Literature DB >> 33541395

Whole-genome sequencing data of Kazakh individuals.

Ulykbek Kairov1, Askhat Molkenov2, Saule Rakhimova3, Ulan Kozhamkulov3, Aigul Sharip2, Daniyar Karabayev2, Asset Daniyarov2, Joseph H Lee4, Joseph D Terwilliger4, Ainur Akilzhanova3, Zhaxybay Zhumadilov5.   

Abstract

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.

Entities:  

Keywords:  Bioinformatics analysis; Biomedical research; Genome annotation; Kazakh ethnicity; Kazakhstan; Next-generation sequencing; Population genomics; Whole genome

Mesh:

Year:  2021        PMID: 33541395      PMCID: PMC7863413          DOI: 10.1186/s13104-021-05464-4

Source DB:  PubMed          Journal:  BMC Res Notes        ISSN: 1756-0500


  12 in total

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10.  A framework for the estimation of the proportion of true discoveries in single nucleotide variant detection studies for human data.

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  1 in total

1.  Whole-Genome Sequencing and Genomic Variant Analysis of Kazakh Individuals.

Authors:  Ulykbek Kairov; Askhat Molkenov; Aigul Sharip; Saule Rakhimova; Madina Seidualy; Arang Rhie; Ulan Kozhamkulov; Maxat Zhabagin; Jong-Il Kim; Joseph H Lee; Joseph D Terwilliger; Jeong-Sun Seo; Zhaxybay Zhumadilov; Ainur Akilzhanova
Journal:  Front Genet       Date:  2022-07-11       Impact factor: 4.772

  1 in total

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