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Cited by 100

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Afghan Hindu Kush: Where Eurasian Sub-Continent Gene Flows Converge

Di Cristofaro, Julie, Pennarun, Erwan, Mazières, Stéphane, Myres, Natalie M., Lin, Alice A., Temori, Shah Aga, Metspalu, Mait, Metspalu, Ene, Witzel, Michael, King, Roy J., Underhill, Peter A., Villems, Richard, Chiaroni, Jacques·2013·PLoS ONE
DOI 10.1371/journal.pone.0076748PMC PMC3799995
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Figure 1 Samples collection locations. Blue dots indicate locations where samples were collected in Afghanistan and analyzed for mt DNA, Y-chromosome and GWA, red dot indicates Afghan capital, Kabul. Black dots indicate locations where samples were collected in Iran, Kyrgyzstan, Mongolia and Pakistan (HGDP-CEPH) and analyzed for Y-chromosome (see further description in Table S1). Red squares indicate samples locations used for the autosomal analyses (PCA, Fst, structure-like ADMIXTURE) (see further description in Table S2).
Figure 1 Samples collection locations. Blue dots indicate locations where samples were collected in Afghanistan and analyzed for mt DNA, Y-chromosome and GWA, red dot indicates Afghan capital, Kabul. Black dots indicate locations where samples were collected in Iran, Kyrgyzstan, Mongolia and Pakistan (HGDP-CEPH) and analyzed for Y-chromosome (see further description in Table S1). Red squares indicate samples locations used for the autosomal analyses (PCA, Fst, structure-like ADMIXTURE) (see further description in Table S2).CC BY · PubMed Central
Figure 2 Spatial distribution of Ancestry Components based on the admixture analysis results at K = 9. Frequency data (ancestry fractions) were converted by applying the Kriging algorithm using the software Surfer v8.00. The color for the respective ACs matches that of Figures S1 and S2.
Figure 2 Spatial distribution of Ancestry Components based on the admixture analysis results at K = 9. Frequency data (ancestry fractions) were converted by applying the Kriging algorithm using the software Surfer v8.00. The color for the respective ACs matches that of Figures S1 and S2.CC BY · PubMed Central
Figure 3 First and second components of the Principal Component Analysis based on autosomal data. The corresponding colored dots for the Central Asian populations are shown on the lower right corner. The colored “arrows” on the background represent the frequency gradients as seen as on Figures S1 and S2 and follow the same color code. It shall be stressed that they DO NOT represent actual gene flow, PCA analysis does not permit to reveal such movements. _Pak and _Afg stand for Pakistan and Afghanistan respectively.
Figure 3 First and second components of the Principal Component Analysis based on autosomal data. The corresponding colored dots for the Central Asian populations are shown on the lower right corner. The colored “arrows” on the background represent the frequency gradients as seen as on Figures S1 and S2 and follow the same color code. It shall be stressed that they DO NOT represent actual gene flow, PCA analysis does not permit to reveal such movements. _Pak and _Afg stand for Pakistan and Afghanistan respectively.CC BY · PubMed Central
Figure 4 First and second components of the Factorial Correspondence Analysis based on the frequencies of 84 well-defined Y chromosome haplogroups in 37 populations from Afghanistan, Iran, Kyrgyzstan, Pakistan, and Mongolia. In Figure 4-A, populations are colored according to their language (Altaic and Indo-European speaking populations). Figure 4-B differentiates populations according to their respective country.
Figure 4 First and second components of the Factorial Correspondence Analysis based on the frequencies of 84 well-defined Y chromosome haplogroups in 37 populations from Afghanistan, Iran, Kyrgyzstan, Pakistan, and Mongolia. In Figure 4-A, populations are colored according to their language (Altaic and Indo-European speaking populations). Figure 4-B differentiates populations according to their respective country.CC BY · PubMed Central

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Cites

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Metadata

Authors
Di Cristofaro, J., Pennarun, E., Mazières, S., Myres, N. M., Lin, A. A., Temori, S. A., Metspalu, M., Metspalu, E., Witzel, M., King, R. J., Underhill, P. A., Villems, R., & Chiaroni, J.
Venue
PLoS ONE
Publisher
Public Library of Science (PLoS)
Published
2013-10-18
Volume
8
Issue
10
Pages
e76748
ISSN
1932-6203
DOI
10.1371/journal.pone.0076748
PMC
PMC3799995
Cited by
100
References
8
Language
en
Licence
creativecommons.org/licenses/by/4.0/ (unspecified)

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