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

Overview of attention for article published in PLOS ONE, October 2013
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Title
Afghan Hindu Kush: Where Eurasian Sub-Continent Gene Flows Converge
Published in
PLOS ONE, October 2013
DOI 10.1371/journal.pone.0076748
Pubmed ID
Authors

Julie Di Cristofaro, Erwan Pennarun, Stéphane Mazières, Natalie M. Myres, Alice A. Lin, Shah Aga Temori, Mait Metspalu, Ene Metspalu, Michael Witzel, Roy J. King, Peter A. Underhill, Richard Villems, Jacques Chiaroni

Abstract

Despite being located at the crossroads of Asia, genetics of the Afghanistan populations have been largely overlooked. It is currently inhabited by five major ethnic populations: Pashtun, Tajik, Hazara, Uzbek and Turkmen. Here we present autosomal from a subset of our samples, mitochondrial and Y- chromosome data from over 500 Afghan samples among these 5 ethnic groups. This Afghan data was supplemented with the same Y-chromosome analyses of samples from Iran, Kyrgyzstan, Mongolia and updated Pakistani samples (HGDP-CEPH). The data presented here was integrated into existing knowledge of pan-Eurasian genetic diversity. The pattern of genetic variation, revealed by structure-like and Principal Component analyses and Analysis of Molecular Variance indicates that the people of Afghanistan are made up of a mosaic of components representing various geographic regions of Eurasian ancestry. The absence of a major Central Asian-specific component indicates that the Hindu Kush, like the gene pool of Central Asian populations in general, is a confluence of gene flows rather than a source of distinctly autochthonous populations that have arisen in situ: a conclusion that is reinforced by the phylogeography of both haploid loci.

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Geographical breakdown

Country Count As %
Mexico 1 1%
Kazakhstan 1 1%
Sweden 1 1%
Canada 1 1%
Unknown 80 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 23%
Researcher 14 17%
Student > Master 14 17%
Student > Bachelor 7 8%
Professor > Associate Professor 7 8%
Other 13 15%
Unknown 10 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 33 39%
Biochemistry, Genetics and Molecular Biology 17 20%
Medicine and Dentistry 5 6%
Arts and Humanities 4 5%
Social Sciences 3 4%
Other 10 12%
Unknown 12 14%