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Comprehensive analyses for genetic diversities of 19 autosomal STRs in Chinese Kazak group and its phylogenetic relationships with other continental populations

Authors :
Yijie Wang
Xiaoye Jin
Wenqing Zhang
Wei Cui
Tingting Kong
Chong Chen
Yuxin Guo
Haotian Meng
Bofeng Zhu
Source :
Forensic Sciences Research, Vol 0, Iss 0, Pp 1-9 (2020)
Publication Year :
2020
Publisher :
Oxford University Press, 2020.

Abstract

Short tandem repeats (STRs) play an essential role in forensic genetics due to their high degree of polymorphisms, wide distributions and easy detection method. In this study, allelic frequencies and forensic statistical parameters of the 19 autosomal STR loci in a Kazak ethnic group were calculated, and its genetic relationships with reference populations were assessed in order to understand population structure better and enrich population genetic data for forensic practice in Chinese Kazak ethnic group. There were 226 identified alleles with the corresponding allelic frequencies ranging from 0.0008 to 0.5295 in the 628 unrelated healthy Kazak individuals in Xinjiang Uygur Autonomous Region. All autosomal STRs were conformed to the Hardy-Weinberg equilibrium after Bonferroni’s correction. The cumulative power of discrimination and the combined probability of exclusion of all the 19 autosomal STRs were 0.999 999 999 999 999 999 999 997 162 and 0.999 999 994 484, respectively. Furthermore, the DA distances and Fixation index values of pairwise populations, principal component analysis, multidimensional scaling analysis, phylogenetic tree analysis and structure analysis were conducted to probe the genetic relationships between the Kazak group and other reference populations. The population genetic results showed that these 19 autosomal STR loci were characterised by high genetic diversities in the Kazak group. Furthermore, the studied Kazak group had close genetic relationships with the Uyghur group and the Uzbek group. The present results may facilitate understanding the genetic background of the Chinese Xinjiang Kazak group.

Details

Language :
English
ISSN :
20961790 and 24711411
Issue :
0
Database :
Directory of Open Access Journals
Journal :
Forensic Sciences Research
Publication Type :
Academic Journal
Accession number :
edsdoj.2027c050535c41498e055dcd67e5b2ea
Document Type :
article
Full Text :
https://doi.org/10.1080/20961790.2020.1751379