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

Aygerim Serikzhan, Asset Daniyarov, Askhat Molkenov et al.

41130972 PubMed ID
14 Authors
2025-10-23 Published
626 Views
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

AS
Aygerim Serikzhan
AD
Asset Daniyarov
AM
Askhat Molkenov
AA
Ainur Akhmetova
ZA
Zhannur Abilova
AS
Aigul Sharip
DY
Dauren Yerezhepov
SR
Saule Rakhimova
UK
Ulan Kozhamkulov
AK
Almagul Kushugulova
SA
Sholpan Askarova
DS
Dos Sarbassov
AA
Ainur Akilzhanova
UK
Ulykbek Kairov
Chapter II

Abstract

Summary of the research findings

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.

Chapter III

AI-Generated Summary

AI-generated by DNAGENICS

Independent AI summary of ancestry and genetic findings from the published study

Important: This summary is AI-generated by DNAGENICS for informational purposes only. It was not created by, affiliated with, or endorsed by the researchers behind the original publication, and is based solely on that published research. It may contain errors or omissions. DNAGENICS disclaims all liability for any inaccuracies or consequences arising from use of this information. Verify all information against the original publication. This is not professional scientific review or medical advice.

Summary

Key Findings

Ancestry Insights

Traits Analysis

Historical Context