Loading…

Whole-Genome Sequencing and Genomic Variant Analysis of Kazakh Individuals

Kazakhstan, the ninth-largest country in the world, is located along the Great Silk Road and connects Europe with Asia. Historically, its territory has been inhabited by nomadic tribes, and modern-day Kazakhstan is a multiethnic country with a dominant Kazakh population. We sequenced and analyzed th...

Full description

Saved in:
Bibliographic Details
Published in:Frontiers in genetics 2022-07, Vol.13, p.902804-902804
Main Authors: Kairov, Ulykbek, Molkenov, Askhat, Sharip, Aigul, Rakhimova, Saule, Seidualy, Madina, Rhie, Arang, Kozhamkulov, Ulan, Zhabagin, Maxat, Kim, Jong-Il, Lee, Joseph H., Terwilliger, Joseph D., Seo, Jeong-Sun, Zhumadilov, Zhaxybay, Akilzhanova, Ainur
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Kazakhstan, the ninth-largest country in the world, is located along the Great Silk Road and connects Europe with Asia. Historically, its territory has been inhabited by nomadic tribes, and modern-day Kazakhstan is a multiethnic country with a dominant Kazakh population. We sequenced and analyzed the genomes of five ethnic Kazakhs at high coverage using the Illumina HiSeq2000 next-generation sequencing platform. The five Kazakhs yielded a total number of base pairs ranging from 87,308,581,400 to 107,526,741,301. On average, 99.06% were properly mapped. Based on the Het/Hom and Ti/Tv ratios, the quality of the genomic data ranged from 1.35 to 1.49 and from 2.07 to 2.08, respectively. Genetic variants were identified and annotated. Functional analysis of the genetic variants identified several variants that were associated with higher risks of metabolic and neurogenerative diseases. The present study showed high levels of genetic admixture of Kazakhs that were comparable to those of other Central Asians. These whole-genome sequence data of healthy Kazakhs could contribute significantly to biomedical studies of common diseases as their findings could allow better insight into the genotype–phenotype relations at the population level.
ISSN:1664-8021
1664-8021
DOI:10.3389/fgene.2022.902804