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Whole-Genome Sequencing and Genomic Variant Analysis of Kazakh Individuals

Cited 2 time in Web of Science Cited 2 time in Scopus
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

Issue Date
2022-07
Publisher
Frontiers Media S.A.
Citation
Frontiers in Genetics, Vol.13, p. 902804
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.
ISSN
1664-8021
URI
https://hdl.handle.net/10371/185351
DOI
https://doi.org/10.3389/fgene.2022.902804
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