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The genetic structure of the Turkish population reveals high levels of variation and admixture

Kars, M. Ece, Basak, A. Nazli, Onat, O. Emre, Bilguvar, Kaya, Choi, Jungmin, Itan, Yuval, Çalar, Caner, Palvadeau, Robin, Casanova, Jean-Laurent, Cooper, David N., Stenson, Peter D., Yavuz, Alper, Bulus, Hakan, Günel, Murat, Friedman, Jeffrey M. and Özçelik, Tayfun 2021. The genetic structure of the Turkish population reveals high levels of variation and admixture. Proceedings of the National Academy of Sciences 118 (36) , e2026076118. 10.1073/pnas.2026076118

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Abstract

The construction of population-based variomes has contributed substantially to our understanding of the genetic basis of human inherited disease. Here, we investigated the genetic structure of Turkey from 3,362 unrelated subjects whose whole exomes (n = 2,589) or whole genomes (n = 773) were sequenced to generate a Turkish (TR) Variome that should serve to facilitate disease gene discovery in Turkey. Consistent with the history of present-day Turkey as a crossroads between Europe and Asia, we found extensive admixture between Balkan, Caucasus, Middle Eastern, and European populations with a closer genetic relationship of the TR population to Europeans than hitherto appreciated. We determined that 50% of TR individuals had high inbreeding coefficients (≥0.0156) with runs of homozygosity longer than 4 Mb being found exclusively in the TR population when compared to 1000 Genomes Project populations. We also found that 28% of exome and 49% of genome variants in the very rare range (allele frequency < 0.005) are unique to the modern TR population. We annotated these variants based on their functional consequences to establish a TR Variome containing alleles of potential medical relevance, a repository of homozygous loss-of-function variants and a TR reference panel for genotype imputation using high-quality haplotypes, to facilitate genome-wide association studies. In addition to providing information on the genetic structure of the modern TR population, these data provide an invaluable resource for future studies to identify variants that are associated with specific phenotypes as well as establishing the phenotypic consequences of mutations in specific genes.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Medicine
Publisher: National Academy of Sciences
ISSN: 0027-8424
Date of First Compliant Deposit: 14 September 2021
Date of Acceptance: 13 July 2021
Last Modified: 23 Feb 2022 17:32
URI: https://orca.cardiff.ac.uk/id/eprint/144097

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