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Whole-genome sequencing data of Kazakh individuals

OBJECTIVES: Kazakhstan is a Central Asian crossroad of European and Asian populations situated along the way of the Great Silk Way. The territory of Kazakhstan has historically been inhabited by nomadic tribes and today is the multi-ethnic country with the dominant Kazakh ethnic group. We sequenced...

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Autores principales: Kairov, Ulykbek, Molkenov, Askhat, Rakhimova, Saule, Kozhamkulov, Ulan, Sharip, Aigul, Karabayev, Daniyar, Daniyarov, Asset, H.Lee, Joseph, D.Terwilliger, Joseph, Akilzhanova, Ainur, Zhumadilov, Zhaxybay
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7863413/
https://www.ncbi.nlm.nih.gov/pubmed/33541395
http://dx.doi.org/10.1186/s13104-021-05464-4
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author Kairov, Ulykbek
Molkenov, Askhat
Rakhimova, Saule
Kozhamkulov, Ulan
Sharip, Aigul
Karabayev, Daniyar
Daniyarov, Asset
H.Lee, Joseph
D.Terwilliger, Joseph
Akilzhanova, Ainur
Zhumadilov, Zhaxybay
author_facet Kairov, Ulykbek
Molkenov, Askhat
Rakhimova, Saule
Kozhamkulov, Ulan
Sharip, Aigul
Karabayev, Daniyar
Daniyarov, Asset
H.Lee, Joseph
D.Terwilliger, Joseph
Akilzhanova, Ainur
Zhumadilov, Zhaxybay
author_sort Kairov, Ulykbek
collection PubMed
description OBJECTIVES: Kazakhstan is a Central Asian crossroad of European and Asian populations situated along the way of the Great Silk Way. The territory of Kazakhstan has historically been inhabited by nomadic tribes and today is the multi-ethnic country with the dominant Kazakh ethnic group. We sequenced and analyzed the whole-genomes of five ethnic healthy Kazakh individuals with high coverage using next-generation sequencing platform. This whole-genome sequence data of healthy Kazakh individuals can be a valuable reference for biomedical studies investigating disease associations and population-wide genomic studies of ethnically diverse Central Asian region. DATA DESCRIPTION: Blood samples have been collected from five ethnic healthy Kazakh individuals living in Kazakhstan. The genomic DNA was extracted from blood and sequenced. Sequencing was performed on Illumina HiSeq2000 next-generation sequencing platform. We sequenced and analyzed the whole-genomes of ethnic Kazakh individuals with the coverage ranging from 26 to 32X. Ranging from 98.85 to 99.58% base pairs were totally mapped and aligned on the human reference genome GRCh37 hg19. Het/Hom and Ts/Tv ratios for each whole genome ranged from 1.35 to 1.49 and from 2.07 to 2.08, respectively. Sequencing data are available in the National Center for Biotechnology Information SRA database under the accession number PRJNA374772.
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spelling pubmed-78634132021-02-05 Whole-genome sequencing data of Kazakh individuals Kairov, Ulykbek Molkenov, Askhat Rakhimova, Saule Kozhamkulov, Ulan Sharip, Aigul Karabayev, Daniyar Daniyarov, Asset H.Lee, Joseph D.Terwilliger, Joseph Akilzhanova, Ainur Zhumadilov, Zhaxybay BMC Res Notes Data Note OBJECTIVES: Kazakhstan is a Central Asian crossroad of European and Asian populations situated along the way of the Great Silk Way. The territory of Kazakhstan has historically been inhabited by nomadic tribes and today is the multi-ethnic country with the dominant Kazakh ethnic group. We sequenced and analyzed the whole-genomes of five ethnic healthy Kazakh individuals with high coverage using next-generation sequencing platform. This whole-genome sequence data of healthy Kazakh individuals can be a valuable reference for biomedical studies investigating disease associations and population-wide genomic studies of ethnically diverse Central Asian region. DATA DESCRIPTION: Blood samples have been collected from five ethnic healthy Kazakh individuals living in Kazakhstan. The genomic DNA was extracted from blood and sequenced. Sequencing was performed on Illumina HiSeq2000 next-generation sequencing platform. We sequenced and analyzed the whole-genomes of ethnic Kazakh individuals with the coverage ranging from 26 to 32X. Ranging from 98.85 to 99.58% base pairs were totally mapped and aligned on the human reference genome GRCh37 hg19. Het/Hom and Ts/Tv ratios for each whole genome ranged from 1.35 to 1.49 and from 2.07 to 2.08, respectively. Sequencing data are available in the National Center for Biotechnology Information SRA database under the accession number PRJNA374772. BioMed Central 2021-02-04 /pmc/articles/PMC7863413/ /pubmed/33541395 http://dx.doi.org/10.1186/s13104-021-05464-4 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Data Note
Kairov, Ulykbek
Molkenov, Askhat
Rakhimova, Saule
Kozhamkulov, Ulan
Sharip, Aigul
Karabayev, Daniyar
Daniyarov, Asset
H.Lee, Joseph
D.Terwilliger, Joseph
Akilzhanova, Ainur
Zhumadilov, Zhaxybay
Whole-genome sequencing data of Kazakh individuals
title Whole-genome sequencing data of Kazakh individuals
title_full Whole-genome sequencing data of Kazakh individuals
title_fullStr Whole-genome sequencing data of Kazakh individuals
title_full_unstemmed Whole-genome sequencing data of Kazakh individuals
title_short Whole-genome sequencing data of Kazakh individuals
title_sort whole-genome sequencing data of kazakh individuals
topic Data Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7863413/
https://www.ncbi.nlm.nih.gov/pubmed/33541395
http://dx.doi.org/10.1186/s13104-021-05464-4
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