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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9309552/
https://www.ncbi.nlm.nih.gov/pubmed/35899193
http://dx.doi.org/10.3389/fgene.2022.902804
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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
author_facet 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
author_sort Kairov, Ulykbek
collection PubMed
description 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.
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spelling pubmed-93095522022-07-26 Whole-Genome Sequencing and Genomic Variant Analysis of Kazakh Individuals 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 Front Genet Genetics 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. Frontiers Media S.A. 2022-07-11 /pmc/articles/PMC9309552/ /pubmed/35899193 http://dx.doi.org/10.3389/fgene.2022.902804 Text en Copyright © 2022 Kairov, Molkenov, Sharip, Rakhimova, Seidualy, Rhie, Kozhamkulov, Zhabagin, Kim, Lee, Terwilliger, Seo, Zhumadilov and Akilzhanova. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
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
Whole-Genome Sequencing and Genomic Variant Analysis of Kazakh Individuals
title Whole-Genome Sequencing and Genomic Variant Analysis of Kazakh Individuals
title_full Whole-Genome Sequencing and Genomic Variant Analysis of Kazakh Individuals
title_fullStr Whole-Genome Sequencing and Genomic Variant Analysis of Kazakh Individuals
title_full_unstemmed Whole-Genome Sequencing and Genomic Variant Analysis of Kazakh Individuals
title_short Whole-Genome Sequencing and Genomic Variant Analysis of Kazakh Individuals
title_sort whole-genome sequencing and genomic variant analysis of kazakh individuals
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9309552/
https://www.ncbi.nlm.nih.gov/pubmed/35899193
http://dx.doi.org/10.3389/fgene.2022.902804
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