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Genotype data for 60 SNP genetic markers associated with eye, hair, skin color, ABO blood group, sex, core Y-chromosome haplogroups in Kazakh population.

Authors :
Bukayev, Alizhan
Aidarov, Baglan
Fesenko, Denis
Saidamarova, Viktoriya
Ivanovsky, Ivan
Maltseva, Elina
Naizabayeva, Dinara
Bukayeva, Ayagoz
Faizov, Bekzhan
Pylev, Vladimir
Darmenov, Akynkali
Skiba, Yuriy
Balanovska, Elena
Zhabagin, Maxat
Source :
BMC Research Notes. 2/18/2024, Vol. 17 Issue 1, p1-6. 6p.
Publication Year :
2024

Abstract

Objectives: The collection of genotype data was conducted as an essential part of a pivotal research project with the goal of examining the genetic variability of skin, hair, and iris color among the Kazakh population. The data has practical application in the field of forensic DNA phenotyping (FDA). Due to the limited size of forensic databases from Central Asia (Kazakhstan), it is practically impossible to obtain an individual identification result based on forensic profiling of short tandem repeats (STRs). However, the pervasive use of the FDA necessitates validation of the currently employed set of genetic markers in a variety of global populations. No such data existed for the Kazakhs. The Phenotype Expert kit (DNA Research Center, LLC, Russia) was used for the first time in this study to collect data. Data description: The present study provides genotype data for a total of 60 SNP genetic markers, which were analyzed in a sample of 515 ethnic Kazakhs. The dataset comprises a total of 41 single nucleotide polymorphisms (SNPs) obtained from the HIrisPlex-S panel. Additionally, there are 4 SNPs specifically related to the AB0 gene, 1 marker associated with the AMELX/Y genes, and 14 SNPs corresponding to the primary haplogroups of the Y chromosome. The aforementioned data could prove valuable to researchers with an interest in investigating genetic variability and making predictions about phenotype based on eye color, hair color, skin color, AB0 blood group, gender, and biogeographic origin within the male lineage. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
17560500
Volume :
17
Issue :
1
Database :
Academic Search Index
Journal :
BMC Research Notes
Publication Type :
Academic Journal
Accession number :
175528027
Full Text :
https://doi.org/10.1186/s13104-024-06712-z