TY - JOUR
T1 - Whole-Genome Sequencing and Genomic Variant Analysis of Kazakh Individuals
AU - Kairov, Ulykbek
AU - Molkenov, Askhat
AU - Sharip, Aigul
AU - Rakhimova, Saule
AU - Seidualy, Madina
AU - Rhie, Arang
AU - Kozhamkulov, Ulan
AU - Zhabagin, Maxat
AU - Kim, Jong-Il
AU - Lee, Joseph H
AU - Terwilliger, Joseph D
AU - Seo, Jeong-Sun
AU - Zhumadilov, Zhaxybay
AU - Akilzhanova, Ainur
N1 - Copyright © 2022 Kairov, Molkenov, Sharip, Rakhimova, Seidualy, Rhie, Kozhamkulov, Zhabagin, Kim, Lee, Terwilliger, Seo, Zhumadilov and Akilzhanova.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
U2 - 10.3389/fgene.2022.902804
DO - 10.3389/fgene.2022.902804
M3 - Article
C2 - 35899193
SN - 1664-8021
VL - 13
SP - 902804
JO - Frontiers in Genetics
JF - Frontiers in Genetics
ER -