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Statistical Inference on Genetic Data Reveals the Complex Demographic History of Human Populations in Central Asia

Palstra, Friso P., Heyer, Evelyne, Austerlitz, Frédéric·2015·Molecular Biology and Evolution
DOI 10.1093/molbev/msv030
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Abstract

The demographic history of modern humans constitutes a combination of expansions, colonizations, contractions, and remigrations. The advent of large scale genetic data combined with statistically refined methods facilitates inference of this complex history. Here we study the demographic history of two genetically admixed ethnic groups in Central Asia, an area characterized by high levels of genetic diversity and a history of recurrent immigration. Using Approximate Bayesian Computation, we infer that the timing of admixture markedly differs between the two groups. Admixture in the traditionally agricultural Tajiks could be dated back to the onset of the Neolithic transition in the region, whereas admixture in Kyrgyz is more recent, and may have involved the westward movement of Turkic peoples. These results are confirmed by a coalescent method that fits an isolation-with-migration model to the genetic data, with both Central Asian groups having received gene flow from the extremities of Eurasia. Interestingly, our analyses also uncover signatures of gene flow from Eastern to Western Eurasia during Paleolithic times. In conclusion, the high genetic diversity currently observed in these two Central Asian peoples most likely reflects the effects of recurrent immigration that likely started before historical times. Conversely, conquests during historical times may have had a relatively limited genetic impact. These results emphasize the need for a better understanding of the gen…

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Cited by

Metadata

Authors
Palstra, F. P., Heyer, E., & Austerlitz, F.
Venue
Molecular Biology and Evolution
Publisher
Oxford University Press (OUP)
Published
2015-02-11
Volume
32
Issue
6
Pages
1411-1424
ISSN
  • 1537-1719
  • 0737-4038
DOI
10.1093/molbev/msv030
Cited by
36
References
13
Language
en

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