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基于Y23 STR系统的中国江苏汉族人群内及人群间结构构建

Inner and inter population structure construction of Chinese Jiangsu Han population based on Y23 STR system.

作者信息

Wang Huipin, Ba Huajie, Yang Chun, Zhang Jianqiu, Tai Yunchun

机构信息

Zhongshan City People's Hospital, Zhongshan, Guangdong, P. R., China.

DNA Laboratory, Public Security Bureau of Changzhou, Changzhou, Jiangsu, P. R., China.

出版信息

PLoS One. 2017 Jul 13;12(7):e0180921. doi: 10.1371/journal.pone.0180921. eCollection 2017.

Abstract

In this study, we analyzed the genetic polymorphisms of 23 Y-STR loci from PowerPlex® Y23 system in 916 unrelated healthy male individuals from Chinese Jiangsu Han, and observed 912 different haplotypes including 908 unique haplotypes and 4 duplicate haplotypes. The haplotype diversity reached 0.99999 and the discrimination capacity and match probability were 0.9956 and 0.0011, respectively. The gene diversity values ranged from 0.3942 at DYS438 to 0.9607 at DYS385a/b. Population differentiation within 10 Jiangsu Han subpopulations were evaluated by RST values and visualized in Neighbor-Joining trees and Multi-Dimensional Scaling plots as well as population relationships between the Jiangsu Han population and other 18 Eastern Asian populations. Such results indicated that the 23 Y-STR loci were highly polymorphic in Jiangsu Han population and played crucial roles in forensic application as well as population genetics. For the first time, we reported the genetic diversity of male lineages in Jiangsu Han population at a high-resolution level of 23 Y-STR set and consequently contributed to familial searching, offender tracking, and anthropology analysis of Jiangsu Han population.

摘要

在本研究中,我们分析了来自中国江苏汉族的916名无血缘关系健康男性个体中PowerPlex® Y23系统的23个Y-STR基因座的遗传多态性,观察到912种不同的单倍型,包括908种独特单倍型和4种重复单倍型。单倍型多样性达到0.99999,鉴别能力和匹配概率分别为0.9956和0.0011。基因多样性值范围从DYS438的0.3942到DYS385a/b的0.9607。通过RST值评估了10个江苏汉族亚群体内的群体分化,并在邻接树和多维标度图中可视化,以及江苏汉族群体与其他18个东亚群体之间的群体关系。这些结果表明,23个Y-STR基因座在江苏汉族群体中具有高度多态性,在法医学应用以及群体遗传学中发挥着关键作用。我们首次在23个Y-STR位点的高分辨率水平上报道了江苏汉族群体男性谱系的遗传多样性,从而为江苏汉族群体的家族搜索、罪犯追踪和人类学分析做出了贡献。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1094/5509181/40cba54a6a3f/pone.0180921.g001.jpg

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