Analysis of Uyghur and Kazakh populations using the Precision ID Ancestry Panel

H Simayijiang, C Børsting, T Tvedebrink, N Morling

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13 Citationer (Scopus)

Abstract

Autosomal ancestry informative markers (AIMs) are important markers for inferring ancestry of humans. In the present study, we typed 105 Uyghurs and 94 Kazakhs with the Precision ID Ancestry Panel that amplifies 165 autosomal AIMs. No statistically significant deviation from Hardy-Weinberg equilibrium and no linkage disequilibrium between loci was observed after Bonferroni correction. STRUCTURE and PCA analyses showed that Uyghurs and Kazakhs appeared as admixed individuals of primarily European and East Asian ancestry and were clearly differentiated from Europeans, Middle Easterners, South/Central Asians, and East Asians. However, it was not possible to differentiate the two populations from each other and they were also difficult to differentiate from Greenlanders, a population with European/Inuit admixture. GenoGeographer was used to evaluate the weight of the evidence. Initially, the results showed that the majority of AIM profiles from Uyghur and Kazakh individuals were not represented by any of the 36 reference populations of the GenoGeographer database. Consequently, it was not reasonable to infer the ancestry of these individuals. A randomly selected subset of the studied populations (75 Uyghur and 75 Kazakh individuals) was used to construct two new reference populations for GenoGeographer, and ancestry prediction was performed on the remaining test individuals. A total of 42 out of 49 test individuals were represented by at least one population after the introduction of Uyghur and Kazakh reference populations. Likelihood ratios ≥106 were obtained when the alternative hypothesis was that the individual belonged to the South/Central Asian, East Asian, Middle Eastern, European, or the admixed Greenlandic population.

OriginalsprogEngelsk
Artikelnummer102144
TidsskriftForensic Science International: Genetics
Vol/bind43
ISSN1872-4973
DOI
StatusUdgivet - nov. 2019

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Copyright © 2019 Elsevier B.V. All rights reserved.

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