Whole-genome sequencing data of Kazakh individuals
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 se...
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| Format: | Article |
| Language: | English |
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BMC
2021-02-01
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| Series: | BMC Research Notes |
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| Online Access: | https://doi.org/10.1186/s13104-021-05464-4 |
| _version_ | 1818452760211750912 |
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| author | Ulykbek Kairov Askhat Molkenov Saule Rakhimova Ulan Kozhamkulov Aigul Sharip Daniyar Karabayev Asset Daniyarov Joseph H.Lee Joseph D.Terwilliger Ainur Akilzhanova Zhaxybay Zhumadilov |
| author_facet | Ulykbek Kairov Askhat Molkenov Saule Rakhimova Ulan Kozhamkulov Aigul Sharip Daniyar Karabayev Asset Daniyarov Joseph H.Lee Joseph D.Terwilliger Ainur Akilzhanova Zhaxybay Zhumadilov |
| author_sort | Ulykbek Kairov |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-14T21:28:12Z |
| format | Article |
| id | doaj.art-51278ec0285c48be85dc3a2bfd38cab9 |
| institution | Directory Open Access Journal |
| issn | 1756-0500 |
| language | English |
| last_indexed | 2024-12-14T21:28:12Z |
| publishDate | 2021-02-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Research Notes |
| spelling | doaj.art-51278ec0285c48be85dc3a2bfd38cab92022-12-21T22:46:45ZengBMCBMC Research Notes1756-05002021-02-011411410.1186/s13104-021-05464-4Whole-genome sequencing data of Kazakh individualsUlykbek Kairov0Askhat Molkenov1Saule Rakhimova2Ulan Kozhamkulov3Aigul Sharip4Daniyar Karabayev5Asset Daniyarov6Joseph H.Lee7Joseph D.Terwilliger8Ainur Akilzhanova9Zhaxybay Zhumadilov10Laboratory of Bioinformatics and Systems Biology, Center for Life Sciences, National Laboratory Astana, Nazarbayev UniversityLaboratory of Bioinformatics and Systems Biology, Center for Life Sciences, National Laboratory Astana, Nazarbayev UniversityLaboratory of Genomic and Personalized Medicine, Center for Life Sciences, National Laboratory Astana, Nazarbayev UniversityLaboratory of Genomic and Personalized Medicine, Center for Life Sciences, National Laboratory Astana, Nazarbayev UniversityLaboratory of Bioinformatics and Systems Biology, Center for Life Sciences, National Laboratory Astana, Nazarbayev UniversityLaboratory of Bioinformatics and Systems Biology, Center for Life Sciences, National Laboratory Astana, Nazarbayev UniversityLaboratory of Bioinformatics and Systems Biology, Center for Life Sciences, National Laboratory Astana, Nazarbayev UniversityColumbia UniversityColumbia UniversityLaboratory of Genomic and Personalized Medicine, Center for Life Sciences, National Laboratory Astana, Nazarbayev UniversitySchool of Medicine, Nazarbayev UniversityAbstract 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.https://doi.org/10.1186/s13104-021-05464-4Whole genomeNext-generation sequencingKazakh ethnicityBioinformatics analysisPopulation genomicsGenome annotation |
| spellingShingle | Ulykbek Kairov Askhat Molkenov Saule Rakhimova Ulan Kozhamkulov Aigul Sharip Daniyar Karabayev Asset Daniyarov Joseph H.Lee Joseph D.Terwilliger Ainur Akilzhanova Zhaxybay Zhumadilov Whole-genome sequencing data of Kazakh individuals BMC Research Notes Whole genome Next-generation sequencing Kazakh ethnicity Bioinformatics analysis Population genomics Genome annotation |
| 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 | Whole genome Next-generation sequencing Kazakh ethnicity Bioinformatics analysis Population genomics Genome annotation |
| url | https://doi.org/10.1186/s13104-021-05464-4 |
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