Author:
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
Abstract
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.
Funder
Ministry of Education and Science of the Republic of Kazakhstan
Subject
Genetics (clinical),Genetics,Molecular Medicine
Cited by
2 articles.
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