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Forensic efficiency and population genetic construction of Guizhou Gelao minority from Southwest China revealed by a panel of 23 autosomal STR loci.

Authors :
Chai, Siyu
Li, Shuhua
Zhu, Ruxin
Luo, Li
Chen, Kaiqin
Lei, Yinlei
Wan, Weihong
Hu, Xijie
Liu, Shiquan
Chen, Pengyu
Source :
Forensic Sciences Research; Jun2024, Vol. 9 Issue 2, p1-8, 8p
Publication Year :
2024

Abstract

Short tandem repeats (STRs) are the most common genetic markers in forensic and human population genetics due to their high polymorphism, rapid detection, and reliable genotyping. To adapt the rapid growth of forensic DNA database and solve problems in disputed cases, a panel of 23 autosomal STR loci with high discriminating ability was constructed recently. The Tai-Kadai-speaking Gelao is the most ancient indigenous minority in Guizhou province, however, the forensic efficiency and population genetic structure remain poorly explored. Here, 490 Guizhou Gelao individuals from Southwest China were genotyped with the panel of 23 STRs using the Huaxia Platinum Kit. A total of 265 alleles were screened. The combined discrimination power and the combined probability of paternity were 0.9999 and 0.9999, respectively. This indicated the 23 loci had higher discrimination power in Guizhou Gelao and could be applied to forensic practice. Comprehensive population structures with reference populations from China and abroad using the neighbour-joining phylogenetic tree (N-J tree), multidimensional scaling, principal component analysis and heatmap demonstrated that Guizhou Gelao was genetically closer to Guizhou Han than other populations. Moreover, our results showed that a complex phylogenetic model was influenced by ethnic, geographic, and linguistic factors. Key points The first batch of genetic data for 23 autosomal STRs in 490 Geolao individuals from Guizhou was provided. The 23 STR panel can afford high genetic polymorphisms and discrimination power and can be efficiently applied to forensic practice in Guizhou Gelao population. A complex phylogenetic model influenced by ethnic, geographic, and linguistic factors was uncovered. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20961790
Volume :
9
Issue :
2
Database :
Complementary Index
Journal :
Forensic Sciences Research
Publication Type :
Academic Journal
Accession number :
178283215
Full Text :
https://doi.org/10.1093/fsr/owad058