Agricultural and Food Science, vol 20 (2011): 143-150


A G R I C U L T U R A L  A N D  F O O D  S C I E N C E

Vol. 20(2011): 143–150.

143

© Agricultural and Food Science 
Manuscript received August 2010

Comparison of different DNA extraction methods 
from hair root follicles to genotype Finnish Landrace 

boars with the Illumina PorcineSNP60 BeadChip
Anu Sironen*, Pekka Uimari, Johanna Vilkki

MTT Agrifood Research Finland, Biotechnology and Food Research, FI-36100 Jokioinen, Finland

*email: anu.sironen@mtt.fi 

Recent developments in sequencing methods have enabled whole genome sequencing of several species 
and the available sequence information has allowed the development of high throughput genotyping chips. 
However, these genotyping methods require high quality DNA. The possibility to genotype samples based on 
DNA from non-invasive sources would permit retrospective genotyping of previously collected samples and 
also facilitate the analysis of large populations e.g. for genomic selection. In this study we have developed 
and evaluated different DNA preparation methods from porcine hair root follicles for high throughput geno-
typing with the PorcineSNP60 Genotyping BeadChip (Illumina). We describe a method for DNA extraction 
from porcine hair root samples, which produces results from high throughput genotyping with the same 
high degree of accuracy as previously reported for DNA extracted from sperm, blood or tissue samples. 
This method was used for the genotyping of 273 hair follicle samples. When the DNA concentration was 
> 30 ng/µl all samples had the same high call rate ( > 99%) as sperm samples confirming the robustness 
of this DNA extraction method for high throughput genotyping. Our data also establishes the suitability of 
the PorcineSNP60 BeadChip for genotyping the Finnish Landrace population.

Key-words: DNA extraction, Finnish Landrace, genotyping, hair follicles, pig, SNP



A G R I C U L T U R A L  A N D  F O O D  S C I E N C E

Sironen, A. et al. High throughput genotyping from porcine hair follicles

144

A G R I C U L T U R A L  A N D  F O O D  S C I E N C E

Vol. 20(2011): 143–150.

145

Introduction

High throughput single-nucleotide polymorphism 
(SNP) genotyping methods are becoming increas-
ingly important in population (Decker et al. 2009, 
Vonholdt et al. 2010) and association studies 
(Goddard and Hayes 2009) and also for genomic 
selection (Meuwissen et al. 2001). High throughput 
genotyping is now feasible due to the large number 
of SNP discovered by genome sequencing of vari-
ous species and the development of new methods 
to efficiently genotype a large numbers of SNPs 
(Hayes et al. 2009). Genomic selection is based 
on a large reference population, in which animals 
are both phenotyped and genotyped. Previously 
collected samples from a reference population with 
reliable breeding values are required to predict 
genomic breeding values (GEBV) in subsequent 
generations. Similarly, existing samples can be used 
for the analysis of population diversity and identi-
fication of disease associated genomic regions by 
high throughput genotyping. DNA extracted from 
sperm, blood or tissue samples can be used for high 
quality genotyping using chip technology (Li et al. 
2008, Jiang et al. 2010), but invasive procedures 
are required to collect such samples causing un-
necessary pain and distress for sampled animals. 
Furthermore, these samples are also expensive and 
time consuming to collect. 

The hair root is known to contain DNA and 
therefore represents a non-invasive source of DNA. 
The collection, transportation and storage of hair 
samples do not require any special procedures 
and as a result offers a painless and inexpensive 
alternative to the sampling of other tissues. Sev-
eral methods have been described for polymerase 
chain reaction (PCR) amplification of single mark-
ers from hair samples (Amendola-Pimenta et al. 
2009, Hayashida et al. 2009, Sironen et al. 2010). 
However, the low quality of DNA obtained has pre-
vented the use of these samples for high throughput 
genotyping. In this study, we have assessed several 
possible methods for DNA preparation from por-
cine (Sus scrofa) hair roots for genotyping with the 
chip technology. Based on our analysis we have 
developed a reliable method for the preparation of 

DNA from the hair root for genotyping with the 
PorcineSNP60 Genotyping BeadChip (Illumina).

Material and Methods

DNA samples
Genomic DNA was prepared from porcine (Finn-
ish Landrace) hair roots collected during years 
2000–2006 (samples of 273 boars were used for this 
study) and stored at room temperature. Control DNA 
was extracted from sperm samples using a phenol/
chloroform extraction protocol. For the assessment 
of various DNA preparation methods replicate of 
samples (n > 4) including the hair follicle of 5–15 
hairs were used: 

1. The hair roots were lysed in lysis buffer 
[proteinase K 0.5 mg/ml and 2 µl Mg-free PCR 
Buffer (Dynazyme DNA polymerase, Finnzymes) 
in dH2O] at 55 ºC for 60 min following Proteinase 
K inactivation at 98 ºC for 10 min.

2. DNA purification from the lysed samples 
(first preparation method) by ethanol (EtOH) pre-
cipitation with 100% ethanol and sodium acetate 
(0.3M, pH 5.2) at -20 °C for 30 min following cen-
trifugation at 13000 rpm for 10 min. Any residual 
salt was washed with 70 % ethanol and centrifuged 
at 13000rpm for 10min. Precipitated DNA was air 
dried and dissolved in 20 µl of distilled H2O.

3. DNA extraction from the lysed samples (first 
preparation method) by phenol/chloroform.

4. DNA purification from the lysed samples 
(first preparation method) by InstaGene matrix 
(BioRad) following the protocol supplied by the 
manufacture.

5. Hair roots were lysed in ATL lysis buffer 
(Qiagen) with proteinase K (10 mg/ml) at 55 ºC 
for 60 min following Proteinase K inactivation at 
98 ºC for 10 min. Thereafter the DNA was purified 
with ethanol precipitation.

6. Hair roots were lysed in lysis buffer (10mM 
Tris HCl, pH 8.0, 100mM NaCl, 1mM EDTA, 
0.5% SDS) with proteinase K (10 mg/ml) at 55 ºC 
for 60 min following Proteinase K inactivation at 



A G R I C U L T U R A L  A N D  F O O D  S C I E N C E

Sironen, A. et al. High throughput genotyping from porcine hair follicles

144

A G R I C U L T U R A L  A N D  F O O D  S C I E N C E

Vol. 20(2011): 143–150.

145

98 ºC for 10 min. Thereafter, DNA was purified by 
precipitation with ethanol.

7. Extraction of DNA with DNeasy Blood & 
Tissue Kit (Qiagen) according to the instructions 
supplied by the manufacturer.

For the lysis protocols (1, 5–6) the effect of ad-
dition of MgCl2 (2mM) and DTT (100µM) and dis-
solution of the hair root by mechanical force (with 
a rod or FastPrep homogenization system) were 
also tested. The concentration of extracted DNA 
was measured with a Nanodrop spectrophotometer 
(NanoDrop Technologies) and a Qubit Quantitation 
Platform (Invitrogen). Nanodrop was also used for 
analysing the purity of extracted DNA. Absorbance 
at 260 nm quantified the amount of DNA and pro-
tein contamination was detected at 280 nm. The 
ratio of absorbance at A260/280 and A230/260 was 
used to determine the purity of DNA samples. The 
Qubit platform uses fluorescence-based Quant-
iT™ assays, where fluorescence label binds specifi-
cally to DNA. Although the specificity to dsDNA 
increases the accuracy of the DNA concentration, 
this detection system does not give any information 
about the purity of the sample. The accuracy of 
these concentration measurements were also con-
firmed by quantitative PCR (qPCR).

The qPCR was performed with an ABI 7000 
Sequence Detection System in 96-well microtiter 
plates using Absolute qPCR SYBR Green ROX 
Mix (VWR). DNA was amplified using primers for 
the microsatellite marker SW2411 (Forward CCT-
GGACTCATTCTTGCTTTG, reverse TTCCTAT-
TCTGTCCTGCCTTG). Amplification by qPCR 
contained 12.5 μl of Absolute qPCR SYBR Green 
Mix, 20 ng of DNA, and 70 nM of each primer in a 
final volume of 25 μl. Amplifications were initiated 
with 15 min enzyme activation at 95 °C followed 
by 40 cycles of denaturation at 95 °C for 15 s, prim-
er annealing at 60 °C for 30 s, and extension at 72 
°C for 30 s. All samples were amplified in duplicate 
and a water sample was used as a negative control. 
A standard curve was produced by serial dilutions 
of DNA extracted from boar sperm (quantified with 
Nanodrop spectrophotometer). Quantities of DNA 
in the sample were estimated from the standard 
curve. Raw data were analyzed with the sequence 
detection software (Applied Biosystems).

Genotyping

For high throughput genotyping selected samples 
were analyzed on the PorcineSNP60 Genotyping 
BeadChip (Illumina Ltd) in the Institute for Molecu-
lar Medicine Finland (FIMM). The PorcineSNP60 
BeadChip has recently been developed as an out-
come from the porcine whole genome sequencing 
project (Ramos et al. 2009). The concentration of 
samples analyzed by the BeadChip was estimated by 
Qubit measurements and the purity was confirmed 
by Nanodrop. The concentration varied between 
2–100 ng/µl. 

DNA samples of three boars with three differ-
ent DNA preparation methods (1, 2 and 7) from 
hair roots and a reference sample extracted from 
sperm were selected for genotyping with the Porci-
neSNP60 BeadChip. Furthermore, a duplicate sam-
ple of DNA from boar sperm was included on the 
chip in order to compare the differences amongst 
identical sperm samples and variation between 
DNA preparation methods and sperm samples. 
Based on these analyses the most reliable DNA 
extraction method for hair samples was selected 
and an additional 280 samples were analyzed with 
the PorcineSNP60 BeadChip.

Statistical analysis

The effect of DNA concentration and genotyping 
batch on call rate was evaluated by multivariate 
ANOVA-method (SAS Enterprise Guide 4.3, SAS 
Institute Inc.).

Results and discussion

Evaluation of DNA preparation methods
A wide range of DNA preparation methods were 
tested including a basic lysis protocol with different 
lysis buffers. The hair root lysis has been success-
fully implemented in single marker analysis (Sironen 



A G R I C U L T U R A L  A N D  F O O D  S C I E N C E

Sironen, A. et al. High throughput genotyping from porcine hair follicles

146

A G R I C U L T U R A L  A N D  F O O D  S C I E N C E

Vol. 20(2011): 143–150.

147

et al. 2010), however the purity is extremely low in 
these samples. No clear differences in DNA yield or 
purity were detected between lysis buffers (methods 
2, 5 and 6) or following modification of the lysis 
protocol (addition of DTT/MgCl2 or dissolution, 
Table 1). The most consistent results were produced 
using 15 hair roots, even though 10 or even 5 hair 
roots yielded adequate amounts of DNA depend-
ing on the sample (data not shown). Therefore the 
lysis buffer (method 1) used in our previous studies  
(Sironen et al. 2010) with 15 hair roots was selected 
for further purification. 

DNA extraction with the InstaGene matrix 
(method 4) and by chloroform/phenol (method 
3) resulted in low DNA concentrations (Table 1). 
Ethanol precipitation (method 2) and a commercial 
extraction kit (method 7) yielded relatively high 
amounts of good quality DNA (Table 1). Thus, for 
high throughput genotyping, DNA extracted from 
samples using methods 2 and 7 were selected. In 
addition, samples prepared by lysis (method 1) 
were also genotyped, since the concentration of 
DNA was assumed to be highest in these samples 
although the purity was low and interfered with 

the determination of DNA concentration by Qubit 
and Nanodrop.

Comparison of different concentration 
assays

The concentration of DNA in various preparations 
was evaluated with the Nanodrop spectrophotometer 
and Qubit platform. Concentrations of DNA were 
found to be approximately 10 times higher based 
on the Nanodrop than Qubit analysis (Table 1). 
Therefore, the determination of DNA concentration 
was evaluated further by qPCR and a standard curve 
prepared from DNA extracted from boar sperm 
(quantified with Nanodrop spectrophotometer). 
The same amount (20 ng) of DNA based on each 
concentration assay was added to the qPCR am-
plification and the concentration was compared to 
the standard curve. Qubit measurements appeared 
to be consistent with the results from qPCR and 
were therefore used to evaluate the concentration 
of DNA for chip genotyping. 

Table 1. Protocols tested for the preparation of total DNA from porcine hair roots. Results from two different concen-
tration measurement methods are presented. Sample purity (260/280 and 260/230 ratios) was assessed by Nanodrop.

Protocol (n)
Nanodrop ng/µl 

(mean, SD)
260/280 

ratio
260/230 ratio

Qubit ng/µl  
(mean, SD)

1. Lysis (10) 58–500 (202, 157) <1 <0.5 0.9–29 (12, 11.7)

2.Lysis+EtOH precipitation (36) 15–500 (168, 137) 1.8–2 0.9–1.5 1.5–100 (21, 17)

3.Lysis+phenol/chloroform (3) 22–47 (36, 12.5) 1.8–1.9 2 –

4. Lysis+BioRad matrix (5) 35–83 (58, 24) 1.3–1.7 0.8 0.5–3 (1.8, 1.2)

5. ATL Qiagen lysis (5) 2.5–21.7 (11, 8) <1 <0.6 0.2–0.5 (0.35, 0.12)

6. SDS+EDTA lysis (5) 2–22 (12, 8.5) <1 <0.5 0.14–0.5 (0.3, 0.15)

7. Qiagen kit extraction (28) 32–450 (144, 139) 1.8–2 0.5–1.8 2–100 (38, 26)

n = number of samples



A G R I C U L T U R A L  A N D  F O O D  S C I E N C E

Sironen, A. et al. High throughput genotyping from porcine hair follicles

146

A G R I C U L T U R A L  A N D  F O O D  S C I E N C E

Vol. 20(2011): 143–150.

147

SNP quality measures of the Porcine-
SNP60 Genotyping BeadChip 

The total number of SNPs in the PorcineSNP60 
BeadChip is 62163. However, 2815 SNPs did not 
work for any of the genotyped samples and 9216 
SNPs were monomorphic in the data set of Finnish 
Landrace pigs. Excluding those SNPs, the average 
minor allele frequency was 0.25 (SD = 0.14). Fur-
thermore, the observed distribution of P-values of 
the Hardy-Weinberg equilibrium test statistic did 
not differ from expectations; 183 SNPs (exclud-
ing the SNPs on the X-chromosome) had p-values 
lower than 1.0E-06 which is much less than could 
be expected by chance. Thus, the PorcineSNP60 
BeadChip appears to be a robust and reliable method 
for genotyping of Finnish Landrace pigs.

Quality of the PorcineSNP60 BeadChip 
genotyping results with hair root sam-

ples
The comparison of the genotyping results from three 
different DNA preparation methods illustrated the 
importance of the quality of analysed DNA samples. 
The lowest call rate (CR, 90–93 %, Table 2) was 
detected with the unpurified lysis samples (method 
1). When compared with the sperm sample, the 
percentage of missing alleles was 2–5 % and the 
percentage of different allele calls (e.g. A in one 
sample and G in the other) was 0.09–0.31 % (Table 
3). These differences substantially reduce the reli-
ability of genotypes produced from lysed hair root 
samples. Samples of DNA extracted by the ethanol 
precipitation (method 2) and Qiagen purification 
(method 7) methods showed high call rates; 94–95 
% and 95% for methods 2 and 7, respectively (Table 
2) and very low percentage of differences when 
compared with sperm samples (Table 3). These 
values are consistent with the differences seen in 
duplicate DNA samples extracted from sperm (Table 
3). Excluding the 2815 SNPs, that did not work 
for any of the genotyped samples, the average CR 

Table 2. The overall call rate (CR) for three samples (1-
3) prepared by different DNA extraction methods and 
a control sample (4a and 4b) after Illumina Beadchip 
genotyping. The corrected CR indicates the CR after 
excluding SNPs that did not work for any of the sam-
ples analyzed. The number or letter listed in the method 
column indicates the DNA preparation method: S=DNA 
extracted from sperm, 1=lysis, 2=lysis+EtOH precipita-
tion and 7=Qiagen kit.

Sample Method CR CR corrected
1 S 0.950 0.995
1 1 0.901 0.944
1 7 0.950 0.995
1 2 0.940 0.985
2 S 0.950 0.995
2 1 0.931 0.975
2 7 0.950 0.995
2 2 0.950 0.994
3 S 0.950 0.995
3 1 0.913 0.956
3 7 0.950 0.995
3 2 0.937 0.981
4a S 0.950 0.994
4b S 0.950 0.994

for all Qiagen and EtOH precipitated samples was 
0.9982 (SD = 0.007).

Additional extractions of DNA were performed 
using the Qiagen Blood and Tissue kit (method 7), 
since the overall call rates were slightly higher in 
these samples compared with EtOH precipitated 
samples. However, the EtOH precipitation from 
hair root lyses appears to be a feasible method for 
DNA preparation for high throughput genotyping. 
The CR for 231/270 (86 %) additional hair root 
samples was > 99 % (after exclusion of SNPs that 
did not work in any samples). For 28 samples the 
call rate was > 90 %, for 18 samples > 72 % and 
three samples did not work. The purity (260/280 
ratio) was > 1.7 for all genotyped samples and did 
not explain the lower call rates, but the DNA con-
centration of the samples varied between 2–100 
ng/µl. Samples with a lower DNA concentration 
were also genotyped, because for some hair root 
samples it was extremely difficult or even impos-
sible to obtain a sufficiently high DNA concentra-



A G R I C U L T U R A L  A N D  F O O D  S C I E N C E

Sironen, A. et al. High throughput genotyping from porcine hair follicles

148

A G R I C U L T U R A L  A N D  F O O D  S C I E N C E

Vol. 20(2011): 143–150.

149

Table 3. Differences in allele calls after Beadchip genotyping of hair root samples prepared by 
various DNA extraction methods. Missing genotypes: number of genotypes that are missing in the 
comparison between hair and sperm samples. Different genotypes: number of genotypes that are 
different in the comparison between hair and sperm samples. The letter or number after the iden-
tification number indicates the DNA preparation method: S=DNA extracted from sperm, 1=lysis, 
2=lysis+EtOH precipitation and 7=Qiagen kit.

Missing 
genotypes

% Different 
genotypes

%

PIG.1S PIG.1_1 3068 4.94 193 0.31
PIG.1S PIG.1_7 48 0.08 32 0.05
PIG.1S PIG.1_2 618 0.99 38 0.06
PIG.1_7 PIG.1_2 604 0.97 71 0.11

PIG.2S PIG.2_1 1197 1.93 53 0.09
PIG.2S PIG.2_7 18 0.03 19 0.03
PIG.2S PIG.2_2 69 0.11 18 0.03
PIG.2_7 PIG.2_2 63 0.10 25 0.04

PIG.3S PIG.3_1 2301 3.70 157 0.25
PIG.3S PIG.3_7 18 0.03 37 0.06
PIG.3S PIG.3_2 822 1.32 57 0.09
PIG.3_7 PIG.3_2 816 1.31 44 0.07

PIG.4aS PIG.4bS 64 0.10 52 0.08

tion (> 50 ng/µl). Thus, with the aim of genotyping 
a large population of animals with minimal effort 
the range in DNA concentration was considered 
acceptable. When the call rates were analysed in 
groups based on the DNA concentration, a clear as-
sociation between concentration and CR was iden-
tified (Fig. 1). With low DNA concentrations (< 
30 ng/µl) the proportion of samples with adequate 
call rates was lower than when the concentration 
exceeded 30 ng/µl. Based on pair-wise compari-
sons using the Tukey’s test there was a significant 
difference between sperm samples and hair sam-
ples when DNA concentration fell below 30 ng/
µl, but no difference when the concentration was 
higher than 30 ng/µl (Table 4). Significant differ-
ences were also found between batch number four 
and batch number three (Table 4). Part of this may 
be due to the age and storage conditions of the hair 
samples, but some variation may also arise from 
handling of the sample during DNA extraction 
protocol. The acceptable limit for DNA concen-

Fig. 1. Distribution plot of call rates against DNA con-
centration of hair root samples. At low concentrations 
the proportion of samples with an adequate call rate is 
lower than with samples containing DNA concentration 
above 30 ng/µl.

0.6

0.7

0.8

0.9

1

0 20 40 60 80 100

Callrate

Qubit ng/µl



A G R I C U L T U R A L  A N D  F O O D  S C I E N C E

Sironen, A. et al. High throughput genotyping from porcine hair follicles

148

A G R I C U L T U R A L  A N D  F O O D  S C I E N C E

Vol. 20(2011): 143–150.

149

tration appeared to be 30 ng/µl producing CR > 99 
% corresponding to the CR with DNA extracted 
from sperm or blood. However, samples with lower 
concentration of DNA also exhibited high call rates 
indicating that some deviation can be tolerated for 
successful genotyping. Therefore, depending on 
the experimental design, it may be necessary to 
increase sample numbers by decreasing the DNA 
concentration streshold.

Conclusion 

Our results show that DNA from porcine hair roots 
using an appropriate extraction method gener-
ates reliable genotyping results with the Illumina 
PorcineSNP60 Genotyping BeadChip. These data 
allow a straightforward and inexpensive means of 
genotyping previously collected samples and/or 

large animal populations. The concentration of DNA 
appears to be the limiting factor in genotyping DNA 
from hair roots and can be used to confirm the high 
CRs. However, if the genotyping of large popula-
tions is required analysis of samples containing 
lower DNA concentrations may remain viable. The 
Qubit platform appeared to be a valid method for the 
measurement of DNA concentration. Furthermore, 
the SNPs on PorcineSNP60 BeadChip were highly 
polymorphic in the Finnish Landrace population 
highlighting the feasibility of this technology for 
genotyping of Finnish Landrace pigs. 

Acknowledgements. Funding for this study was 
provided by the Finnish Ministry of Agriculture and 
Forestry (Makera). The assistance of Tiina Jaakkola 
and Tarja Hovivuori in DNA extraction and Päivi 
Lahermo (Institute for Molecular Medicine Finland, 
FIMM) in genotyping with PorcineSNP60 Geno-
typing BeadChip (Illumina) is greatly appreciated.

Table 4. Descriptive statistics of call rates (CR) for hair samples containing different DNA concen-
trations (ng/µl Qubit) and between different extraction batches. The CR for samples extracted from 
hair root follicles with a low DNA concentration (< 30 ng/µl) was significantly different from CR 
for DNA samples extracted from sperm. The LS mean corresponds to multivariate ANOVA least 
square mean estimate. P–value refers to the significance of differences between sperm samples and 
different DNA concentrations extracted from hair roots and between batch 4 and other batches based 
on Tukey’s test statistics.

DNA source Class n Mean SD LS mean p–value
Hair root <10 24 0.885 0.084 0.900 <.0001
Hair root 10 – 30 80 0.953 0.052 0.969 0.005
Hair root 30 – 50 71 0.979 0.004 0.994 1
Hair root 50 – 100 98 0.980 0.005 0.994 1
Sperm 130 0.993 0.007 0.995

DNA batch 1 21 1.000 0.0002 0.975 0.099
2 87 0.995 0.0003 0.970 0.103
3 16 0.990 0.0139 0.981 0.003
4 279 0.963 0.0453 0.954

Overall 403 0.973 0.041



A G R I C U L T U R A L  A N D  F O O D  S C I E N C E

Sironen, A. et al. High throughput genotyping from porcine hair follicles

150

References 
Amendola-Pimenta, M., Garcia-Feria, L., Serio-Silva, J.C. 

& Rico-Gray, V. 2009. Noninvasive collection of fresh 
hairs from free-ranging howler monkeys for DNA ex-
traction. American Journal of Primatology 71: 359–363.

Decker, J.E., Pires, J.C., Conant, G.C., McKay, S.D., Hea-
ton, M.P., Chen, K., Cooper, A., Vilkki, J., Seabury, C.M., 
Caetano, A.R., Johnson, G.S., Brenneman, R.A., Han-
otte, O., Eggert, L.S., Wiener, P., Kim, J.J., Kim, K.S., 
Sonstegard, T.S., Van Tassell, C.P., Neibergs, H.L., McE-
wan, J.C., Brauning, R., Coutinho, L.L., Babar, M.E., Wil-
son, G.A., McClure, M.C., Rolf, M.M., Kim, J., Schnabel, 
R.D. & Taylor, J.F. 2009. Resolving the evolution of ex-
tant and extinct ruminants with high-throughput phyloge-
nomics. Proceedings of the National Academy of Scienc-
es of the United States of America 106: 18644–18649.

Goddard, M.E. & Hayes, B.J. 2009. Mapping genes for 
complex traits in domestic animals and their use in 
breeding programmes. Nature Reviews.Genetics 10:  
381–391.

Hayashida, M., Iwao-Koizumi, K., Murata, S. & Kinoshi-
ta, K. 2009. Single-tube genotyping from a human hair 
root by direct PCR. Analytical Sciences: The Interna-
tional Journal of the Japan Society for Analytical Chem-
istry 25: 1487–1489.

Hayes, B.J., Bowman, P.J., Chamberlain, A.J. & Goddard, 
M.E. 2009. Invited review: Genomic selection in dairy 
cattle: progress and challenges. Journal of Dairy Sci-
ence 92: 433–443.

Jiang, L., Liu, J., Sun, D., Ma, P., Ding, X., Yu, Y. & Zhang, 
Q. 2010. Genome wide association studies for milk pro-
duction traits in Chinese Holstein population. PloS One 
5: e13661.

Li, J.Z., Absher, D.M., Tang, H., Southwick, A.M., Cas-
to, A.M., Ramachandran, S., Cann, H.M., Barsh, G.S., 
Feldman, M., Cavalli-Sforza, L.L. & Myers, R.M. 2008. 
Worldwide human relationships inferred from genome-
wide patterns of variation. Science (New York, N.Y.) 
319: 1100–1104.

Meuwissen, T.H., Hayes, B.J. & Goddard, M.E. 2001. Pre-
diction of total genetic value using genome-wide dense 
marker maps. Genetics 157: 1819–1829.

Ramos, A.M., Crooijmans, R.P., Affara, N.A., Amaral, A.J., 
Archibald, A.L., Beever, J.E., Bendixen, C., Churcher, 
C., Clark, R., Dehais, P., Hansen, M.S., Hedegaard, J., 
Hu, Z.L., Kerstens, H.H., Law, A.S., Megens, H.J., Mi-
lan, D., Nonneman, D.J., Rohrer, G.A., Rothschild, M.F., 
Smith, T.P., Schnabel, R.D., Van Tassell, C.P., Taylor, 
J.F., Wiedmann, R.T., Schook, L.B. & Groenen, M.A. 
2009. Design of a high density SNP genotyping assay in 
the pig using SNPs identified and characterized by next 
generation sequencing technology. PloS One 4: e6524.

Sironen, A.I., Uimari, P., Serenius, T., Mote, B., Rothschild, 
M. & Vilkki, J. 2010. Effect of polymorphisms in candi-
date genes on reproduction traits in Finnish pig popula-
tions. Journal of Animal Science 88: 821–827.

Vonholdt, B.M., Pollinger, J.P., Lohmueller, K.E., Han, E., 
Parker, H.G., Quignon, P., Degenhardt, J.D., Boyko, 
A.R., Earl, D.A., Auton, A., Reynolds, A., Bryc, K., Bris-
bin, A., Knowles, J.C., Mosher, D.S., Spady, T.C., Elkahl-
oun, A., Geffen, E., Pilot, M., Jedrzejewski, W., Greco, 
C., Randi, E., Bannasch, D., Wilton, A., Shearman, J., 
Musiani, M., Cargill, M., Jones, P.G., Qian, Z., Huang, 
W., Ding, Z.L., Zhang, Y.P., Bustamante, C.D., Ostrand-
er, E.A., Novembre, J. & Wayne, R.K. 2010. Genome-
wide SNP and haplotype analyses reveal a rich history 
underlying dog domestication. Nature 8: 98–899–902.


	Comparison of different DNA extraction methods from hair root follicles to genotype Finnish Landrace boars with the Illumina PorcineSNP60 BeadChip
	Introduction
	Material and Methods
	DNA samples
	Genotyping
	Statistical analysis

	Results and discussion
	Evaluation of DNA preparation methods
	Comparison of different concentration assays
	SNP quality measures of the Porcine-SNP60 Genotyping BeadChip
	Quality of the PorcineSNP60 BeadChip genotyping results with hair root samples

	Conclusion
	References