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Research Publication

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
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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

Analysis

Comprehensive review of ancestry and genetic findings

Important Disclaimer: This review has been performed semi-automatically and is provided for informational purposes only. While we strive for accuracy, this analysis may contain errors, omissions, or misinterpretations of the original research. DNA Genics disclaims all liability for any inaccuracies, errors, or consequences arising from the use of this information. Users should independently verify all information and consult original research publications before making any decisions based on this content. This analysis is not intended as a substitute for professional scientific review or medical advice.

Summary

Key Findings

Ancestry Insights

Traits Analysis

Historical Context

Scientific Assessment