat-2338	198	46	limit	limit	VERB
easat-2338	198	47	the	the	DET
easat-2338	198	48	applicability	applicability	NOUN
easat-2338	198	49	and	and	CCONJ
easat-2338	198	50	reliability	reliability	NOUN
easat-2338	198	51	of	of	ADP
easat-2338	198	52	our	our	PRON
easat-2338	198	53	findings	finding	NOUN
easat-2338	198	54	.	.	PUNCT
easat-2338	199	1	in	in	ADP
easat-2338	199	2	the	the	DET
easat-2338	199	3	future	future	NOUN
easat-2338	199	4	,	,	PUNCT
easat-2338	199	5	we	we	PRON
easat-2338	199	6	aim	aim	VERB
easat-2338	199	7	to	to	PART
easat-2338	199	8	explore	explore	VERB
easat-2338	199	9	other	other	ADJ
easat-2338	199	10	populations	population	NOUN
easat-2338	199	11	or	or	CCONJ
easat-2338	199	12	ethnicities	ethnicity	NOUN
easat-2338	199	13	,	,	PUNCT
easat-2338	199	14	such	such	ADJ
easat-2338	199	15	as	as	ADP
easat-2338	199	16	the	the	DET
easat-2338	199	17	arab	arab	PROPN
easat-2338	199	18	,	,	PUNCT
easat-2338	199	19	and	and	CCONJ
easat-2338	199	20	compare	compare	VERB
easat-2338	199	21	the	the	DET
easat-2338	199	22	results	result	NOUN
easat-2338	199	23	to	to	ADP
easat-2338	199	24	those	those	PRON
easat-2338	199	25	of	of	ADP
easat-2338	199	26	this	this	DET
easat-2338	199	27	study	study	NOUN
easat-2338	199	28	,	,	PUNCT
easat-2338	199	29	using	use	VERB
easat-2338	199	30	machine	machine	NOUN
easat-2338	199	31	learning	learning	NOUN
easat-2338	199	32	,	,	PUNCT
easat-2338	199	33	and	and	CCONJ
easat-2338	199	34	we	we	PRON
easat-2338	199	35	will	will	AUX
easat-2338	199	36	include	include	VERB
easat-2338	199	37	the	the	DET
easat-2338	199	38	phenotypes	phenotype	NOUN
easat-2338	199	39	of	of	ADP
easat-2338	199	40	the	the	DET
easat-2338	199	41	individuals	individual	NOUN
easat-2338	199	42	to	to	PART
easat-2338	199	43	understand	understand	VERB
easat-2338	199	44	how	how	SCONJ
easat-2338	199	45	the	the	DET
easat-2338	199	46	prs	prs	NOUN
easat-2338	199	47	and	and	CCONJ
easat-2338	199	48	the	the	DET
easat-2338	199	49	genotype	genotype	NOUN
easat-2338	199	50	influence	influence	NOUN
easat-2338	199	51	the	the	DET
easat-2338	199	52	disease	disease	NOUN
easat-2338	199	53	risk	risk	VERB
easat-2338	199	54	more	more	ADJ
easat-2338	199	55	than	than	ADP
easat-2338	199	56	the	the	DET
easat-2338	199	57	phenotypes	phenotype	NOUN
easat-2338	199	58	or	or	CCONJ
easat-2338	199	59	the	the	DET
easat-2338	199	60	genotypes	genotype	NOUN
easat-2338	199	61	alone	alone	ADV
easat-2338	199	62	,	,	PUNCT
easat-2338	199	63	this	this	PRON
easat-2338	199	64	will	will	AUX
easat-2338	199	65	help	help	VERB
easat-2338	199	66	to	to	PART
easat-2338	199	67	understand	understand	VERB
easat-2338	199	68	how	how	SCONJ
easat-2338	199	69	the	the	DET
easat-2338	199	70	prs	prs	NOUN
easat-2338	199	71	and	and	CCONJ
easat-2338	199	72	the	the	DET
easat-2338	199	73	genotype	genotype	NOUN
easat-2338	199	74	influence	influence	NOUN
easat-2338	199	75	the	the	DET
easat-2338	199	76	disease	disease	NOUN
easat-2338	199	77	risk	risk	NOUN
easat-2338	199	78	1771	1771	NUM
easat-2338	199	79	edelweiss	edelweiss	PROPN
easat-2338	199	80	applied	apply	VERB
easat-2338	199	81	science	science	NOUN
easat-2338	199	82	and	and	CCONJ
easat-2338	199	83	technology	technology	NOUN
easat-2338	199	84	issn	issn	PROPN
easat-2338	199	85	:	:	PUNCT
easat-2338	199	86	2576	2576	NUM
easat-2338	199	87	-	-	SYM
easat-2338	199	88	8484	8484	NUM
easat-2338	199	89	vol	vol	NOUN
easat-2338	199	90	.	.	PROPN
easat-2338	199	91	8	8	NUM
easat-2338	199	92	,	,	PUNCT
easat-2338	199	93	no	no	INTJ
easat-2338	199	94	.	.	NOUN
easat-2338	199	95	6	6	NUM
easat-2338	199	96	:	:	SYM
easat-2338	199	97	1758	1758	NUM
easat-2338	199	98	-	-	SYM
easat-2338	199	99	1773	1773	NUM
easat-2338	199	100	,	,	PUNCT
easat-2338	199	101	2024	2024	NUM
easat-2338	199	102	doi	doi	NOUN
easat-2338	199	103	:	:	PUNCT
easat-2338	199	104	10.55214/25768484.v8i6.2338	10.55214/25768484.v8i6.2338	NUM
easat-2338	199	105	©	©	PROPN
easat-2338	199	106	2024	2024	NUM
easat-2338	199	107	by	by	ADP
easat-2338	199	108	the	the	DET
easat-2338	199	109	authors	author	NOUN
easat-2338	199	110	;	;	PUNCT
easat-2338	199	111	licensee	licensee	PROPN
easat-2338	199	112	learning	learning	NOUN
easat-2338	199	113	gate	gate	NOUN
easat-2338	199	114	more	more	ADJ
easat-2338	199	115	than	than	ADP
easat-2338	199	116	the	the	DET
easat-2338	199	117	phenotypes	phenotype	NOUN
easat-2338	199	118	or	or	CCONJ
easat-2338	199	119	the	the	DET
easat-2338	199	120	genotypes	genotype	NOUN
easat-2338	199	121	alone	alone	ADV
easat-2338	199	122	.	.	PUNCT
easat-2338	200	1	responses	response	NOUN
easat-2338	200	2	(	(	PUNCT
easat-2338	200	3	such	such	ADJ
easat-2338	200	4	as	as	ADP
easat-2338	200	5	disease	disease	NOUN
easat-2338	200	6	outcomes	outcome	NOUN
easat-2338	200	7	)	)	PUNCT
easat-2338	200	8	are	be	AUX
easat-2338	200	9	intricately	intricately	ADV
easat-2338	200	10	linked	link	VERB
easat-2338	200	11	to	to	ADP
easat-2338	200	12	genetic	genetic	ADJ
easat-2338	200	13	data	datum	NOUN
easat-2338	200	14	,	,	PUNCT
easat-2338	200	15	which	which	PRON
easat-2338	200	16	are	be	AUX
easat-2338	200	17	sophisticated	sophisticated	ADJ
easat-2338	200	18	.	.	PUNCT
easat-2338	201	1	research	research	NOUN
easat-2338	201	2	-	-	PUNCT
easat-2338	201	3	based	base	VERB
easat-2338	201	4	case	case	NOUN
easat-2338	201	5	-	-	PUNCT
easat-2338	201	6	control	control	NOUN
easat-2338	201	7	studies	study	NOUN
easat-2338	201	8	using	use	VERB
easat-2338	201	9	prss	prss	NOUN
easat-2338	201	10	have	have	AUX
easat-2338	201	11	shown	show	VERB
easat-2338	201	12	that	that	SCONJ
easat-2338	201	13	the	the	DET
easat-2338	201	14	scores	score	NOUN
easat-2338	201	15	and	and	CCONJ
easat-2338	201	16	disease	disease	NOUN
easat-2338	201	17	status	status	NOUN
easat-2338	201	18	are	be	AUX
easat-2338	201	19	positively	positively	ADV
easat-2338	201	20	correlated	correlate	VERB
easat-2338	201	21	.	.	PUNCT
easat-2338	202	1	these	these	DET
easat-2338	202	2	studies	study	NOUN
easat-2338	202	3	have	have	AUX
easat-2338	202	4	also	also	ADV
easat-2338	202	5	seen	see	VERB
easat-2338	202	6	widespread	widespread	ADJ
easat-2338	202	7	use	use	NOUN
easat-2338	202	8	of	of	ADP
easat-2338	202	9	prss	prss	NOUN
easat-2338	202	10	in	in	ADP
easat-2338	202	11	research	research	NOUN
easat-2338	202	12	investigations	investigation	NOUN
easat-2338	202	13	.	.	PUNCT
easat-2338	203	1	that	that	PRON
easat-2338	203	2	being	be	AUX
easat-2338	203	3	said	say	VERB
easat-2338	203	4	,	,	PUNCT
easat-2338	203	5	there	there	PRON
easat-2338	203	6	is	be	VERB
easat-2338	203	7	still	still	ADV
easat-2338	203	8	much	much	ADJ
easat-2338	203	9	to	to	PART
easat-2338	203	10	learn	learn	VERB
easat-2338	203	11	about	about	ADP
easat-2338	203	12	how	how	SCONJ
easat-2338	203	13	the	the	DET
easat-2338	203	14	genotypeenvironment	genotypeenvironment	NOUN
easat-2338	203	15	interaction	interaction	NOUN
easat-2338	203	16	affects	affect	VERB
easat-2338	203	17	the	the	DET
easat-2338	203	18	functionality	functionality	NOUN
easat-2338	203	19	and	and	CCONJ
easat-2338	203	20	application	application	NOUN
easat-2338	203	21	of	of	ADP
easat-2338	203	22	prs	prs	NOUN
easat-2338	203	23	models	model	NOUN
easat-2338	203	24	.	.	PUNCT
easat-2338	204	1	in	in	ADP
easat-2338	204	2	conclusion	conclusion	NOUN
easat-2338	204	3	,	,	PUNCT
easat-2338	204	4	the	the	DET
easat-2338	204	5	prsnn	prsnn	NOUN
easat-2338	204	6	method	method	NOUN
easat-2338	204	7	holds	hold	VERB
easat-2338	204	8	promise	promise	NOUN
easat-2338	204	9	for	for	ADP
easat-2338	204	10	improving	improve	VERB
easat-2338	204	11	disease	disease	NOUN
easat-2338	204	12	prediction	prediction	NOUN
easat-2338	204	13	and	and	CCONJ
easat-2338	204	14	understanding	understand	VERB
easat-2338	204	15	the	the	DET
easat-2338	204	16	genetic	genetic	ADJ
easat-2338	204	17	underpinnings	underpinning	NOUN
easat-2338	204	18	of	of	ADP
easat-2338	204	19	complex	complex	ADJ
easat-2338	204	20	diseases	disease	NOUN
easat-2338	204	21	.	.	PUNCT
easat-2338	205	1	however	however	ADV
easat-2338	205	2	,	,	PUNCT
easat-2338	205	3	further	further	ADJ
easat-2338	205	4	validation	validation	NOUN
easat-2338	205	5	and	and	CCONJ
easat-2338	205	6	exploration	exploration	NOUN
easat-2338	205	7	of	of	ADP
easat-2338	205	8	its	its	PRON
easat-2338	205	9	potential	potential	NOUN
easat-2338	205	10	across	across	ADP
easat-2338	205	11	diverse	diverse	ADJ
easat-2338	205	12	populations	population	NOUN
easat-2338	205	13	is	be	AUX
easat-2338	205	14	needed	need	VERB
easat-2338	205	15	.	.	PUNCT
easat-2338	206	1	the	the	DET
easat-2338	206	2	use	use	NOUN
easat-2338	206	3	of	of	ADP
easat-2338	206	4	machine	machine	NOUN
easat-2338	206	5	learning	learning	NOUN
easat-2338	206	6	techniques	technique	NOUN
easat-2338	206	7	will	will	AUX
easat-2338	206	8	be	be	AUX
easat-2338	206	9	instrumental	instrumental	ADJ
easat-2338	206	10	in	in	ADP
easat-2338	206	11	this	this	DET
easat-2338	206	12	endeavour	endeavour	NOUN
easat-2338	206	13	,	,	PUNCT
easat-2338	206	14	potentially	potentially	ADV
easat-2338	206	15	leading	lead	VERB
easat-2338	206	16	to	to	ADP
easat-2338	206	17	significant	significant	ADJ
easat-2338	206	18	advancements	advancement	NOUN
easat-2338	206	19	in	in	ADP
easat-2338	206	20	genetic	genetic	ADJ
easat-2338	206	21	studies	study	NOUN
easat-2338	206	22	.	.	PUNCT
easat-2338	207	1	5	5	X
easat-2338	207	2	.	.	X
easat-2338	207	3	conclusion	conclusion	VERB
easat-2338	207	4	the	the	DET
easat-2338	207	5	prsnn	prsnn	NOUN
easat-2338	207	6	method	method	NOUN
easat-2338	207	7	,	,	PUNCT
easat-2338	207	8	as	as	ADP
easat-2338	207	9	a	a	DET
easat-2338	207	10	novel	novel	NOUN
easat-2338	207	11	proposed	propose	VERB
easat-2338	207	12	approach	approach	NOUN
easat-2338	207	13	for	for	ADP
easat-2338	207	14	calculating	calculate	VERB
easat-2338	207	15	prs	prs	NOUN
easat-2338	207	16	,	,	PUNCT
easat-2338	207	17	has	have	AUX
easat-2338	207	18	shown	show	VERB
easat-2338	207	19	promising	promising	ADJ
easat-2338	207	20	results	result	NOUN
easat-2338	207	21	in	in	ADP
easat-2338	207	22	disease	disease	NOUN
easat-2338	207	23	prediction	prediction	NOUN
easat-2338	207	24	.	.	PUNCT
easat-2338	208	1	it	it	PRON
easat-2338	208	2	leverages	leverage	VERB
easat-2338	208	3	machine	machine	NOUN
easat-2338	208	4	learning	learning	NOUN
easat-2338	208	5	,	,	PUNCT
easat-2338	208	6	which	which	PRON
easat-2338	208	7	can	can	AUX
easat-2338	208	8	analyze	analyze	VERB
easat-2338	208	9	large	large	ADJ
easat-2338	208	10	sets	set	NOUN
easat-2338	208	11	of	of	ADP
easat-2338	208	12	genomic	genomic	ADJ
easat-2338	208	13	data	datum	NOUN
easat-2338	208	14	,	,	PUNCT
easat-2338	208	15	making	make	VERB
easat-2338	208	16	it	it	PRON
easat-2338	208	17	an	an	DET
easat-2338	208	18	effective	effective	ADJ
easat-2338	208	19	tool	tool	NOUN
easat-2338	208	20	for	for	ADP
easat-2338	208	21	considering	consider	VERB
easat-2338	208	22	interaction	interaction	NOUN
easat-2338	208	23	and	and	CCONJ
easat-2338	208	24	nonlinear	nonlinear	ADJ
easat-2338	208	25	effects	effect	NOUN
easat-2338	208	26	.	.	PUNCT
easat-2338	209	1	however	however	ADV
easat-2338	209	2	,	,	PUNCT
easat-2338	209	3	the	the	DET
easat-2338	209	4	study	study	NOUN
easat-2338	209	5	has	have	VERB
easat-2338	209	6	some	some	DET
easat-2338	209	7	limitations	limitation	NOUN
easat-2338	209	8	,	,	PUNCT
easat-2338	209	9	like	like	ADP
easat-2338	209	10	a	a	DET
easat-2338	209	11	lack	lack	NOUN
easat-2338	209	12	of	of	ADP
easat-2338	209	13	validation	validation	NOUN
easat-2338	209	14	with	with	ADP
easat-2338	209	15	external	external	ADJ
easat-2338	209	16	data	datum	NOUN
easat-2338	209	17	from	from	ADP
easat-2338	209	18	different	different	ADJ
easat-2338	209	19	ancestries	ancestry	NOUN
easat-2338	209	20	.	.	PUNCT
easat-2338	210	1	future	future	ADJ
easat-2338	210	2	work	work	NOUN
easat-2338	210	3	will	will	AUX
easat-2338	210	4	focus	focus	VERB
easat-2338	210	5	on	on	ADP
easat-2338	210	6	exploring	explore	VERB
easat-2338	210	7	other	other	ADJ
easat-2338	210	8	populations	population	NOUN
easat-2338	210	9	or	or	CCONJ
easat-2338	210	10	ethnicities	ethnicity	NOUN
easat-2338	210	11	using	use	VERB
easat-2338	210	12	machine	machine	NOUN
easat-2338	210	13	learning	learning	NOUN
easat-2338	210	14	.	.	PUNCT
easat-2338	211	1	an	an	DET
easat-2338	211	2	important	important	ADJ
easat-2338	211	3	area	area	NOUN
easat-2338	211	4	that	that	PRON
easat-2338	211	5	still	still	ADV
easat-2338	211	6	needs	need	VERB
easat-2338	211	7	to	to	PART
easat-2338	211	8	be	be	AUX
easat-2338	211	9	investigated	investigate	VERB
easat-2338	211	10	is	be	AUX
easat-2338	211	11	how	how	SCONJ
easat-2338	211	12	genotypeenvironment	genotypeenvironment	ADJ
easat-2338	211	13	interactions	interaction	NOUN
easat-2338	211	14	affect	affect	VERB
easat-2338	211	15	the	the	DET
easat-2338	211	16	functionality	functionality	NOUN
easat-2338	211	17	and	and	CCONJ
easat-2338	211	18	applicability	applicability	NOUN
easat-2338	211	19	of	of	ADP
easat-2338	211	20	prs	prs	NOUN
easat-2338	211	21	models	model	NOUN
easat-2338	211	22	.	.	PUNCT
easat-2338	212	1	leveraging	leverage	VERB
easat-2338	212	2	machine	machine	NOUN
easat-2338	212	3	learning	learning	NOUN
easat-2338	212	4	techniques	technique	NOUN
easat-2338	212	5	will	will	AUX
easat-2338	212	6	play	play	VERB
easat-2338	212	7	a	a	DET
easat-2338	212	8	crucial	crucial	ADJ
easat-2338	212	9	role	role	NOUN
easat-2338	212	10	in	in	ADP
easat-2338	212	11	this	this	DET
easat-2338	212	12	undertaking	undertaking	NOUN
easat-2338	212	13	,	,	PUNCT
easat-2338	212	14	potentially	potentially	ADV
easat-2338	212	15	resulting	result	VERB
easat-2338	212	16	in	in	ADP
easat-2338	212	17	substantial	substantial	ADJ
easat-2338	212	18	progress	progress	NOUN
easat-2338	212	19	within	within	ADP
easat-2338	212	20	the	the	DET
easat-2338	212	21	field	field	NOUN
easat-2338	212	22	of	of	ADP
easat-2338	212	23	genetic	genetic	ADJ
easat-2338	212	24	research	research	NOUN
easat-2338	212	25	.	.	PUNCT
easat-2338	213	1	funding	funding	NOUN
easat-2338	213	2	:	:	PUNCT
easat-2338	213	3	the	the	DET
easat-2338	213	4	king	king	NOUN
easat-2338	213	5	salman	salman	PROPN
easat-2338	213	6	center	center	PROPN
easat-2338	213	7	for	for	ADP
easat-2338	213	8	disability	disability	NOUN
easat-2338	213	9	research	research	NOUN
easat-2338	213	10	provided	provide	VERB
easat-2338	213	11	funding	funding	NOUN
easat-2338	213	12	for	for	ADP
easat-2338	213	13	this	this	DET
easat-2338	213	14	work	work	NOUN
easat-2338	213	15	through	through	ADP
easat-2338	213	16	research	research	NOUN
easat-2338	213	17	group	group	NOUN
easat-2338	213	18	no	no	PRON
easat-2338	214	1	[	[	X
easat-2338	214	2	ksrg-2023	ksrg-2023	NOUN
easat-2338	214	3	-	-	SYM
easat-2338	214	4	438	438	NUM
easat-2338	214	5	]	]	PUNCT
easat-2338	214	6	.	.	PUNCT
easat-2338	215	1	acknowledgements	acknowledgement	NOUN
easat-2338	215	2	:	:	PUNCT
easat-2338	215	3	the	the	DET
easat-2338	215	4	authors	author	NOUN
easat-2338	215	5	would	would	AUX
easat-2338	215	6	like	like	VERB
easat-2338	215	7	to	to	PART
easat-2338	215	8	acknowledge	acknowledge	VERB
easat-2338	215	9	the	the	DET
easat-2338	215	10	artificial	artificial	ADJ
easat-2338	215	11	intelligence	intelligence	NOUN
easat-2338	215	12	centre	centre	NOUN
easat-2338	215	13	at	at	ADP
easat-2338	215	14	alfaisal	alfaisal	NOUN
easat-2338	215	15	university	university	NOUN
easat-2338	215	16	.	.	PUNCT
easat-2338	216	1	the	the	DET
easat-2338	216	2	authors	author	NOUN
easat-2338	216	3	extend	extend	VERB
easat-2338	216	4	their	their	PRON
easat-2338	216	5	appreciation	appreciation	NOUN
easat-2338	216	6	to	to	ADP
easat-2338	216	7	the	the	DET
easat-2338	216	8	king	king	NOUN
easat-2338	216	9	salman	salman	PROPN
easat-2338	216	10	centre	centre	PROPN
easat-2338	216	11	for	for	ADP
easat-2338	216	12	disability	disability	NOUN
easat-2338	216	13	research	research	NOUN
easat-2338	216	14	for	for	ADP
easat-2338	216	15	funding	fund	VERB
easat-2338	216	16	this	this	DET
easat-2338	216	17	work	work	NOUN
easat-2338	216	18	through	through	ADP
easat-2338	216	19	research	research	NOUN
easat-2338	216	20	group	group	NOUN
easat-2338	216	21	ksrg-2023	ksrg-2023	NOUN
easat-2338	216	22	-	-	PUNCT
easat-2338	216	23	438	438	NUM
easat-2338	216	24	.	.	PUNCT
easat-2338	217	1	copyright	copyright	NOUN
easat-2338	217	2	:	:	PUNCT
easat-2338	217	3	©	©	PROPN
easat-2338	217	4	2024	2024	NUM
easat-2338	217	5	by	by	ADP
easat-2338	217	6	the	the	DET
easat-2338	217	7	authors	author	NOUN
easat-2338	217	8	.	.	PUNCT
easat-2338	218	1	this	this	DET
easat-2338	218	2	article	article	NOUN
easat-2338	218	3	is	be	AUX
easat-2338	218	4	an	an	DET
easat-2338	218	5	open	open	ADJ
easat-2338	218	6	access	access	NOUN
easat-2338	218	7	article	article	NOUN
easat-2338	218	8	distributed	distribute	VERB
easat-2338	218	9	under	under	ADP
easat-2338	218	10	the	the	DET
easat-2338	218	11	terms	term	NOUN
easat-2338	218	12	and	and	CCONJ
easat-2338	218	13	conditions	condition	NOUN
easat-2338	218	14	of	of	ADP
easat-2338	218	15	the	the	DET
easat-2338	218	16	creative	creative	ADJ
easat-2338	218	17	commons	common	NOUN
easat-2338	218	18	attribution	attribution	NOUN
easat-2338	218	19	(	(	PUNCT
easat-2338	218	20	cc	cc	NOUN
easat-2338	218	21	by	by	ADP
easat-2338	218	22	)	)	PUNCT
easat-2338	218	23	license	license	NOUN
easat-2338	218	24	(	(	PUNCT
easat-2338	218	25	https://creativecommons.org/licenses/by/4.0/	https://creativecommons.org/licenses/by/4.0/	PROPN
easat-2338	218	26	)	)	PUNCT
easat-2338	218	27	.	.	PUNCT
easat-2338	219	1	references	reference	NOUN
easat-2338	219	2	[	[	X
easat-2338	219	3	1	1	NUM
easat-2338	219	4	]	]	PUNCT
easat-2338	219	5	amit	amit	PROPN
easat-2338	219	6	v	v	PROPN
easat-2338	219	7	khera	khera	PROPN
easat-2338	219	8	,	,	PUNCT
easat-2338	219	9	mark	mark	PROPN
easat-2338	219	10	chaffin	chaffin	PROPN
easat-2338	219	11	,	,	PUNCT
easat-2338	219	12	krishna	krishna	PROPN
easat-2338	219	13	g	g	PROPN
easat-2338	219	14	aragam	aragam	PROPN
easat-2338	219	15	,	,	PUNCT
easat-2338	219	16	mary	mary	PROPN
easat-2338	219	17	e	e	PROPN
easat-2338	219	18	haas	haas	PROPN
easat-2338	219	19	,	,	PUNCT
easat-2338	219	20	carolina	carolina	PROPN
easat-2338	219	21	roselli	roselli	PROPN
easat-2338	219	22	,	,	PUNCT
easat-2338	219	23	seung	seung	PROPN
easat-2338	219	24	hoan	hoan	PROPN
easat-2338	219	25	choi	choi	PROPN
easat-2338	219	26	,	,	PUNCT
easat-2338	219	27	pradeep	pradeep	PROPN
easat-2338	219	28	natarajan	natarajan	PROPN
easat-2338	219	29	,	,	PUNCT
easat-2338	219	30	eric	eric	PROPN
easat-2338	219	31	s	s	PROPN
easat-2338	219	32	lander	lander	PROPN
easat-2338	219	33	,	,	PUNCT
easat-2338	219	34	steven	steven	PROPN
easat-2338	219	35	a	a	DET
easat-2338	219	36	lubitz	lubitz	NOUN
easat-2338	219	37	,	,	PUNCT
easat-2338	219	38	patrick	patrick	PROPN
easat-2338	219	39	t	t	PROPN
easat-2338	219	40	ellinor	ellinor	PROPN
easat-2338	219	41	,	,	PUNCT
easat-2338	219	42	et	et	PROPN
easat-2338	219	43	al	al	PROPN
easat-2338	219	44	.	.	PUNCT
easat-2338	219	45	genome	genome	NOUN
easat-2338	219	46	-	-	PUNCT
easat-2338	219	47	wide	wide	ADJ
easat-2338	219	48	polygenic	polygenic	ADJ
easat-2338	219	49	scores	score	NOUN
easat-2338	219	50	for	for	ADP
easat-2338	219	51	common	common	ADJ
easat-2338	219	52	diseases	disease	NOUN
easat-2338	219	53	identify	identify	VERB
easat-2338	219	54	individuals	individual	NOUN
easat-2338	219	55	with	with	ADP
easat-2338	219	56	risk	risk	NOUN
easat-2338	219	57	equivalent	equivalent	ADJ
easat-2338	219	58	to	to	ADP
easat-2338	219	59	monogenic	monogenic	ADJ
easat-2338	219	60	mutations	mutation	NOUN
easat-2338	219	61	.	.	PUNCT
easat-2338	220	1	nature	nature	NOUN
easat-2338	220	2	genetics	genetic	NOUN
easat-2338	220	3	,	,	PUNCT
easat-2338	220	4	50(9):1219–1224	50(9):1219–1224	NUM
easat-2338	220	5	,	,	PUNCT
easat-2338	220	6	2018	2018	NUM
easat-2338	220	7	.	.	PUNCT
easat-2338	221	1	[	[	X
easat-2338	221	2	2	2	NUM
easat-2338	221	3	]	]	X
easat-2338	221	4	teresa	teresa	PROPN
easat-2338	221	5	morera	morera	PROPN
easat-2338	221	6	-	-	PUNCT
easat-2338	221	7	herreras	herreras	PROPN
easat-2338	221	8	,	,	PUNCT
easat-2338	221	9	cristina	cristina	PROPN
easat-2338	221	10	miguelez	miguelez	PROPN
easat-2338	221	11	,	,	PUNCT
easat-2338	221	12	asier	asier	PROPN
easat-2338	221	13	aristieta	aristieta	PROPN
easat-2338	221	14	,	,	PUNCT
easat-2338	221	15	mar´ıa	mar´ıa	PROPN
easat-2338	221	16	torrecilla	torrecilla	PROPN
easat-2338	221	17	,	,	PUNCT
easat-2338	221	18	ja	ja	PROPN
easat-2338	221	19	ruiz	ruiz	PROPN
easat-2338	221	20	-	-	PUNCT
easat-2338	221	21	ortega	ortega	PROPN
easat-2338	221	22	,	,	PUNCT
easat-2338	221	23	and	and	CCONJ
easat-2338	221	24	luisa	luisa	PROPN
easat-2338	221	25	ugedo	ugedo	PROPN
easat-2338	221	26	.	.	PUNCT
easat-2338	222	1	cannabinoids	cannabinoid	NOUN
easat-2338	222	2	and	and	CCONJ
easat-2338	222	3	motor	motor	NOUN
easat-2338	222	4	control	control	NOUN
easat-2338	222	5	of	of	ADP
easat-2338	222	6	the	the	DET
easat-2338	222	7	basal	basal	ADJ
easat-2338	222	8	ganglia	ganglia	NOUN
easat-2338	222	9	:	:	PUNCT
easat-2338	222	10	therapeutic	therapeutic	ADJ
easat-2338	222	11	potential	potential	NOUN
easat-2338	222	12	in	in	ADP
easat-2338	222	13	movement	movement	NOUN
easat-2338	222	14	disorders	disorder	NOUN
easat-2338	222	15	.	.	PUNCT
easat-2338	223	1	cannabinoids	cannabinoid	NOUN
easat-2338	223	2	in	in	ADP
easat-2338	223	3	health	health	NOUN
easat-2338	223	4	and	and	CCONJ
easat-2338	223	5	disease	disease	NOUN
easat-2338	223	6	,	,	PUNCT
easat-2338	223	7	pages	page	NOUN
easat-2338	223	8	59–92	59–92	NUM
easat-2338	223	9	,	,	PUNCT
easat-2338	223	10	2016	2016	NUM
easat-2338	223	11	.	.	PUNCT
easat-2338	224	1	[	[	X
easat-2338	224	2	3	3	NUM
easat-2338	224	3	]	]	SYM
easat-2338	224	4	gbd	gbd	NOUN
easat-2338	224	5	2019	2019	NUM
easat-2338	224	6	mental	mental	ADJ
easat-2338	224	7	disorders	disorder	NOUN
easat-2338	224	8	collaborators	collaborator	NOUN
easat-2338	224	9	et	et	PROPN
easat-2338	224	10	al	al	PROPN
easat-2338	224	11	.	.	PROPN
easat-2338	225	1	global	global	ADJ
easat-2338	225	2	,	,	PUNCT
easat-2338	225	3	regional	regional	ADJ
easat-2338	225	4	,	,	PUNCT
easat-2338	225	5	and	and	CCONJ
easat-2338	225	6	national	national	ADJ
easat-2338	225	7	burden	burden	NOUN
easat-2338	225	8	of	of	ADP
easat-2338	225	9	12	12	NUM
easat-2338	225	10	mental	mental	ADJ
easat-2338	225	11	disorders	disorder	NOUN
easat-2338	225	12	in	in	ADP
easat-2338	225	13	204	204	NUM
easat-2338	225	14	countries	country	NOUN
easat-2338	225	15	and	and	CCONJ
easat-2338	225	16	territories	territory	NOUN
easat-2338	225	17	,	,	PUNCT
easat-2338	225	18	1990–2019	1990–2019	NUM
easat-2338	225	19	:	:	PUNCT
easat-2338	225	20	a	a	DET
easat-2338	225	21	systematic	systematic	ADJ
easat-2338	225	22	analysis	analysis	NOUN
easat-2338	225	23	for	for	ADP
easat-2338	225	24	the	the	DET
easat-2338	225	25	global	global	ADJ
easat-2338	225	26	burden	burden	NOUN
easat-2338	225	27	of	of	ADP
easat-2338	225	28	disease	disease	NOUN
easat-2338	225	29	study	study	NOUN
easat-2338	225	30	2019	2019	NUM
easat-2338	225	31	.	.	PUNCT
easat-2338	226	1	the	the	DET
easat-2338	226	2	lancet	lancet	PROPN
easat-2338	226	3	psychiatry	psychiatry	NOUN
easat-2338	226	4	,	,	PUNCT
easat-2338	226	5	9(2):137–150	9(2):137–150	NUM
easat-2338	226	6	,	,	PUNCT
easat-2338	226	7	2022	2022	NUM
easat-2338	226	8	.	.	PUNCT
easat-2338	227	1	[	[	X
easat-2338	227	2	4	4	NUM
easat-2338	227	3	]	]	PUNCT
easat-2338	227	4	elizabeth	elizabeth	PROPN
easat-2338	227	5	reisinger	reisinger	PROPN
easat-2338	227	6	walker	walker	PROPN
easat-2338	227	7	,	,	PUNCT
easat-2338	227	8	robin	robin	PROPN
easat-2338	227	9	e	e	PROPN
easat-2338	227	10	mcgee	mcgee	PROPN
easat-2338	227	11	,	,	PUNCT
easat-2338	227	12	and	and	CCONJ
easat-2338	227	13	benjamin	benjamin	PROPN
easat-2338	227	14	g	g	PROPN
easat-2338	227	15	druss	druss	PROPN
easat-2338	227	16	.	.	PUNCT
easat-2338	228	1	mortality	mortality	NOUN
easat-2338	228	2	in	in	ADP
easat-2338	228	3	mental	mental	ADJ
easat-2338	228	4	disorders	disorder	NOUN
easat-2338	228	5	and	and	CCONJ
easat-2338	228	6	global	global	ADJ
easat-2338	228	7	disease	disease	NOUN
easat-2338	228	8	burden	burden	NOUN
easat-2338	228	9	implications	implication	NOUN
easat-2338	228	10	:	:	PUNCT
easat-2338	228	11	a	a	DET
easat-2338	228	12	systematic	systematic	ADJ
easat-2338	228	13	review	review	NOUN
easat-2338	228	14	and	and	CCONJ
easat-2338	228	15	meta	meta	ADJ
easat-2338	228	16	-	-	PUNCT
easat-2338	228	17	analysis	analysis	NOUN
easat-2338	228	18	.	.	PUNCT
easat-2338	229	1	jama	jama	PROPN
easat-2338	229	2	psychiatry	psychiatry	PROPN
easat-2338	229	3	,	,	PUNCT
easat-2338	229	4	72(4):334–341	72(4):334–341	NUM
easat-2338	229	5	,	,	PUNCT
easat-2338	229	6	2015	2015	NUM
easat-2338	229	7	.	.	PUNCT
easat-2338	230	1	[	[	X
easat-2338	230	2	5	5	X
easat-2338	230	3	]	]	X
easat-2338	230	4	martin	martin	PROPN
easat-2338	230	5	knapp	knapp	PROPN
easat-2338	230	6	and	and	CCONJ
easat-2338	230	7	gloria	gloria	PROPN
easat-2338	230	8	wong	wong	PROPN
easat-2338	230	9	.	.	PUNCT
easat-2338	231	1	economics	economic	NOUN
easat-2338	231	2	and	and	CCONJ
easat-2338	231	3	mental	mental	ADJ
easat-2338	231	4	health	health	NOUN
easat-2338	231	5	:	:	PUNCT
easat-2338	231	6	the	the	DET
easat-2338	231	7	current	current	ADJ
easat-2338	231	8	scenario	scenario	NOUN
easat-2338	231	9	.	.	PUNCT
easat-2338	232	1	world	world	NOUN
easat-2338	232	2	psychiatry	psychiatry	PROPN
easat-2338	232	3	,	,	PUNCT
easat-2338	232	4	19(1):3	19(1):3	NUM
easat-2338	232	5	–	–	PUNCT
easat-2338	232	6	14	14	NUM
easat-2338	232	7	,	,	PUNCT
easat-2338	232	8	2020	2020	NUM
easat-2338	232	9	.	.	PUNCT
easat-2338	233	1	[	[	X
easat-2338	233	2	6	6	NUM
easat-2338	233	3	]	]	PUNCT
easat-2338	233	4	zeyu	zeyu	X
easat-2338	233	5	meng	meng	PROPN
easat-2338	233	6	,	,	PUNCT
easat-2338	233	7	huize	huize	VERB
easat-2338	233	8	chen	chen	PROPN
easat-2338	233	9	,	,	PUNCT
easat-2338	233	10	and	and	CCONJ
easat-2338	233	11	shengxi	shengxi	PROPN
easat-2338	233	12	meng	meng	PROPN
easat-2338	233	13	.	.	PUNCT
easat-2338	234	1	the	the	DET
easat-2338	234	2	roles	role	NOUN
easat-2338	234	3	of	of	ADP
easat-2338	234	4	tetramethylpyrazine	tetramethylpyrazine	NOUN
easat-2338	234	5	during	during	ADP
easat-2338	234	6	neurodegenerative	neurodegenerative	ADJ
easat-2338	234	7	disease	disease	NOUN
easat-2338	234	8	.	.	PUNCT
easat-2338	235	1	neurotoxicity	neurotoxicity	NOUN
easat-2338	235	2	research	research	NOUN
easat-2338	235	3	,	,	PUNCT
easat-2338	235	4	39:1665–1677	39:1665–1677	NUM
easat-2338	235	5	,	,	PUNCT
easat-2338	235	6	2021	2021	NUM
easat-2338	235	7	.	.	PUNCT
easat-2338	236	1	[	[	X
easat-2338	236	2	7	7	X
easat-2338	236	3	]	]	X
easat-2338	236	4	ronald	ronald	PROPN
easat-2338	236	5	c	c	PROPN
easat-2338	236	6	kessler	kessler	PROPN
easat-2338	236	7	.	.	PUNCT
easat-2338	237	1	the	the	DET
easat-2338	237	2	epidemiology	epidemiology	NOUN
easat-2338	237	3	of	of	ADP
easat-2338	237	4	dual	dual	ADJ
easat-2338	237	5	diagnosis	diagnosis	NOUN
easat-2338	237	6	.	.	PUNCT
easat-2338	238	1	biological	biological	ADJ
easat-2338	238	2	psychiatry	psychiatry	NOUN
easat-2338	238	3	,	,	PUNCT
easat-2338	238	4	56(10):730–737	56(10):730–737	NUM
easat-2338	238	5	,	,	PUNCT
easat-2338	238	6	2004	2004	NUM
easat-2338	238	7	.	.	PUNCT
easat-2338	239	1	[	[	X
easat-2338	239	2	8	8	X
easat-2338	239	3	]	]	X
easat-2338	239	4	patrick	patrick	PROPN
easat-2338	239	5	w	w	PROPN
easat-2338	239	6	corrigan	corrigan	PROPN
easat-2338	239	7	and	and	CCONJ
easat-2338	239	8	amy	amy	PROPN
easat-2338	239	9	c	c	PROPN
easat-2338	239	10	watson	watson	PROPN
easat-2338	239	11	.	.	PUNCT
easat-2338	240	1	understanding	understand	VERB
easat-2338	240	2	the	the	DET
easat-2338	240	3	impact	impact	NOUN
easat-2338	240	4	of	of	ADP
easat-2338	240	5	stigma	stigma	NOUN
easat-2338	240	6	on	on	ADP
easat-2338	240	7	people	people	NOUN
easat-2338	240	8	with	with	ADP
easat-2338	240	9	mental	mental	ADJ
easat-2338	240	10	illness	illness	NOUN
easat-2338	240	11	.	.	PUNCT
easat-2338	241	1	world	world	NOUN
easat-2338	241	2	psychiatry	psychiatry	PROPN
easat-2338	241	3	,	,	PUNCT
easat-2338	241	4	1(1):16	1(1):16	PROPN
easat-2338	241	5	,	,	PUNCT
easat-2338	241	6	2002	2002	NUM
easat-2338	241	7	.	.	PUNCT
easat-2338	242	1	https://creativecommons.org/licenses/by/4.0/	https://creativecommons.org/licenses/by/4.0/	PROPN
easat-2338	242	2	1772	1772	PROPN
easat-2338	242	3	edelweiss	edelweiss	PROPN
easat-2338	242	4	applied	apply	VERB
easat-2338	242	5	science	science	NOUN
easat-2338	242	6	and	and	CCONJ
easat-2338	242	7	technology	technology	NOUN
easat-2338	242	8	issn	issn	PROPN
easat-2338	242	9	:	:	PUNCT
easat-2338	242	10	2576	2576	NUM
easat-2338	242	11	-	-	SYM
easat-2338	242	12	8484	8484	NUM
easat-2338	242	13	vol	vol	NOUN
easat-2338	242	14	.	.	PROPN
easat-2338	242	15	8	8	NUM
easat-2338	242	16	,	,	PUNCT
easat-2338	242	17	no	no	INTJ
easat-2338	242	18	.	.	NOUN
easat-2338	243	1	6	6	NUM
easat-2338	243	2	:	:	SYM
easat-2338	243	3	1758	1758	NUM
easat-2338	243	4	-	-	SYM
easat-2338	243	5	1773	1773	NUM
easat-2338	243	6	,	,	PUNCT
easat-2338	243	7	2024	2024	NUM
easat-2338	243	8	doi	doi	NOUN
easat-2338	243	9	:	:	PUNCT
easat-2338	243	10	10.55214/25768484.v8i6.2338	10.55214/25768484.v8i6.2338	NUM
easat-2338	243	11	©	©	PROPN
easat-2338	243	12	2024	2024	NUM
easat-2338	243	13	by	by	ADP
easat-2338	243	14	the	the	DET
easat-2338	243	15	authors	author	NOUN
easat-2338	243	16	;	;	PUNCT
easat-2338	243	17	licensee	licensee	PROPN
easat-2338	243	18	learning	learning	NOUN
easat-2338	243	19	gate	gate	NOUN
easat-2338	244	1	[	[	X
easat-2338	244	2	9	9	NUM
easat-2338	244	3	]	]	X
easat-2338	244	4	marc	marc	PROPN
easat-2338	244	5	de	de	PROPN
easat-2338	244	6	hert	hert	PROPN
easat-2338	244	7	,	,	PUNCT
easat-2338	244	8	christoph	christoph	PROPN
easat-2338	244	9	u	u	PROPN
easat-2338	244	10	correll	correll	PROPN
easat-2338	244	11	,	,	PUNCT
easat-2338	244	12	julio	julio	PROPN
easat-2338	244	13	bobes	bobes	PROPN
easat-2338	244	14	,	,	PUNCT
easat-2338	244	15	marcelo	marcelo	PROPN
easat-2338	244	16	cetkovich	cetkovich	PROPN
easat-2338	244	17	-	-	PUNCT
easat-2338	244	18	bakmas	bakmas	PROPN
easat-2338	244	19	,	,	PUNCT
easat-2338	244	20	dan	dan	PROPN
easat-2338	244	21	cohen	cohen	PROPN
easat-2338	244	22	,	,	PUNCT
easat-2338	244	23	itsuo	itsuo	PROPN
easat-2338	244	24	asai	asai	PROPN
easat-2338	244	25	,	,	PUNCT
easat-2338	244	26	johan	johan	PROPN
easat-2338	244	27	detraux	detraux	PROPN
easat-2338	244	28	,	,	PUNCT
easat-2338	244	29	shiv	shiv	PROPN
easat-2338	244	30	gautam	gautam	PROPN
easat-2338	244	31	,	,	PUNCT
easat-2338	244	32	hans	hans	PROPN
easat-2338	244	33	-	-	PUNCT
easat-2338	244	34	jurgen	jurgen	PROPN
easat-2338	244	35	möller	möller	NOUN
easat-2338	244	36	,	,	PUNCT
easat-2338	244	37	[	[	X
easat-2338	244	38	10	10	NUM
easat-2338	244	39	]	]	X
easat-2338	244	40	david	david	PROPN
easat-2338	244	41	m	m	PROPN
easat-2338	244	42	ndetei	ndetei	PROPN
easat-2338	244	43	,	,	PUNCT
easat-2338	244	44	et	et	PROPN
easat-2338	244	45	al	al	PROPN
easat-2338	244	46	.	.	PROPN
easat-2338	244	47	physical	physical	ADJ
easat-2338	244	48	illness	illness	NOUN
easat-2338	244	49	in	in	ADP
easat-2338	244	50	patients	patient	NOUN
easat-2338	244	51	with	with	ADP
easat-2338	244	52	severe	severe	ADJ
easat-2338	244	53	mental	mental	ADJ
easat-2338	244	54	disorders	disorder	NOUN
easat-2338	244	55	.	.	PUNCT
easat-2338	245	1	i.	i.	PROPN
easat-2338	245	2	prevalence	prevalence	PROPN
easat-2338	245	3	,	,	PUNCT
easat-2338	245	4	impact	impact	NOUN
easat-2338	245	5	of	of	ADP
easat-2338	245	6	medications	medication	NOUN
easat-2338	245	7	and	and	CCONJ
easat-2338	245	8	disparities	disparity	NOUN
easat-2338	245	9	in	in	ADP
easat-2338	245	10	health	health	NOUN
easat-2338	245	11	care	care	NOUN
easat-2338	245	12	.	.	PUNCT
easat-2338	246	1	world	world	NOUN
easat-2338	246	2	psychiatry	psychiatry	PROPN
easat-2338	246	3	,	,	PUNCT
easat-2338	246	4	10(1):52	10(1):52	NUM
easat-2338	246	5	,	,	PUNCT
easat-2338	246	6	2011	2011	NUM
easat-2338	246	7	.	.	PUNCT
easat-2338	247	1	[	[	X
easat-2338	247	2	11	11	NUM
easat-2338	247	3	]	]	X
easat-2338	247	4	annette	annette	NOUN
easat-2338	247	5	erlangsen	erlangsen	NOUN
easat-2338	247	6	,	,	PUNCT
easat-2338	247	7	per	per	ADP
easat-2338	247	8	kragh	kragh	PROPN
easat-2338	247	9	andersen	andersen	PROPN
easat-2338	247	10	,	,	PUNCT
easat-2338	247	11	anita	anita	PROPN
easat-2338	247	12	toender	toender	PROPN
easat-2338	247	13	,	,	PUNCT
easat-2338	247	14	thomas	thomas	PROPN
easat-2338	247	15	munk	munk	PROPN
easat-2338	247	16	laursen	laursen	PROPN
easat-2338	247	17	,	,	PUNCT
easat-2338	247	18	merete	merete	VERB
easat-2338	247	19	nordentoft	nordentoft	PROPN
easat-2338	247	20	,	,	PUNCT
easat-2338	247	21	and	and	CCONJ
easat-2338	247	22	vladimir	vladimir	PROPN
easat-2338	247	23	canudas	canudas	PROPN
easat-2338	247	24	-	-	PUNCT
easat-2338	247	25	romo	romo	PROPN
easat-2338	247	26	.	.	PUNCT
easat-2338	248	1	cause	cause	VERB
easat-2338	248	2	-	-	PUNCT
easat-2338	248	3	specific	specific	ADJ
easat-2338	248	4	life	life	NOUN
easat-2338	248	5	-	-	PUNCT
easat-2338	248	6	years	year	NOUN
easat-2338	248	7	lost	lose	VERB
easat-2338	248	8	in	in	ADP
easat-2338	248	9	people	people	NOUN
easat-2338	248	10	with	with	ADP
easat-2338	248	11	mental	mental	ADJ
easat-2338	248	12	disorders	disorder	NOUN
easat-2338	248	13	:	:	PUNCT
easat-2338	248	14	a	a	DET
easat-2338	248	15	nationwide	nationwide	ADJ
easat-2338	248	16	,	,	PUNCT
easat-2338	248	17	registerbased	registerbased	ADJ
easat-2338	248	18	cohort	cohort	NOUN
easat-2338	248	19	study	study	NOUN
easat-2338	248	20	.	.	PUNCT
easat-2338	249	1	the	the	DET
easat-2338	249	2	lancet	lancet	PROPN
easat-2338	249	3	psychiatry	psychiatry	NOUN
easat-2338	249	4	,	,	PUNCT
easat-2338	249	5	4(12):937–945	4(12):937–945	NUM
easat-2338	249	6	,	,	PUNCT
easat-2338	249	7	2017	2017	NUM
easat-2338	249	8	.	.	PUNCT
easat-2338	250	1	[	[	X
easat-2338	250	2	12	12	NUM
easat-2338	250	3	]	]	PUNCT
easat-2338	250	4	laura	laura	PROPN
easat-2338	250	5	ibanez	ibanez	PROPN
easat-2338	250	6	,	,	PUNCT
easat-2338	250	7	fabiana	fabiana	PROPN
easat-2338	250	8	hg	hg	PROPN
easat-2338	250	9	farias	farias	PROPN
easat-2338	250	10	,	,	PUNCT
easat-2338	250	11	umber	umber	PROPN
easat-2338	250	12	dube	dube	PROPN
easat-2338	250	13	,	,	PUNCT
easat-2338	250	14	kathie	kathie	VERB
easat-2338	250	15	a	a	DET
easat-2338	250	16	mihindukulasuriya	mihindukulasuriya	NOUN
easat-2338	250	17	,	,	PUNCT
easat-2338	250	18	and	and	CCONJ
easat-2338	250	19	oscar	oscar	NOUN
easat-2338	250	20	harari	harari	PROPN
easat-2338	250	21	.	.	PUNCT
easat-2338	251	1	polygenic	polygenic	ADJ
easat-2338	251	2	risk	risk	NOUN
easat-2338	251	3	scores	score	NOUN
easat-2338	251	4	in	in	ADP
easat-2338	251	5	neurodegenerative	neurodegenerative	ADJ
easat-2338	251	6	diseases	disease	NOUN
easat-2338	251	7	:	:	PUNCT
easat-2338	251	8	a	a	DET
easat-2338	251	9	review	review	NOUN
easat-2338	251	10	.	.	PUNCT
easat-2338	252	1	current	current	ADJ
easat-2338	252	2	genetic	genetic	ADJ
easat-2338	252	3	medicine	medicine	NOUN
easat-2338	252	4	reports	report	NOUN
easat-2338	252	5	,	,	PUNCT
easat-2338	252	6	7:22–29	7:22–29	NUM
easat-2338	252	7	,	,	PUNCT
easat-2338	252	8	2019	2019	NUM
easat-2338	252	9	.	.	PUNCT
easat-2338	253	1	[	[	X
easat-2338	253	2	13	13	NUM
easat-2338	253	3	]	]	PUNCT
easat-2338	253	4	jennifer	jennifer	NOUN
easat-2338	253	5	a	a	DET
easat-2338	253	6	collister	collister	NOUN
easat-2338	253	7	,	,	PUNCT
easat-2338	253	8	xiaonan	xiaonan	PROPN
easat-2338	253	9	liu	liu	PROPN
easat-2338	253	10	,	,	PUNCT
easat-2338	253	11	and	and	CCONJ
easat-2338	253	12	lei	lei	PROPN
easat-2338	253	13	clifton	clifton	PROPN
easat-2338	253	14	.	.	PUNCT
easat-2338	254	1	calculating	calculate	VERB
easat-2338	254	2	polygenic	polygenic	ADJ
easat-2338	254	3	risk	risk	NOUN
easat-2338	254	4	scores	score	NOUN
easat-2338	254	5	(	(	PUNCT
easat-2338	254	6	prs	prs	NOUN
easat-2338	254	7	)	)	PUNCT
easat-2338	254	8	in	in	ADP
easat-2338	254	9	uk	uk	PROPN
easat-2338	254	10	biobank	biobank	NOUN
easat-2338	254	11	:	:	PUNCT
easat-2338	254	12	a	a	DET
easat-2338	254	13	practical	practical	ADJ
easat-2338	254	14	guide	guide	NOUN
easat-2338	254	15	for	for	ADP
easat-2338	254	16	epidemiologists	epidemiologist	NOUN
easat-2338	254	17	.	.	PUNCT
easat-2338	255	1	frontiers	frontier	NOUN
easat-2338	255	2	in	in	ADP
easat-2338	255	3	genetics	genetic	NOUN
easat-2338	255	4	,	,	PUNCT
easat-2338	255	5	13:818574	13:818574	NUM
easat-2338	255	6	,	,	PUNCT
easat-2338	255	7	2022	2022	NUM
easat-2338	255	8	.	.	PUNCT
easat-2338	256	1	[	[	X
easat-2338	256	2	14	14	NUM
easat-2338	256	3	]	]	X
easat-2338	256	4	mitchell	mitchell	PROPN
easat-2338	256	5	j	j	PROPN
easat-2338	256	6	machiela	machiela	PROPN
easat-2338	256	7	,	,	PUNCT
easat-2338	256	8	chia	chia	NOUN
easat-2338	256	9	-	-	PUNCT
easat-2338	256	10	yen	yen	NOUN
easat-2338	256	11	chen	chen	PROPN
easat-2338	256	12	,	,	PUNCT
easat-2338	256	13	constance	constance	PROPN
easat-2338	256	14	chen	chen	PROPN
easat-2338	256	15	,	,	PUNCT
easat-2338	256	16	stephen	stephen	PROPN
easat-2338	256	17	j	j	PROPN
easat-2338	256	18	chanock	chanock	PROPN
easat-2338	256	19	,	,	PUNCT
easat-2338	256	20	david	david	PROPN
easat-2338	256	21	j	j	PROPN
easat-2338	256	22	hunter	hunter	PROPN
easat-2338	256	23	,	,	PUNCT
easat-2338	256	24	and	and	CCONJ
easat-2338	256	25	peter	peter	PROPN
easat-2338	256	26	kraft	kraft	PROPN
easat-2338	256	27	.	.	PUNCT
easat-2338	257	1	evaluation	evaluation	NOUN
easat-2338	257	2	of	of	ADP
easat-2338	257	3	polygenic	polygenic	ADJ
easat-2338	257	4	risk	risk	NOUN
easat-2338	257	5	scores	score	NOUN
easat-2338	257	6	for	for	ADP
easat-2338	257	7	predicting	predict	VERB
easat-2338	257	8	breast	breast	NOUN
easat-2338	257	9	and	and	CCONJ
easat-2338	257	10	prostate	prostate	NOUN
easat-2338	257	11	cancer	cancer	NOUN
easat-2338	257	12	risk	risk	NOUN
easat-2338	257	13	.	.	PUNCT
easat-2338	258	1	genetic	genetic	ADJ
easat-2338	258	2	epidemiology	epidemiology	NOUN
easat-2338	258	3	,	,	PUNCT
easat-2338	258	4	35(6):506	35(6):506	NUM
easat-2338	258	5	–	–	PUNCT
easat-2338	258	6	514	514	NUM
easat-2338	258	7	,	,	PUNCT
easat-2338	258	8	2011	2011	NUM
easat-2338	258	9	.	.	PUNCT
easat-2338	259	1	[	[	X
easat-2338	259	2	15	15	NUM
easat-2338	259	3	]	]	AUX
easat-2338	259	4	shing	she	VERB
easat-2338	259	5	wan	wan	PROPN
easat-2338	259	6	choi	choi	PROPN
easat-2338	259	7	,	,	PUNCT
easat-2338	259	8	timothy	timothy	PROPN
easat-2338	259	9	shin	shin	PROPN
easat-2338	259	10	-	-	PUNCT
easat-2338	259	11	heng	heng	PROPN
easat-2338	259	12	mak	mak	PROPN
easat-2338	259	13	,	,	PUNCT
easat-2338	259	14	and	and	CCONJ
easat-2338	259	15	paul	paul	PROPN
easat-2338	259	16	f	f	PROPN
easat-2338	259	17	o’reilly	o’reilly	ADV
easat-2338	259	18	.	.	PUNCT
easat-2338	260	1	tutorial	tutorial	NOUN
easat-2338	260	2	:	:	PUNCT
easat-2338	260	3	a	a	DET
easat-2338	260	4	guide	guide	NOUN
easat-2338	260	5	to	to	ADP
easat-2338	260	6	performing	perform	VERB
easat-2338	260	7	polygenic	polygenic	ADJ
easat-2338	260	8	risk	risk	NOUN
easat-2338	260	9	score	score	NOUN
easat-2338	260	10	analyses	analysis	NOUN
easat-2338	260	11	.	.	PUNCT
easat-2338	261	1	nature	nature	NOUN
easat-2338	261	2	protocols	protocol	NOUN
easat-2338	261	3	,	,	PUNCT
easat-2338	261	4	15(9):2759–2772	15(9):2759–2772	NUM
easat-2338	261	5	,	,	PUNCT
easat-2338	261	6	2020	2020	NUM
easat-2338	261	7	.	.	PUNCT
easat-2338	262	1	[	[	X
easat-2338	262	2	16	16	NUM
easat-2338	262	3	]	]	PUNCT
easat-2338	262	4	anubha	anubha	PROPN
easat-2338	262	5	mahajan	mahajan	PROPN
easat-2338	262	6	,	,	PUNCT
easat-2338	262	7	daniel	daniel	PROPN
easat-2338	262	8	taliun	taliun	PROPN
easat-2338	262	9	,	,	PUNCT
easat-2338	262	10	matthias	matthias	PROPN
easat-2338	262	11	thurner	thurner	NOUN
easat-2338	262	12	,	,	PUNCT
easat-2338	262	13	neil	neil	PROPN
easat-2338	262	14	r	r	PROPN
easat-2338	262	15	robertson	robertson	PROPN
easat-2338	262	16	,	,	PUNCT
easat-2338	262	17	jason	jason	PROPN
easat-2338	262	18	m	m	PROPN
easat-2338	262	19	torres	torre	NOUN
easat-2338	262	20	,	,	PUNCT
easat-2338	262	21	n	n	PROPN
easat-2338	262	22	william	william	PROPN
easat-2338	262	23	rayner	rayner	PROPN
easat-2338	262	24	,	,	PUNCT
easat-2338	262	25	anthony	anthony	PROPN
easat-2338	262	26	j	j	PROPN
easat-2338	262	27	payne	payne	PROPN
easat-2338	262	28	,	,	PUNCT
easat-2338	262	29	valgerdur	valgerdur	PROPN
easat-2338	262	30	steinthorsdottir	steinthorsdottir	PROPN
easat-2338	262	31	,	,	PUNCT
easat-2338	262	32	robert	robert	PROPN
easat-2338	262	33	a	a	PROPN
easat-2338	262	34	scott	scott	PROPN
easat-2338	262	35	,	,	PUNCT
easat-2338	262	36	niels	niels	PROPN
easat-2338	262	37	grarup	grarup	PROPN
easat-2338	262	38	,	,	PUNCT
easat-2338	262	39	et	et	PROPN
easat-2338	262	40	al	al	PROPN
easat-2338	262	41	.	.	PUNCT
easat-2338	262	42	fine	fine	ADJ
easat-2338	262	43	-	-	PUNCT
easat-2338	262	44	mapping	mapping	NOUN
easat-2338	262	45	type	type	NOUN
easat-2338	262	46	2	2	NUM
easat-2338	262	47	diabetes	diabetes	NOUN
easat-2338	262	48	loci	locus	NOUN
easat-2338	262	49	to	to	ADP
easat-2338	262	50	single	single	ADJ
easat-2338	262	51	-	-	PUNCT
easat-2338	262	52	variant	variant	NOUN
easat-2338	262	53	resolution	resolution	NOUN
easat-2338	262	54	using	use	VERB
easat-2338	262	55	high	high	ADJ
easat-2338	262	56	-	-	PUNCT
easat-2338	262	57	density	density	NOUN
easat-2338	262	58	imputation	imputation	NOUN
easat-2338	262	59	and	and	CCONJ
easat-2338	262	60	isletspecific	isletspecific	ADJ
easat-2338	262	61	epigenome	epigenome	NOUN
easat-2338	262	62	maps	map	NOUN
easat-2338	262	63	.	.	PUNCT
easat-2338	263	1	nature	nature	NOUN
easat-2338	263	2	genetics	genetic	NOUN
easat-2338	263	3	,	,	PUNCT
easat-2338	263	4	50(11):1505–1513	50(11):1505–1513	NUM
easat-2338	263	5	,	,	PUNCT
easat-2338	263	6	2018	2018	NUM
easat-2338	263	7	.	.	PUNCT
easat-2338	264	1	[	[	X
easat-2338	264	2	17	17	NUM
easat-2338	264	3	]	]	X
easat-2338	264	4	hana	hana	PROPN
easat-2338	264	5	lango	lango	PROPN
easat-2338	264	6	allen	allen	PROPN
easat-2338	264	7	,	,	PUNCT
easat-2338	264	8	karol	karol	PROPN
easat-2338	264	9	estrada	estrada	PROPN
easat-2338	264	10	,	,	PUNCT
easat-2338	264	11	guillaume	guillaume	PROPN
easat-2338	264	12	lettre	lettre	PROPN
easat-2338	264	13	,	,	PUNCT
easat-2338	264	14	sonja	sonja	PROPN
easat-2338	264	15	i	i	PRON
easat-2338	264	16	berndt	berndt	PROPN
easat-2338	264	17	,	,	PUNCT
easat-2338	264	18	michael	michael	PROPN
easat-2338	264	19	n	n	PROPN
easat-2338	264	20	weedon	weedon	PROPN
easat-2338	264	21	,	,	PUNCT
easat-2338	264	22	fernando	fernando	PROPN
easat-2338	264	23	rivadeneira	rivadeneira	PROPN
easat-2338	264	24	,	,	PUNCT
easat-2338	264	25	cristen	cristen	PROPN
easat-2338	264	26	j	j	PROPN
easat-2338	264	27	willer	willer	PROPN
easat-2338	264	28	,	,	PUNCT
easat-2338	264	29	anne	anne	PROPN
easat-2338	264	30	u	u	PROPN
easat-2338	264	31	jackson	jackson	PROPN
easat-2338	264	32	,	,	PUNCT
easat-2338	264	33	sailaja	sailaja	PROPN
easat-2338	264	34	vedantam	vedantam	PROPN
easat-2338	264	35	,	,	PUNCT
easat-2338	264	36	soumya	soumya	PROPN
easat-2338	264	37	raychaudhuri	raychaudhuri	PROPN
easat-2338	264	38	,	,	PUNCT
easat-2338	264	39	et	et	PROPN
easat-2338	264	40	al	al	PROPN
easat-2338	264	41	.	.	PUNCT
easat-2338	265	1	hundreds	hundred	NOUN
easat-2338	265	2	of	of	ADP
easat-2338	265	3	variants	variant	NOUN
easat-2338	265	4	clustered	cluster	VERB
easat-2338	265	5	in	in	ADP
easat-2338	265	6	genomic	genomic	ADJ
easat-2338	265	7	loci	locus	NOUN
easat-2338	265	8	and	and	CCONJ
easat-2338	265	9	biological	biological	ADJ
easat-2338	265	10	pathways	pathway	NOUN
easat-2338	265	11	affect	affect	VERB
easat-2338	265	12	human	human	ADJ
easat-2338	265	13	height	height	NOUN
easat-2338	265	14	.	.	PUNCT
easat-2338	266	1	nature	nature	NOUN
easat-2338	266	2	,	,	PUNCT
easat-2338	266	3	467(7317):832	467(7317):832	X
easat-2338	266	4	–	–	PUNCT
easat-2338	266	5	838	838	NUM
easat-2338	266	6	,	,	PUNCT
easat-2338	266	7	2010	2010	NUM
easat-2338	266	8	.	.	PUNCT
easat-2338	267	1	[	[	X
easat-2338	267	2	18	18	NUM
easat-2338	267	3	]	]	X
easat-2338	267	4	andrew	andrew	PROPN
easat-2338	267	5	t	t	PROPN
easat-2338	267	6	dewan	dewan	PROPN
easat-2338	267	7	.	.	PUNCT
easat-2338	268	1	gene	gene	NOUN
easat-2338	268	2	-	-	PUNCT
easat-2338	268	3	gene	gene	NOUN
easat-2338	268	4	and	and	CCONJ
easat-2338	268	5	gene	gene	NOUN
easat-2338	268	6	-	-	PUNCT
easat-2338	268	7	environment	environment	NOUN
easat-2338	268	8	interactions	interaction	NOUN
easat-2338	268	9	.	.	PUNCT
easat-2338	269	1	genetic	genetic	ADJ
easat-2338	269	2	epidemiology	epidemiology	NOUN
easat-2338	269	3	:	:	PUNCT
easat-2338	269	4	methods	method	NOUN
easat-2338	269	5	and	and	CCONJ
easat-2338	269	6	protocols	protocol	NOUN
easat-2338	269	7	,	,	PUNCT
easat-2338	269	8	pages	page	NOUN
easat-2338	269	9	89–110	89–110	PROPN
easat-2338	269	10	,	,	PUNCT
easat-2338	269	11	2018	2018	NUM
easat-2338	269	12	.	.	PUNCT
easat-2338	270	1	[	[	X
easat-2338	270	2	19	19	NUM
easat-2338	270	3	]	]	X
easat-2338	270	4	james	james	PROPN
easat-2338	270	5	zou	zou	PROPN
easat-2338	270	6	,	,	PUNCT
easat-2338	270	7	mikael	mikael	PROPN
easat-2338	270	8	huss	huss	PROPN
easat-2338	270	9	,	,	PUNCT
easat-2338	270	10	abubakar	abubakar	PROPN
easat-2338	270	11	abid	abid	PROPN
easat-2338	270	12	,	,	PUNCT
easat-2338	270	13	pejman	pejman	ADJ
easat-2338	270	14	mohammadi	mohammadi	NOUN
easat-2338	270	15	,	,	PUNCT
easat-2338	270	16	ali	ali	PROPN
easat-2338	270	17	torkamani	torkamani	PROPN
easat-2338	270	18	,	,	PUNCT
easat-2338	270	19	and	and	CCONJ
easat-2338	270	20	amalio	amalio	PROPN
easat-2338	270	21	telenti	telenti	NOUN
easat-2338	270	22	.	.	PUNCT
easat-2338	271	1	a	a	DET
easat-2338	271	2	primer	primer	NOUN
easat-2338	271	3	on	on	ADP
easat-2338	271	4	deep	deep	ADJ
easat-2338	271	5	learning	learning	NOUN
easat-2338	271	6	in	in	ADP
easat-2338	271	7	genomics	genomics	NOUN
easat-2338	271	8	.	.	PUNCT
easat-2338	272	1	nature	nature	NOUN
easat-2338	272	2	genetics	genetic	NOUN
easat-2338	272	3	,	,	PUNCT
easat-2338	272	4	51(1):12–18	51(1):12–18	NUM
easat-2338	272	5	,	,	PUNCT
easat-2338	272	6	2019	2019	NUM
easat-2338	272	7	.	.	PUNCT
easat-2338	273	1	[	[	X
easat-2338	273	2	20	20	NUM
easat-2338	273	3	]	]	PUNCT
easat-2338	273	4	xiaopu	xiaopu	PROPN
easat-2338	273	5	zhou	zhou	PROPN
easat-2338	273	6	,	,	PUNCT
easat-2338	273	7	yu	yu	PROPN
easat-2338	273	8	chen	chen	PROPN
easat-2338	273	9	,	,	PUNCT
easat-2338	273	10	fanny	fanny	NOUN
easat-2338	273	11	cf	cf	NOUN
easat-2338	273	12	ip	ip	NOUN
easat-2338	273	13	,	,	PUNCT
easat-2338	273	14	yuanbing	yuanbe	VERB
easat-2338	273	15	jiang	jiang	PROPN
easat-2338	273	16	,	,	PUNCT
easat-2338	273	17	han	han	PROPN
easat-2338	273	18	cao	cao	PROPN
easat-2338	273	19	,	,	PUNCT
easat-2338	273	20	ge	ge	PROPN
easat-2338	273	21	lv	lv	PROPN
easat-2338	273	22	,	,	PUNCT
easat-2338	273	23	huan	huan	PROPN
easat-2338	273	24	zhong	zhong	PROPN
easat-2338	273	25	,	,	PUNCT
easat-2338	273	26	jiahang	jiahang	PROPN
easat-2338	273	27	chen	chen	PROPN
easat-2338	273	28	,	,	PUNCT
easat-2338	273	29	tao	tao	PROPN
easat-2338	273	30	ye	ye	PROPN
easat-2338	273	31	,	,	PUNCT
easat-2338	273	32	yuewen	yuewen	NOUN
easat-2338	273	33	chen	chen	PROPN
easat-2338	273	34	,	,	PUNCT
easat-2338	273	35	et	et	PROPN
easat-2338	273	36	al	al	PROPN
easat-2338	273	37	.	.	PUNCT
easat-2338	274	1	deep	deep	ADJ
easat-2338	274	2	learningbased	learningbase	VERB
easat-2338	274	3	polygenic	polygenic	ADJ
easat-2338	274	4	risk	risk	NOUN
easat-2338	274	5	analysis	analysis	NOUN
easat-2338	274	6	for	for	ADP
easat-2338	274	7	alzheimer	alzheimer	PROPN
easat-2338	274	8	’s	’s	PART
easat-2338	274	9	disease	disease	NOUN
easat-2338	274	10	prediction	prediction	NOUN
easat-2338	274	11	.	.	PUNCT
easat-2338	275	1	communications	communication	NOUN
easat-2338	275	2	medicine	medicine	NOUN
easat-2338	275	3	,	,	PUNCT
easat-2338	275	4	3(1):49	3(1):49	NUM
easat-2338	275	5	,	,	PUNCT
easat-2338	275	6	2023	2023	NUM
easat-2338	275	7	.	.	PUNCT
easat-2338	276	1	[	[	X
easat-2338	276	2	21	21	NUM
easat-2338	276	3	]	]	X
easat-2338	276	4	lei	lei	NOUN
easat-2338	276	5	song	song	NOUN
easat-2338	276	6	,	,	PUNCT
easat-2338	276	7	aiyi	aiyi	PROPN
easat-2338	276	8	liu	liu	PROPN
easat-2338	276	9	,	,	PUNCT
easat-2338	276	10	jianxin	jianxin	PROPN
easat-2338	276	11	shi	shi	PROPN
easat-2338	276	12	,	,	PUNCT
easat-2338	276	13	and	and	CCONJ
easat-2338	276	14	molecular	molecular	ADJ
easat-2338	276	15	genetics	genetic	NOUN
easat-2338	276	16	of	of	ADP
easat-2338	276	17	schizophrenia	schizophrenia	PROPN
easat-2338	276	18	consortium	consortium	PROPN
easat-2338	276	19	gejman	gejman	PROPN
easat-2338	276	20	pv	pv	PROPN
easat-2338	276	21	sanders	sanders	PROPN
easat-2338	276	22	ar	ar	PROPN
easat-2338	276	23	duan	duan	PROPN
easat-2338	276	24	j	j	PROPN
easat-2338	276	25	cloninger	cloninger	PROPN
easat-2338	276	26	cr	cr	PROPN
easat-2338	276	27	svrakic	svrakic	VERB
easat-2338	276	28	dm	dm	PROPN
easat-2338	276	29	buccola	buccola	PROPN
easat-2338	276	30	ng	ng	PROPN
easat-2338	276	31	levinson	levinson	PROPN
easat-2338	276	32	df	df	PROPN
easat-2338	276	33	mowry	mowry	PROPN
easat-2338	276	34	bj	bj	ADP
easat-2338	276	35	freedman	freedman	PROPN
easat-2338	276	36	r	r	NOUN
easat-2338	276	37	olincy	olincy	NOUN
easat-2338	277	1	a	a	DET
easat-2338	277	2	amin	amin	NOUN
easat-2338	277	3	f	f	PROPN
easat-2338	277	4	black	black	PROPN
easat-2338	277	5	dw	dw	PROPN
easat-2338	277	6	silverman	silverman	PROPN
easat-2338	277	7	jm	jm	PROPN
easat-2338	277	8	byerley	byerley	PROPN
easat-2338	277	9	wf	wf	PROPN
easat-2338	277	10	.	.	PROPN
easat-2338	277	11	summaryauc	summaryauc	PROPN
easat-2338	277	12	:	:	PUNCT
easat-2338	277	13	a	a	DET
easat-2338	277	14	tool	tool	NOUN
easat-2338	277	15	for	for	ADP
easat-2338	277	16	evaluating	evaluate	VERB
easat-2338	277	17	the	the	DET
easat-2338	277	18	performance	performance	NOUN
easat-2338	277	19	of	of	ADP
easat-2338	277	20	polygenic	polygenic	ADJ
easat-2338	277	21	risk	risk	NOUN
easat-2338	277	22	prediction	prediction	NOUN
easat-2338	277	23	models	model	NOUN
easat-2338	277	24	in	in	ADP
easat-2338	277	25	validation	validation	NOUN
easat-2338	277	26	datasets	dataset	NOUN
easat-2338	277	27	with	with	ADP
easat-2338	277	28	only	only	ADJ
easat-2338	277	29	summary	summary	NOUN
easat-2338	277	30	level	level	NOUN
easat-2338	277	31	statistics	statistic	NOUN
easat-2338	277	32	.	.	PUNCT
easat-2338	278	1	bioinformatics	bioinformatic	NOUN
easat-2338	278	2	,	,	PUNCT
easat-2338	278	3	35(20):4038–4044	35(20):4038–4044	PROPN
easat-2338	278	4	,	,	PUNCT
easat-2338	278	5	2019	2019	NUM
easat-2338	278	6	.	.	PUNCT
easat-2338	279	1	[	[	X
easat-2338	279	2	22	22	NUM
easat-2338	279	3	]	]	PUNCT
easat-2338	279	4	nilanjan	nilanjan	NOUN
easat-2338	279	5	chatterjee	chatterjee	PROPN
easat-2338	279	6	,	,	PUNCT
easat-2338	279	7	bill	bill	NOUN
easat-2338	279	8	wheeler	wheeler	NOUN
easat-2338	279	9	,	,	PUNCT
easat-2338	279	10	joshua	joshua	PROPN
easat-2338	279	11	sampson	sampson	PROPN
easat-2338	279	12	,	,	PUNCT
easat-2338	279	13	patricia	patricia	PROPN
easat-2338	279	14	hartge	hartge	PROPN
easat-2338	279	15	,	,	PUNCT
easat-2338	279	16	stephen	stephen	PROPN
easat-2338	279	17	j	j	PROPN
easat-2338	279	18	chanock	chanock	NOUN
easat-2338	279	19	,	,	PUNCT
easat-2338	279	20	and	and	CCONJ
easat-2338	279	21	ju	ju	PROPN
easat-2338	279	22	-	-	PUNCT
easat-2338	279	23	hyun	hyun	PROPN
easat-2338	279	24	park	park	NOUN
easat-2338	279	25	.	.	PUNCT
easat-2338	280	1	projecting	project	VERB
easat-2338	280	2	the	the	DET
easat-2338	280	3	performance	performance	NOUN
easat-2338	280	4	of	of	ADP
easat-2338	280	5	risk	risk	NOUN
easat-2338	280	6	prediction	prediction	NOUN
easat-2338	280	7	based	base	VERB
easat-2338	280	8	on	on	ADP
easat-2338	280	9	polygenic	polygenic	ADJ
easat-2338	280	10	analyses	analysis	NOUN
easat-2338	280	11	of	of	ADP
easat-2338	280	12	genome	genome	NOUN
easat-2338	280	13	-	-	PUNCT
easat-2338	280	14	wide	wide	ADJ
easat-2338	280	15	association	association	NOUN
easat-2338	280	16	studies	study	NOUN
easat-2338	280	17	.	.	PUNCT
easat-2338	281	1	nature	nature	NOUN
easat-2338	281	2	genetics	genetic	NOUN
easat-2338	281	3	,	,	PUNCT
easat-2338	281	4	45(4):400–405	45(4):400–405	PROPN
easat-2338	281	5	,	,	PUNCT
easat-2338	281	6	2013	2013	NUM
easat-2338	281	7	.	.	PUNCT
easat-2338	282	1	[	[	X
easat-2338	282	2	23	23	NUM
easat-2338	282	3	]	]	X
easat-2338	282	4	louis	louis	PROPN
easat-2338	282	5	lello	lello	PROPN
easat-2338	282	6	,	,	PUNCT
easat-2338	282	7	timothy	timothy	PROPN
easat-2338	282	8	g	g	PROPN
easat-2338	282	9	raben	raben	PROPN
easat-2338	282	10	,	,	PUNCT
easat-2338	282	11	soke	soke	PROPN
easat-2338	282	12	yuen	yuen	PROPN
easat-2338	282	13	yong	yong	PROPN
easat-2338	282	14	,	,	PUNCT
easat-2338	282	15	laurent	laurent	PROPN
easat-2338	282	16	cam	cam	PROPN
easat-2338	282	17	tellier	tellier	PROPN
easat-2338	282	18	,	,	PUNCT
easat-2338	282	19	and	and	CCONJ
easat-2338	282	20	stephen	stephen	PROPN
easat-2338	282	21	dh	dh	PROPN
easat-2338	282	22	hsu	hsu	PROPN
easat-2338	282	23	.	.	PUNCT
easat-2338	283	1	genomic	genomic	ADJ
easat-2338	283	2	prediction	prediction	NOUN
easat-2338	283	3	of	of	ADP
easat-2338	283	4	16	16	NUM
easat-2338	283	5	complex	complex	ADJ
easat-2338	283	6	disease	disease	NOUN
easat-2338	283	7	risks	risk	NOUN
easat-2338	283	8	including	include	VERB
easat-2338	283	9	heart	heart	NOUN
easat-2338	283	10	attack	attack	NOUN
easat-2338	283	11	,	,	PUNCT
easat-2338	283	12	diabetes	diabetes	NOUN
easat-2338	283	13	,	,	PUNCT
easat-2338	283	14	breast	breast	NOUN
easat-2338	283	15	and	and	CCONJ
easat-2338	283	16	prostate	prostate	NOUN
easat-2338	283	17	cancer	cancer	NOUN
easat-2338	283	18	.	.	PUNCT
easat-2338	284	1	scientific	scientific	ADJ
easat-2338	284	2	reports	report	NOUN
easat-2338	284	3	,	,	PUNCT
easat-2338	284	4	9(1):15286	9(1):15286	NUM
easat-2338	284	5	,	,	PUNCT
easat-2338	284	6	2019	2019	NUM
easat-2338	284	7	.	.	PUNCT
easat-2338	285	1	[	[	X
easat-2338	285	2	24	24	NUM
easat-2338	285	3	]	]	X
easat-2338	285	4	andre	andre	PROPN
easat-2338	285	5	esteva	esteva	PROPN
easat-2338	285	6	,	,	PUNCT
easat-2338	285	7	alexandre	alexandre	PROPN
easat-2338	285	8	robicquet	robicquet	PROPN
easat-2338	285	9	,	,	PUNCT
easat-2338	285	10	bharath	bharath	PROPN
easat-2338	285	11	ramsundar	ramsundar	PROPN
easat-2338	285	12	,	,	PUNCT
easat-2338	285	13	volodymyr	volodymyr	PROPN
easat-2338	285	14	kuleshov	kuleshov	PROPN
easat-2338	285	15	,	,	PUNCT
easat-2338	285	16	mark	mark	PROPN
easat-2338	285	17	depristo	depristo	PROPN
easat-2338	285	18	,	,	PUNCT
easat-2338	285	19	katherine	katherine	PROPN
easat-2338	285	20	chou	chou	PROPN
easat-2338	285	21	,	,	PUNCT
easat-2338	285	22	claire	claire	PROPN
easat-2338	285	23	cui	cui	PROPN
easat-2338	285	24	,	,	PUNCT
easat-2338	285	25	greg	greg	PROPN
easat-2338	285	26	corrado	corrado	PROPN
easat-2338	285	27	,	,	PUNCT
easat-2338	285	28	sebastian	sebastian	ADJ
easat-2338	285	29	thrun	thrun	NOUN
easat-2338	285	30	,	,	PUNCT
easat-2338	285	31	and	and	CCONJ
easat-2338	285	32	jeff	jeff	PROPN
easat-2338	285	33	dean	dean	PROPN
easat-2338	285	34	.	.	PUNCT
easat-2338	286	1	a	a	DET
easat-2338	286	2	guide	guide	NOUN
easat-2338	286	3	to	to	ADP
easat-2338	286	4	deep	deep	ADJ
easat-2338	286	5	learning	learning	NOUN
easat-2338	286	6	in	in	ADP
easat-2338	286	7	healthcare	healthcare	PROPN
easat-2338	286	8	.	.	PUNCT
easat-2338	287	1	nature	nature	NOUN
easat-2338	287	2	medicine	medicine	NOUN
easat-2338	287	3	,	,	PUNCT
easat-2338	287	4	25(1):24–29	25(1):24–29	NUM
easat-2338	287	5	,	,	PUNCT
easat-2338	287	6	2019	2019	NUM
easat-2338	287	7	.	.	PUNCT
easat-2338	288	1	[	[	X
easat-2338	288	2	25	25	NUM
easat-2338	288	3	]	]	X
easat-2338	288	4	po	po	PROPN
easat-2338	288	5	-	-	PROPN
easat-2338	288	6	ru	ru	PROPN
easat-2338	288	7	loh	loh	PROPN
easat-2338	288	8	,	,	PUNCT
easat-2338	288	9	george	george	PROPN
easat-2338	288	10	tucker	tucker	PROPN
easat-2338	288	11	,	,	PUNCT
easat-2338	288	12	brendan	brendan	PROPN
easat-2338	288	13	k	k	PROPN
easat-2338	288	14	bulik	bulik	PROPN
easat-2338	288	15	-	-	PUNCT
easat-2338	288	16	sullivan	sullivan	PROPN
easat-2338	288	17	,	,	PUNCT
easat-2338	288	18	bjarni	bjarni	PROPN
easat-2338	288	19	j	j	PROPN
easat-2338	288	20	vilhjá	vilhjá	PROPN
easat-2338	288	21	lmsson	lmsson	PROPN
easat-2338	288	22	,	,	PUNCT
easat-2338	288	23	hilary	hilary	NOUN
easat-2338	288	24	k	k	PROPN
easat-2338	288	25	finucane	finucane	PROPN
easat-2338	288	26	,	,	PUNCT
easat-2338	288	27	rany	rany	NOUN
easat-2338	288	28	m	m	PROPN
easat-2338	288	29	salem	salem	PROPN
easat-2338	288	30	,	,	PUNCT
easat-2338	288	31	daniel	daniel	PROPN
easat-2338	288	32	i	i	PROPN
easat-2338	288	33	chasman	chasman	PROPN
easat-2338	288	34	,	,	PUNCT
easat-2338	288	35	paul	paul	PROPN
easat-2338	288	36	m	m	PROPN
easat-2338	288	37	ridker	ridker	NOUN
easat-2338	288	38	,	,	PUNCT
easat-2338	289	1	benjamin	benjamin	PROPN
easat-2338	289	2	m	m	PROPN
easat-2338	289	3	neale	neale	PROPN
easat-2338	289	4	,	,	PUNCT
easat-2338	289	5	bonnie	bonnie	PROPN
easat-2338	289	6	berger	berger	PROPN
easat-2338	289	7	,	,	PUNCT
easat-2338	289	8	et	et	PROPN
easat-2338	289	9	al	al	PROPN
easat-2338	289	10	.	.	PROPN
easat-2338	290	1	efficient	efficient	ADJ
easat-2338	290	2	bayesian	bayesian	ADJ
easat-2338	290	3	mixed	mix	VERB
easat-2338	290	4	-	-	PUNCT
easat-2338	290	5	model	model	NOUN
easat-2338	290	6	analysis	analysis	NOUN
easat-2338	290	7	increases	increase	VERB
easat-2338	290	8	association	association	NOUN
easat-2338	290	9	power	power	NOUN
easat-2338	290	10	in	in	ADP
easat-2338	290	11	large	large	ADJ
easat-2338	290	12	cohorts	cohort	NOUN
easat-2338	290	13	.	.	PUNCT
easat-2338	291	1	nature	nature	NOUN
easat-2338	291	2	genetics	genetic	NOUN
easat-2338	291	3	,	,	PUNCT
easat-2338	291	4	47(3):284–290	47(3):284–290	NOUN
easat-2338	291	5	,	,	PUNCT
easat-2338	291	6	2015	2015	NUM
easat-2338	291	7	.	.	PUNCT
easat-2338	292	1	[	[	X
easat-2338	292	2	26	26	NUM
easat-2338	292	3	]	]	X
easat-2338	292	4	benjamin	benjamin	PROPN
easat-2338	292	5	shickel	shickel	PROPN
easat-2338	292	6	,	,	PUNCT
easat-2338	292	7	patrick	patrick	PROPN
easat-2338	292	8	james	james	PROPN
easat-2338	292	9	tighe	tighe	PROPN
easat-2338	292	10	,	,	PUNCT
easat-2338	292	11	azra	azra	PROPN
easat-2338	292	12	bihorac	bihorac	PROPN
easat-2338	292	13	,	,	PUNCT
easat-2338	292	14	and	and	CCONJ
easat-2338	292	15	parisa	parisa	NOUN
easat-2338	292	16	rashidi	rashidi	NOUN
easat-2338	292	17	.	.	PUNCT
easat-2338	293	1	deep	deep	ADJ
easat-2338	293	2	ehr	ehr	NOUN
easat-2338	293	3	:	:	PUNCT
easat-2338	293	4	a	a	DET
easat-2338	293	5	survey	survey	NOUN
easat-2338	293	6	of	of	ADP
easat-2338	293	7	recent	recent	ADJ
easat-2338	293	8	advances	advance	NOUN
easat-2338	293	9	in	in	ADP
easat-2338	293	10	deep	deep	ADJ
easat-2338	293	11	learning	learning	NOUN
easat-2338	293	12	techniques	technique	NOUN
easat-2338	293	13	for	for	ADP
easat-2338	293	14	electronic	electronic	ADJ
easat-2338	293	15	health	health	NOUN
easat-2338	293	16	record	record	NOUN
easat-2338	293	17	(	(	PUNCT
easat-2338	293	18	ehr	ehr	NOUN
easat-2338	293	19	)	)	PUNCT
easat-2338	293	20	analysis	analysis	NOUN
easat-2338	293	21	.	.	PUNCT
easat-2338	294	1	ieee	ieee	PROPN
easat-2338	294	2	journal	journal	PROPN
easat-2338	294	3	of	of	ADP
easat-2338	294	4	biomedical	biomedical	ADJ
easat-2338	294	5	and	and	CCONJ
easat-2338	294	6	health	health	NOUN
easat-2338	294	7	informatics	informatic	NOUN
easat-2338	294	8	,	,	PUNCT
easat-2338	294	9	22(5):1589–1604	22(5):1589–1604	NUM
easat-2338	294	10	,	,	PUNCT
easat-2338	294	11	2017	2017	NUM
easat-2338	294	12	.	.	PUNCT
easat-2338	295	1	[	[	X
easat-2338	295	2	27	27	NUM
easat-2338	295	3	]	]	X
easat-2338	295	4	daniel	daniel	PROPN
easat-2338	295	5	sik	sik	PROPN
easat-2338	295	6	wai	wai	PROPN
easat-2338	295	7	ho	ho	PROPN
easat-2338	295	8	,	,	PUNCT
easat-2338	295	9	william	william	PROPN
easat-2338	295	10	schierding	schierding	PROPN
easat-2338	295	11	,	,	PUNCT
easat-2338	295	12	melissa	melissa	PROPN
easat-2338	295	13	wake	wake	PROPN
easat-2338	295	14	,	,	PUNCT
easat-2338	295	15	richard	richard	PROPN
easat-2338	295	16	saffery	saffery	PROPN
easat-2338	295	17	,	,	PUNCT
easat-2338	295	18	and	and	CCONJ
easat-2338	295	19	justin	justin	PROPN
easat-2338	295	20	o’sullivan	o’sullivan	PROPN
easat-2338	295	21	.	.	PUNCT
easat-2338	296	1	machine	machine	NOUN
easat-2338	296	2	learning	learn	VERB
easat-2338	296	3	snp	snp	NOUN
easat-2338	296	4	based	base	VERB
easat-2338	296	5	prediction	prediction	NOUN
easat-2338	296	6	for	for	ADP
easat-2338	296	7	precision	precision	NOUN
easat-2338	296	8	medicine	medicine	NOUN
easat-2338	296	9	.	.	PUNCT
easat-2338	297	1	frontiers	frontier	NOUN
easat-2338	297	2	in	in	ADP
easat-2338	297	3	genetics	genetic	NOUN
easat-2338	297	4	,	,	PUNCT
easat-2338	297	5	10:267	10:267	NUM
easat-2338	297	6	,	,	PUNCT
easat-2338	297	7	2019	2019	NUM
easat-2338	297	8	.	.	PUNCT
easat-2338	298	1	[	[	X
easat-2338	298	2	28	28	NUM
easat-2338	298	3	]	]	X
easat-2338	298	4	psychiatric	psychiatric	ADJ
easat-2338	298	5	gwas	gwas	PROPN
easat-2338	298	6	consortium	consortium	NOUN
easat-2338	298	7	coordinating	coordinate	VERB
easat-2338	298	8	committee	committee	NOUN
easat-2338	298	9	.	.	PUNCT
easat-2338	299	1	genomewide	genomewide	PROPN
easat-2338	299	2	association	association	PROPN
easat-2338	299	3	studies	study	NOUN
easat-2338	299	4	:	:	PUNCT
easat-2338	299	5	history	history	NOUN
easat-2338	299	6	,	,	PUNCT
easat-2338	299	7	rationale	rationale	NOUN
easat-2338	299	8	,	,	PUNCT
easat-2338	299	9	and	and	CCONJ
easat-2338	299	10	prospects	prospect	NOUN
easat-2338	299	11	for	for	ADP
easat-2338	299	12	psychiatric	psychiatric	ADJ
easat-2338	299	13	disorders	disorder	NOUN
easat-2338	299	14	.	.	PUNCT
easat-2338	300	1	american	american	ADJ
easat-2338	300	2	journal	journal	PROPN
easat-2338	300	3	of	of	ADP
easat-2338	300	4	psychiatry	psychiatry	NOUN
easat-2338	300	5	,	,	PUNCT
easat-2338	300	6	166(5):540–556	166(5):540–556	NUM
easat-2338	300	7	,	,	PUNCT
easat-2338	300	8	2009	2009	NUM
easat-2338	300	9	.	.	PUNCT
easat-2338	301	1	[	[	X
easat-2338	301	2	29	29	NUM
easat-2338	301	3	]	]	X
easat-2338	301	4	patrick	patrick	PROPN
easat-2338	301	5	f	f	PROPN
easat-2338	301	6	sullivan	sullivan	PROPN
easat-2338	301	7	,	,	PUNCT
easat-2338	301	8	arpana	arpana	PROPN
easat-2338	301	9	agrawal	agrawal	PROPN
easat-2338	301	10	,	,	PUNCT
easat-2338	301	11	cynthia	cynthia	PROPN
easat-2338	301	12	m	m	PROPN
easat-2338	301	13	bulik	bulik	PROPN
easat-2338	301	14	,	,	PUNCT
easat-2338	301	15	ole	ole	NOUN
easat-2338	301	16	a	a	DET
easat-2338	301	17	andreassen	andreassen	NOUN
easat-2338	301	18	,	,	PUNCT
easat-2338	301	19	anders	anders	PROPN
easat-2338	301	20	d	d	PROPN
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easat-2338	301	22	,	,	PUNCT
easat-2338	301	23	gerome	gerome	PROPN
easat-2338	301	24	breen	breen	PROPN
easat-2338	301	25	,	,	PUNCT
easat-2338	301	26	sven	sven	PROPN
easat-2338	301	27	cichon	cichon	PROPN
easat-2338	301	28	,	,	PUNCT
easat-2338	301	29	howard	howard	PROPN
easat-2338	301	30	j	j	PROPN
easat-2338	301	31	edenberg	edenberg	PROPN
easat-2338	301	32	,	,	PUNCT
easat-2338	301	33	stephen	stephen	NOUN
easat-2338	301	34	v	v	ADP
easat-2338	301	35	faraone	faraone	NOUN
easat-2338	301	36	,	,	PUNCT
easat-2338	301	37	joel	joel	PROPN
easat-2338	301	38	gelernter	gelernter	PROPN
easat-2338	301	39	,	,	PUNCT
easat-2338	301	40	et	et	PROPN
easat-2338	301	41	al	al	PROPN
easat-2338	301	42	.	.	PUNCT
easat-2338	301	43	psychiatric	psychiatric	ADJ
easat-2338	301	44	genomics	genomic	NOUN
easat-2338	301	45	:	:	PUNCT
easat-2338	301	46	an	an	DET
easat-2338	301	47	update	update	NOUN
easat-2338	301	48	and	and	CCONJ
easat-2338	301	49	an	an	DET
easat-2338	301	50	agenda	agenda	NOUN
easat-2338	301	51	.	.	PUNCT
easat-2338	302	1	american	american	PROPN
easat-2338	302	2	journal	journal	PROPN
easat-2338	302	3	of	of	ADP
easat-2338	302	4	psychiatry	psychiatry	NOUN
easat-2338	302	5	,	,	PUNCT
easat-2338	302	6	175(1):15–27	175(1):15–27	NUM
easat-2338	302	7	,	,	PUNCT
easat-2338	302	8	2018	2018	NUM
easat-2338	302	9	.	.	PUNCT
easat-2338	303	1	[	[	X
easat-2338	303	2	30	30	NUM
easat-2338	303	3	]	]	X
easat-2338	303	4	bastian	bastian	PROPN
easat-2338	303	5	greshake	greshake	PROPN
easat-2338	303	6	,	,	PUNCT
easat-2338	303	7	philipp	philipp	PROPN
easat-2338	303	8	e	e	PROPN
easat-2338	303	9	bayer	bayer	PROPN
easat-2338	303	10	,	,	PUNCT
easat-2338	303	11	helge	helge	PROPN
easat-2338	303	12	rausch	rausch	PROPN
easat-2338	303	13	,	,	PUNCT
easat-2338	303	14	and	and	CCONJ
easat-2338	303	15	julia	julia	PROPN
easat-2338	303	16	reda	reda	PROPN
easat-2338	303	17	.	.	PUNCT
easat-2338	304	1	opensnp	opensnp	PROPN
easat-2338	304	2	–	–	PUNCT
easat-2338	304	3	a	a	DET
easat-2338	304	4	crowdsourced	crowdsourced	ADJ
easat-2338	304	5	web	web	NOUN
easat-2338	304	6	resource	resource	NOUN
easat-2338	304	7	for	for	ADP
easat-2338	304	8	personal	personal	ADJ
easat-2338	304	9	genomics	genomic	NOUN
easat-2338	304	10	.	.	PUNCT
easat-2338	305	1	plos	plos	PROPN
easat-2338	305	2	one	one	NUM
easat-2338	305	3	,	,	PUNCT
easat-2338	305	4	9(3	9(3	NUM
easat-2338	305	5	):	):	PUNCT
easat-2338	305	6	e89204	e89204	ADJ
easat-2338	305	7	,	,	PUNCT
easat-2338	305	8	2014	2014	NUM
easat-2338	305	9	.	.	PUNCT
easat-2338	306	1	[	[	X
easat-2338	306	2	31	31	NUM
easat-2338	306	3	]	]	PUNCT
easat-2338	306	4	rajagopal	rajagopal	NOUN
easat-2338	306	5	venkatesaramani	venkatesaramani	NOUN
easat-2338	306	6	,	,	PUNCT
easat-2338	306	7	bradley	bradley	PROPN
easat-2338	306	8	a	a	DET
easat-2338	306	9	malin	malin	PROPN
easat-2338	306	10	,	,	PUNCT
easat-2338	306	11	and	and	CCONJ
easat-2338	306	12	yevgeniy	yevgeniy	ADV
easat-2338	306	13	vorobeychik	vorobeychik	ADJ
easat-2338	306	14	.	.	PUNCT
easat-2338	307	1	re	re	NOUN
easat-2338	308	1	-	-	NOUN
easat-2338	309	1	identification	identification	NOUN
easat-2338	309	2	of	of	ADP
easat-2338	309	3	individuals	individual	NOUN
easat-2338	309	4	in	in	ADP
easat-2338	309	5	genomic	genomic	ADJ
easat-2338	309	6	datasets	dataset	NOUN
easat-2338	309	7	using	use	VERB
easat-2338	309	8	public	public	ADJ
easat-2338	309	9	face	face	NOUN
easat-2338	309	10	images	image	NOUN
easat-2338	309	11	.	.	PUNCT
easat-2338	310	1	science	science	NOUN
easat-2338	310	2	advances	advance	NOUN
easat-2338	310	3	,	,	PUNCT
easat-2338	310	4	7(47	7(47	NUM
easat-2338	310	5	):	):	PUNCT
easat-2338	310	6	eabg3296	eabg3296	NOUN
easat-2338	310	7	,	,	PUNCT
easat-2338	310	8	2021	2021	NUM
easat-2338	310	9	.	.	PUNCT
easat-2338	311	1	[	[	X
easat-2338	311	2	32	32	NUM
easat-2338	311	3	]	]	PUNCT
easat-2338	311	4	niamh	niamh	PROPN
easat-2338	311	5	mullins	mullins	PROPN
easat-2338	311	6	,	,	PUNCT
easat-2338	311	7	andreas	andreas	PROPN
easat-2338	311	8	j	j	PROPN
easat-2338	311	9	forstner	forstner	PROPN
easat-2338	311	10	,	,	PUNCT
easat-2338	311	11	kevin	kevin	PROPN
easat-2338	311	12	s	s	PROPN
easat-2338	311	13	o’connell	o’connell	PROPN
easat-2338	311	14	,	,	PUNCT
easat-2338	311	15	brandon	brandon	PROPN
easat-2338	311	16	coombes	coombes	PROPN
easat-2338	311	17	,	,	PUNCT
easat-2338	311	18	jonathan	jonathan	PROPN
easat-2338	311	19	ri	ri	PROPN
easat-2338	311	20	coleman	coleman	PROPN
easat-2338	311	21	,	,	PUNCT
easat-2338	311	22	zhen	zhen	PROPN
easat-2338	311	23	1773	1773	NUM
easat-2338	311	24	edelweiss	edelweiss	PROPN
easat-2338	311	25	applied	apply	VERB
easat-2338	311	26	science	science	NOUN
easat-2338	311	27	and	and	CCONJ
easat-2338	311	28	technology	technology	NOUN
easat-2338	311	29	issn	issn	PROPN
easat-2338	311	30	:	:	PUNCT
easat-2338	311	31	2576	2576	NUM
easat-2338	311	32	-	-	SYM
easat-2338	311	33	8484	8484	NUM
easat-2338	311	34	vol	vol	NOUN
easat-2338	311	35	.	.	PROPN
easat-2338	311	36	8	8	NUM
easat-2338	311	37	,	,	PUNCT
easat-2338	311	38	no	no	INTJ
easat-2338	311	39	.	.	NOUN
easat-2338	312	1	6	6	NUM
easat-2338	312	2	:	:	SYM
easat-2338	312	3	1758	1758	NUM
easat-2338	312	4	-	-	SYM
easat-2338	312	5	1773	1773	NUM
easat-2338	312	6	,	,	PUNCT
easat-2338	312	7	2024	2024	NUM
easat-2338	312	8	doi	doi	NOUN
easat-2338	312	9	:	:	PUNCT
easat-2338	312	10	10.55214/25768484.v8i6.2338	10.55214/25768484.v8i6.2338	NUM
easat-2338	312	11	©	©	PROPN
easat-2338	312	12	2024	2024	NUM
easat-2338	312	13	by	by	ADP
easat-2338	312	14	the	the	DET
easat-2338	312	15	authors	author	NOUN
easat-2338	312	16	;	;	PUNCT
easat-2338	312	17	licensee	licensee	PROPN
easat-2338	312	18	learning	learning	PROPN
easat-2338	312	19	gate	gate	PROPN
easat-2338	312	20	qiao	qiao	PROPN
easat-2338	312	21	,	,	PUNCT
easat-2338	312	22	thomas	thomas	PROPN
easat-2338	312	23	d	d	PROPN
easat-2338	312	24	als	als	PROPN
easat-2338	312	25	,	,	PUNCT
easat-2338	312	26	tim	tim	PROPN
easat-2338	312	27	b	b	PROPN
easat-2338	312	28	bigdeli	bigdeli	PROPN
easat-2338	312	29	,	,	PUNCT
easat-2338	312	30	sigrid	sigrid	PROPN
easat-2338	312	31	børte	børte	PROPN
easat-2338	312	32	,	,	PUNCT
easat-2338	312	33	julien	julien	PROPN
easat-2338	312	34	bryois	bryois	PROPN
easat-2338	312	35	,	,	PUNCT
easat-2338	312	36	et	et	PROPN
easat-2338	312	37	al	al	PROPN
easat-2338	312	38	.	.	PUNCT
easat-2338	312	39	genome	genome	NOUN
easat-2338	312	40	-	-	PUNCT
easat-2338	312	41	wide	wide	ADJ
easat-2338	312	42	association	association	NOUN
easat-2338	312	43	study	study	NOUN
easat-2338	312	44	of	of	ADP
easat-2338	312	45	more	more	ADJ
easat-2338	312	46	than	than	ADP
easat-2338	312	47	40,000	40,000	NUM
easat-2338	312	48	bipolar	bipolar	ADJ
easat-2338	312	49	disorder	disorder	NOUN
easat-2338	312	50	cases	case	NOUN
easat-2338	312	51	provides	provide	VERB
easat-2338	312	52	new	new	ADJ
easat-2338	312	53	insights	insight	NOUN
easat-2338	312	54	into	into	ADP
easat-2338	312	55	the	the	DET
easat-2338	312	56	underlying	underlie	VERB
easat-2338	312	57	biology	biology	NOUN
easat-2338	312	58	.	.	PUNCT
easat-2338	313	1	nature	nature	NOUN
easat-2338	313	2	genetics	genetic	NOUN
easat-2338	313	3	,	,	PUNCT
easat-2338	313	4	53(6):817–829	53(6):817–829	NUM
easat-2338	313	5	,	,	PUNCT
easat-2338	313	6	2021	2021	NUM
easat-2338	313	7	.	.	PUNCT
easat-2338	314	1	[	[	X
easat-2338	314	2	33	33	NUM
easat-2338	314	3	]	]	PUNCT
easat-2338	314	4	naomi	naomi	NOUN
easat-2338	314	5	r	r	NOUN
easat-2338	314	6	wray	wray	NOUN
easat-2338	314	7	,	,	PUNCT
easat-2338	314	8	stephan	stephan	PROPN
easat-2338	314	9	ripke	ripke	PROPN
easat-2338	314	10	,	,	PUNCT
easat-2338	314	11	manuel	manuel	PROPN
easat-2338	314	12	mattheisen	mattheisen	PROPN
easat-2338	314	13	,	,	PUNCT
easat-2338	314	14	maciej	maciej	PROPN
easat-2338	314	15	trzaskowski	trzaskowski	PROPN
easat-2338	314	16	,	,	PUNCT
easat-2338	314	17	enda	enda	PROPN
easat-2338	314	18	m	m	PROPN
easat-2338	314	19	byrne	byrne	PROPN
easat-2338	314	20	,	,	PUNCT
easat-2338	314	21	abdel	abdel	PROPN
easat-2338	314	22	abdellaoui	abdellaoui	PROPN
easat-2338	314	23	,	,	PUNCT
easat-2338	314	24	mark	mark	PROPN
easat-2338	314	25	j	j	PROPN
easat-2338	314	26	adams	adams	PROPN
easat-2338	314	27	,	,	PUNCT
easat-2338	314	28	esben	esben	PROPN
easat-2338	314	29	agerbo	agerbo	PROPN
easat-2338	314	30	,	,	PUNCT
easat-2338	314	31	tracy	tracy	PROPN
easat-2338	314	32	m	m	PROPN
easat-2338	314	33	air	air	NOUN
easat-2338	314	34	,	,	PUNCT
easat-2338	314	35	till	till	SCONJ
easat-2338	314	36	mf	mf	PROPN
easat-2338	314	37	andlauer	andlauer	PROPN
easat-2338	314	38	,	,	PUNCT
easat-2338	314	39	et	et	PROPN
easat-2338	314	40	al	al	PROPN
easat-2338	314	41	.	.	PUNCT
easat-2338	314	42	genome	genome	NOUN
easat-2338	314	43	-	-	PUNCT
easat-2338	314	44	wide	wide	ADJ
easat-2338	314	45	association	association	NOUN
easat-2338	314	46	analyses	analysis	NOUN
easat-2338	314	47	identify	identify	VERB
easat-2338	314	48	44	44	NUM
easat-2338	314	49	risk	risk	NOUN
easat-2338	314	50	variants	variant	NOUN
easat-2338	314	51	and	and	CCONJ
easat-2338	314	52	refine	refine	VERB
easat-2338	314	53	the	the	DET
easat-2338	314	54	genetic	genetic	ADJ
easat-2338	314	55	architecture	architecture	NOUN
easat-2338	314	56	of	of	ADP
easat-2338	314	57	major	major	ADJ
easat-2338	314	58	depression	depression	NOUN
easat-2338	314	59	.	.	PUNCT
easat-2338	315	1	nature	nature	NOUN
easat-2338	315	2	genetics	genetic	NOUN
easat-2338	315	3	,	,	PUNCT
easat-2338	315	4	50(5):668–681	50(5):668–681	PROPN
easat-2338	315	5	,	,	PUNCT
easat-2338	315	6	2018	2018	NUM
easat-2338	315	7	.	.	PUNCT
easat-2338	316	1	[	[	X
easat-2338	316	2	34	34	NUM
easat-2338	316	3	]	]	PUNCT
easat-2338	316	4	takeshi	takeshi	NOUN
easat-2338	316	5	otowa	otowa	PROPN
easat-2338	316	6	,	,	PUNCT
easat-2338	316	7	karin	karin	PROPN
easat-2338	316	8	hek	hek	PROPN
easat-2338	316	9	,	,	PUNCT
easat-2338	316	10	minyoung	minyoung	PROPN
easat-2338	316	11	lee	lee	PROPN
easat-2338	316	12	,	,	PUNCT
easat-2338	316	13	enda	enda	PROPN
easat-2338	316	14	m	m	PROPN
easat-2338	316	15	byrne	byrne	PROPN
easat-2338	316	16	,	,	PUNCT
easat-2338	316	17	saira	saira	PROPN
easat-2338	316	18	s	s	PROPN
easat-2338	316	19	mirza	mirza	PROPN
easat-2338	316	20	,	,	PUNCT
easat-2338	316	21	michel	michel	PROPN
easat-2338	316	22	g	g	PROPN
easat-2338	316	23	nivard	nivard	PROPN
easat-2338	316	24	,	,	PUNCT
easat-2338	316	25	timothy	timothy	PROPN
easat-2338	316	26	bigdeli	bigdeli	PROPN
easat-2338	316	27	,	,	PUNCT
easat-2338	316	28	steven	steven	PROPN
easat-2338	316	29	h	h	PROPN
easat-2338	316	30	aggen	aggen	PROPN
easat-2338	316	31	,	,	PUNCT
easat-2338	316	32	daniel	daniel	PROPN
easat-2338	316	33	adkins	adkins	PROPN
easat-2338	316	34	,	,	PUNCT
easat-2338	316	35	aaron	aaron	PROPN
easat-2338	316	36	wolen	wolen	PROPN
easat-2338	316	37	,	,	PUNCT
easat-2338	316	38	et	et	PROPN
easat-2338	316	39	al	al	PROPN
easat-2338	316	40	.	.	PUNCT
easat-2338	317	1	meta	meta	VERB
easat-2338	317	2	-	-	PUNCT
easat-2338	317	3	analysis	analysis	NOUN
easat-2338	317	4	of	of	ADP
easat-2338	317	5	genome	genome	NOUN
easat-2338	317	6	-	-	PUNCT
easat-2338	317	7	wide	wide	ADJ
easat-2338	317	8	association	association	NOUN
easat-2338	317	9	studies	study	NOUN
easat-2338	317	10	of	of	ADP
easat-2338	317	11	anxiety	anxiety	NOUN
easat-2338	317	12	disorders	disorder	NOUN
easat-2338	317	13	.	.	PUNCT
easat-2338	318	1	molecular	molecular	ADJ
easat-2338	318	2	psychiatry	psychiatry	NOUN
easat-2338	318	3	,	,	PUNCT
easat-2338	318	4	21(10):1391–1399	21(10):1391–1399	PROPN
easat-2338	318	5	,	,	PUNCT
easat-2338	318	6	2016	2016	NUM
easat-2338	318	7	.	.	PUNCT
easat-2338	319	1	[	[	X
easat-2338	319	2	35	35	NUM
easat-2338	319	3	]	]	X
easat-2338	319	4	giovanni	giovanni	PROPN
easat-2338	319	5	di	di	PROPN
easat-2338	319	6	leo	leo	PROPN
easat-2338	319	7	and	and	CCONJ
easat-2338	319	8	francesco	francesco	PROPN
easat-2338	319	9	sardanelli	sardanelli	PROPN
easat-2338	319	10	.	.	PUNCT
easat-2338	320	1	statistical	statistical	ADJ
easat-2338	320	2	significance	significance	NOUN
easat-2338	320	3	:	:	PUNCT
easat-2338	320	4	p	p	NOUN
easat-2338	320	5	value	value	NOUN
easat-2338	320	6	,	,	PUNCT
easat-2338	320	7	[	[	X
easat-2338	320	8	36	36	NUM
easat-2338	320	9	]	]	SYM
easat-2338	320	10	0.05	0.05	NUM
easat-2338	320	11	threshold	threshold	NOUN
easat-2338	320	12	,	,	PUNCT
easat-2338	320	13	and	and	CCONJ
easat-2338	320	14	applications	application	NOUN
easat-2338	320	15	to	to	ADP
easat-2338	320	16	radiomics	radiomic	NOUN
easat-2338	320	17	—	—	PUNCT
easat-2338	320	18	reasons	reason	NOUN
easat-2338	320	19	for	for	ADP
easat-2338	320	20	a	a	DET
easat-2338	320	21	conservative	conservative	ADJ
easat-2338	320	22	approach	approach	NOUN
easat-2338	320	23	.	.	PUNCT
easat-2338	321	1	european	european	ADJ
easat-2338	321	2	radiology	radiology	PROPN
easat-2338	321	3	experimental	experimental	NOUN
easat-2338	321	4	,	,	PUNCT
easat-2338	321	5	4:1–8	4:1–8	NUM
easat-2338	321	6	,	,	PUNCT
easat-2338	321	7	2020	2020	NUM
easat-2338	321	8	.	.	PUNCT
easat-2338	322	1	[	[	X
easat-2338	322	2	37	37	NUM
easat-2338	322	3	]	]	X
easat-2338	322	4	gavin	gavin	PROPN
easat-2338	322	5	hackeling	hackeling	PROPN
easat-2338	322	6	.	.	PUNCT
easat-2338	323	1	mastering	master	VERB
easat-2338	323	2	machine	machine	NOUN
easat-2338	323	3	learning	learn	VERB
easat-2338	323	4	with	with	ADP
easat-2338	323	5	scikit	scikit	NOUN
easat-2338	323	6	-	-	PUNCT
easat-2338	323	7	learn	learn	NOUN
easat-2338	323	8	.	.	PUNCT
easat-2338	324	1	packt	packt	PROPN
easat-2338	324	2	publishing	publishing	PROPN
easat-2338	324	3	ltd	ltd	PROPN
easat-2338	324	4	,	,	PUNCT
easat-2338	324	5	2017	2017	NUM
easat-2338	324	6	.	.	PUNCT
easat-2338	325	1	[	[	X
easat-2338	325	2	38	38	NUM
easat-2338	325	3	]	]	X
easat-2338	325	4	scott	scott	PROPN
easat-2338	325	5	m	m	PROPN
easat-2338	325	6	lundberg	lundberg	PROPN
easat-2338	325	7	and	and	CCONJ
easat-2338	325	8	su	su	PROPN
easat-2338	325	9	-	-	PUNCT
easat-2338	325	10	in	in	ADP
easat-2338	325	11	lee	lee	PROPN
easat-2338	325	12	.	.	PUNCT
easat-2338	326	1	a	a	DET
easat-2338	326	2	unified	unified	ADJ
easat-2338	326	3	approach	approach	NOUN
easat-2338	326	4	to	to	ADP
easat-2338	326	5	interpreting	interpret	VERB
easat-2338	326	6	model	model	NOUN
easat-2338	326	7	predictions	prediction	NOUN
easat-2338	326	8	.	.	PUNCT
easat-2338	327	1	advances	advance	NOUN
easat-2338	327	2	in	in	ADP
easat-2338	327	3	neural	neural	ADJ
easat-2338	327	4	information	information	NOUN
easat-2338	327	5	processing	processing	NOUN
easat-2338	327	6	systems	system	NOUN
easat-2338	327	7	,	,	PUNCT
easat-2338	327	8	30	30	NUM
easat-2338	327	9	,	,	PUNCT
easat-2338	327	10	2017	2017	NUM
easat-2338	327	11	.	.	PUNCT
easat-2338	328	1	[	[	X
easat-2338	328	2	39	39	NUM
easat-2338	328	3	]	]	PUNCT
easat-2338	328	4	wonil	wonil	NOUN
easat-2338	328	5	chung	chung	PROPN
easat-2338	328	6	.	.	PUNCT
easat-2338	329	1	statistical	statistical	ADJ
easat-2338	329	2	models	model	NOUN
easat-2338	329	3	and	and	CCONJ
easat-2338	329	4	computational	computational	ADJ
easat-2338	329	5	tools	tool	NOUN
easat-2338	329	6	for	for	ADP
easat-2338	329	7	predicting	predict	VERB
easat-2338	329	8	complex	complex	ADJ
easat-2338	329	9	traits	trait	NOUN
easat-2338	329	10	and	and	CCONJ
easat-2338	329	11	diseases	disease	NOUN
easat-2338	329	12	.	.	PUNCT
easat-2338	330	1	genomics	genomic	NOUN
easat-2338	330	2	&	&	CCONJ
easat-2338	330	3	informatics	informatics	PROPN
easat-2338	330	4	,	,	PUNCT
easat-2338	330	5	19(4	19(4	PROPN
easat-2338	330	6	)	)	PUNCT
easat-2338	330	7	,	,	PUNCT
easat-2338	330	8	2021	2021	NUM
easat-2338	330	9	.	.	PUNCT
easat-2338	331	1	[	[	X
easat-2338	331	2	40	40	NUM
easat-2338	331	3	]	]	PUNCT
easat-2338	331	4	ragip	ragip	NOUN
easat-2338	331	5	onur	onur	PROPN
easat-2338	331	6	ö	ö	SYM
easat-2338	331	7	ztornaci	ztornaci	NOUN
easat-2338	331	8	,	,	PUNCT
easat-2338	331	9	erdal	erdal	PROPN
easat-2338	331	10	coşgun	coşgun	PROPN
easat-2338	331	11	,	,	PUNCT
easat-2338	331	12	cemil	cemil	PROPN
easat-2338	331	13	ç	ç	ADP
easat-2338	331	14	olak	olak	ADJ
easat-2338	331	15	,	,	PUNCT
easat-2338	331	16	and	and	CCONJ
easat-2338	331	17	bahar	bahar	PROPN
easat-2338	331	18	taşdelen	taşdelen	PROPN
easat-2338	331	19	.	.	PROPN
easat-2338	331	20	prediction	prediction	NOUN
easat-2338	331	21	of	of	ADP
easat-2338	331	22	polygenic	polygenic	ADJ
easat-2338	331	23	risk	risk	NOUN
easat-2338	331	24	score	score	NOUN
easat-2338	331	25	by	by	ADP
easat-2338	331	26	machine	machine	NOUN
easat-2338	331	27	learning	learning	NOUN
easat-2338	331	28	and	and	CCONJ
easat-2338	331	29	deep	deep	ADJ
easat-2338	331	30	learning	learning	NOUN
easat-2338	331	31	methods	method	NOUN
easat-2338	331	32	in	in	ADP
easat-2338	331	33	genome	genome	NOUN
easat-2338	331	34	-	-	PUNCT
easat-2338	331	35	wide	wide	ADJ
easat-2338	331	36	association	association	NOUN
easat-2338	331	37	studies	study	NOUN
easat-2338	331	38	.	.	PUNCT
easat-2338	332	1	biorxiv	biorxiv	PROPN
easat-2338	332	2	,	,	PUNCT
easat-2338	332	3	pages	page	NOUN
easat-2338	332	4	2022–12	2022–12	NUM
easat-2338	332	5	,	,	PUNCT
easat-2338	332	6	2023	2023	NUM
easat-2338	332	7	.	.	PUNCT
easat-2338	333	1	[	[	X
easat-2338	333	2	41	41	NUM
easat-2338	333	3	]	]	X
easat-2338	333	4	jiajie	jiajie	PROPN
easat-2338	333	5	peng	peng	PROPN
easat-2338	333	6	,	,	PUNCT
easat-2338	333	7	jingyi	jingyi	PROPN
easat-2338	333	8	li	li	PROPN
easat-2338	333	9	,	,	PUNCT
easat-2338	333	10	ruijiang	ruijiang	PROPN
easat-2338	333	11	han	han	PROPN
easat-2338	333	12	,	,	PUNCT
easat-2338	333	13	yuxian	yuxian	PROPN
easat-2338	333	14	wang	wang	PROPN
easat-2338	333	15	,	,	PUNCT
easat-2338	333	16	lu	lu	PROPN
easat-2338	333	17	han	han	PROPN
easat-2338	333	18	,	,	PUNCT
easat-2338	333	19	jinghao	jinghao	PROPN
easat-2338	333	20	peng	peng	PROPN
easat-2338	333	21	,	,	PUNCT
easat-2338	333	22	tao	tao	PROPN
easat-2338	333	23	wang	wang	PROPN
easat-2338	333	24	,	,	PUNCT
easat-2338	333	25	jiaoye	jiaoye	PROPN
easat-2338	333	26	hao	hao	PROPN
easat-2338	333	27	,	,	PUNCT
easat-2338	333	28	xuequn	xuequn	PROPN
easat-2338	333	29	shang	shang	PROPN
easat-2338	333	30	,	,	PUNCT
easat-2338	333	31	and	and	CCONJ
easat-2338	333	32	zhongyu	zhongyu	PROPN
easat-2338	333	33	wei	wei	PROPN
easat-2338	333	34	.	.	PUNCT
easat-2338	334	1	a	a	DET
easat-2338	334	2	deep	deep	ADJ
easat-2338	334	3	learningbased	learningbase	VERB
easat-2338	334	4	genome	genome	NOUN
easat-2338	334	5	-	-	PUNCT
easat-2338	334	6	wide	wide	ADJ
easat-2338	334	7	polygenic	polygenic	ADJ
easat-2338	334	8	risk	risk	NOUN
easat-2338	334	9	score	score	NOUN
easat-2338	334	10	for	for	ADP
easat-2338	334	11	common	common	ADJ
easat-2338	334	12	diseases	disease	NOUN
easat-2338	334	13	identifies	identify	VERB
easat-2338	334	14	individuals	individual	NOUN
easat-2338	334	15	with	with	ADP
easat-2338	334	16	risk	risk	NOUN
easat-2338	334	17	.	.	PUNCT
easat-2338	335	1	11	11	NUM
easat-2338	335	2	2021	2021	NUM
easat-2338	335	3	.	.	PUNCT
easat-2338	336	1	[	[	X
easat-2338	336	2	42	42	NUM
easat-2338	336	3	]	]	PUNCT
easat-2338	336	4	r.	r.	PROPN
easat-2338	336	5	onur	onur	PROPN
easat-2338	336	6	ö	ö	PROPN
easat-2338	336	7	ztornaci	ztornaci	NOUN
easat-2338	336	8	,	,	PUNCT
easat-2338	336	9	erdal	erdal	PROPN
easat-2338	336	10	coşgun	coşgun	PROPN
easat-2338	336	11	,	,	PUNCT
easat-2338	336	12	cemil	cemil	PROPN
easat-2338	336	13	ç	ç	ADP
easat-2338	336	14	olak	olak	ADJ
easat-2338	336	15	,	,	PUNCT
easat-2338	336	16	and	and	CCONJ
easat-2338	336	17	bahar	bahar	PROPN
easat-2338	336	18	taşdelen	taşdelen	PROPN
easat-2338	336	19	.	.	PROPN
easat-2338	336	20	prediction	prediction	NOUN
easat-2338	336	21	of	of	ADP
easat-2338	336	22	polygenic	polygenic	ADJ
easat-2338	336	23	risk	risk	NOUN
easat-2338	336	24	score	score	NOUN
easat-2338	336	25	by	by	ADP
easat-2338	336	26	machine	machine	NOUN
easat-2338	336	27	learning	learning	NOUN
easat-2338	336	28	and	and	CCONJ
easat-2338	336	29	deep	deep	ADJ
easat-2338	336	30	learning	learning	NOUN
easat-2338	336	31	methods	method	NOUN
easat-2338	336	32	in	in	ADP
easat-2338	336	33	genome	genome	NOUN
easat-2338	336	34	-	-	PUNCT
easat-2338	336	35	wide	wide	ADJ
easat-2338	336	36	association	association	NOUN
easat-2338	336	37	studies	study	NOUN
easat-2338	336	38	.	.	PUNCT
easat-2338	337	1	biorxiv	biorxiv	NOUN
easat-2338	337	2	,	,	PUNCT
easat-2338	337	3	2023	2023	NUM
easat-2338	337	4	.	.	PUNCT
easat-2338	338	1	[	[	X
easat-2338	338	2	43	43	NUM
easat-2338	338	3	]	]	X
easat-2338	338	4	muhammad	muhammad	PROPN
easat-2338	338	5	muneeb	muneeb	PROPN
easat-2338	338	6	,	,	PUNCT
easat-2338	338	7	samuel	samuel	PROPN
easat-2338	338	8	feng	feng	PROPN
easat-2338	338	9	,	,	PUNCT
easat-2338	338	10	and	and	CCONJ
easat-2338	338	11	andreas	andreas	PROPN
easat-2338	338	12	henschel	henschel	PROPN
easat-2338	338	13	.	.	PUNCT
easat-2338	339	1	an	an	DET
easat-2338	339	2	empirical	empirical	ADJ
easat-2338	339	3	comparison	comparison	NOUN
easat-2338	339	4	between	between	ADP
easat-2338	339	5	polygenic	polygenic	ADJ
easat-2338	339	6	risk	risk	NOUN
easat-2338	339	7	scores	score	NOUN
easat-2338	339	8	and	and	CCONJ
easat-2338	339	9	machine	machine	NOUN
easat-2338	339	10	learning	learn	VERB
easat-2338	339	11	for	for	ADP
easat-2338	339	12	case	case	NOUN
easat-2338	339	13	/	/	SYM
easat-2338	339	14	control	control	NOUN
easat-2338	339	15	classification	classification	NOUN
easat-2338	339	16	.	.	PUNCT
easat-2338	340	1	01	01	NUM
easat-2338	340	2	2022	2022	NUM
easat-2338	340	3	.	.	PUNCT
easat-2338	341	1	[	[	X
easat-2338	341	2	44	44	NUM
easat-2338	341	3	]	]	X
easat-2338	341	4	damian	damian	PROPN
easat-2338	341	5	gola	gola	PROPN
easat-2338	341	6	,	,	PUNCT
easat-2338	341	7	jeannette	jeannette	PROPN
easat-2338	341	8	erdmann	erdmann	PROPN
easat-2338	341	9	,	,	PUNCT
easat-2338	341	10	bertram	bertram	PROPN
easat-2338	341	11	müller	müller	NOUN
easat-2338	341	12	-	-	PUNCT
easat-2338	341	13	myhsok	myhsok	NOUN
easat-2338	341	14	,	,	PUNCT
easat-2338	341	15	heribert	heribert	NOUN
easat-2338	341	16	schunkert	schunkert	NOUN
easat-2338	341	17	,	,	PUNCT
easat-2338	341	18	and	and	CCONJ
easat-2338	341	19	inke	inke	PROPN
easat-2338	341	20	könig	könig	PROPN
easat-2338	341	21	.	.	PUNCT
easat-2338	342	1	polygenic	polygenic	ADJ
easat-2338	342	2	risk	risk	NOUN
easat-2338	342	3	scores	score	VERB
easat-2338	342	4	outperform	outperform	ADJ
easat-2338	342	5	machine	machine	NOUN
easat-2338	342	6	learning	learning	NOUN
easat-2338	342	7	methods	method	NOUN
easat-2338	342	8	in	in	ADP
easat-2338	342	9	predicting	predict	VERB
easat-2338	342	10	coronary	coronary	ADJ
easat-2338	342	11	artery	artery	NOUN
easat-2338	342	12	disease	disease	NOUN
easat-2338	342	13	status	status	NOUN
easat-2338	342	14	.	.	PUNCT
easat-2338	343	1	genetic	genetic	ADJ
easat-2338	343	2	epidemiology	epidemiology	NOUN
easat-2338	343	3	,	,	PUNCT
easat-2338	343	4	44	44	NUM
easat-2338	343	5	,	,	PUNCT
easat-2338	343	6	01	01	NUM
easat-2338	343	7	2020	2020	NUM
easat-2338	343	8	.	.	PUNCT