Genomic landscape of the Great Steppe: Genetic variants in healthy Kazakh individuals

Aygerim Serikzhan; Asset Daniyarov; Askhat Molkenov; Ainur Akhmetova; Zhannur Abilova; Aigul Sharip; Dauren Yerezhepov; Saule Rakhimova; Ulan Kozhamkulov; Almagul Kushugulova; Sholpan Askarova; Dos Sarbassov; Ainur Akilzhanova; Ulykbek Kairov

doi:10.1038/s41597-025-05964-z

Genomic landscape of the Great Steppe: Genetic variants in healthy Kazakh individuals

School of Sciences and Humanities

National Laboratory Astana
L.N. Gumilyov Eurasian National University

Research output: Contribution to journal › Article › peer-review

2 Citations (Scopus)

Abstract

Genomic studies on Central Asian populations are still limited, and this study presents the first comprehensive, high-quality genotyping dataset for 224 healthy individuals of Kazakh origin. The data were generated using the Illumina Infinium SNP Genotyping Array GSA MG v2, covering 665,608 SNPs, with 523,630 SNPs retained after quality control. This dataset serves as a valuable reference for comparative studies focused on human genomics, supporting research in population clustering, ethnicity validation, and diverse biomedical investigations on Kazakh individuals. This resource marks a significant contribution to genomic research on individuals from underrepresented region of Central Asia.

Original language	English
Article number	1679
Journal	Scientific Data
Volume	12
Issue number	1
DOIs	https://doi.org/10.1038/s41597-025-05964-z
Publication status	Published - Dec 2025

Funding

We thank all the participants in this study. This research has been funded by the Science Committee of the Ministry of Science and Higher Education of the Republic of Kazakhstan (Grants No. AP23490594, BR18574184, BR24993023, BR24992841, BR27199879), Nazarbayev University funding CRP grants 021220CRP2222, 211123CRP1608, 11022021CRP1511, 20122022CRP1602.

Funders	Funder number
Ministry of Education and Science of the Republic of Kazakhstan	BR18574184, AP23490594, BR24993023, BR27199879, BR24992841
Nazarbayev University	021220CRP2222, 20122022CRP1602, 211123CRP1608, 11022021CRP1511

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

ASJC Scopus subject areas

Statistics and Probability
Information Systems
Education
Computer Science Applications
Statistics, Probability and Uncertainty
Library and Information Sciences

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10.1038/s41597-025-05964-z

Cite this

Serikzhan, A., Daniyarov, A., Molkenov, A., Akhmetova, A., Abilova, Z., Sharip, A., Yerezhepov, D., Rakhimova, S., Kozhamkulov, U., Kushugulova, A., Askarova, S., Sarbassov, D., Akilzhanova, A., & Kairov, U. (2025). Genomic landscape of the Great Steppe: Genetic variants in healthy Kazakh individuals. Scientific Data, 12(1), Article 1679. https://doi.org/10.1038/s41597-025-05964-z

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AU - Daniyarov, Asset

AU - Molkenov, Askhat

AU - Akhmetova, Ainur

AU - Abilova, Zhannur

AU - Sharip, Aigul

AU - Yerezhepov, Dauren

AU - Rakhimova, Saule

AU - Kozhamkulov, Ulan

AU - Kushugulova, Almagul

AU - Askarova, Sholpan

AU - Sarbassov, Dos

AU - Akilzhanova, Ainur

AU - Kairov, Ulykbek

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Genomic landscape of the Great Steppe: Genetic variants in healthy Kazakh individuals

Abstract

Funding

UN SDGs

ASJC Scopus subject areas

Access to Document

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