Genetic Polymorphisms of 16 X-STR Loci in the Yi Ethnic Minority of Chuxiong Yi Autonomous Prefecture in Yunnan Province in China.

IF 1 4区生物学 Q4 GENETICS & HEREDITY

Annals of Human Genetics Pub Date : 2025-06-16 DOI:10.1111/ahg.12602

Linlin Liu, Hecheng Zheng, Tiantian Zou, Xiangping Li, Renwu Huang, Lili Qing, Shengjie Nie, Liping Hu

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引用次数: 0

Abstract

Background: To study the genetic characteristics of X-chromosome short tandem repeats (X-STRs) in the Yunnan Yi ethnic minority.

Methods: We analyzed the allele frequencies and forensic parameters for 16 X-STR loci in 432 unrelated Yi individuals (206 males and 226 females) in Chuxiong Yi Autonomous Prefecture, Yunnan Province.

Results: A total of 130 alleles were detected. Except for DXS6800, the other loci are highly polymorphic in the Yunnan Yi ethnicity. The combined values of discrimination for males (PDM) and females (PDF) were 0.999999999968561 and 0.999999999999993, respectively, which can be used for forensic medical identification and genetic studies. On the basis of the results of population comparison, there seems to be a relatively close evolutionary relationship between adjacent populations and different ethnic groups in the same region.

Conclusions: This study contributes to X-chromosome genetic polymorphism data for the Yunnan Yi ethnicity and further enriches reference materials on the Chinese Yi ethnic minority.

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云南省楚雄彝族自治州彝族16个X-STR基因座的遗传多态性

背景：研究云南彝族x染色体短串联重复序列（X-STRs）的遗传特征。方法：对云南省楚雄彝族自治州432例无亲缘关系彝族个体（男206例，女226例）16个X-STR基因座的等位基因频率和法医学参数进行分析。结果：共检测到130个等位基因。除DXS6800位点外，其余位点在云南彝族中均具有高度多态性。对男性和女性的鉴别值分别为0.999999999968561和0.99999999999999993，可用于法医鉴定和基因研究。从种群比较的结果来看，同一地区的相邻种群和不同族群之间似乎存在着较为密切的进化关系。结论：本研究提供了云南彝族x染色体遗传多态性数据，进一步丰富了中国彝族的参考资料。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Annals of Human Genetics 生物-遗传学

CiteScore

4.20

自引率

0.00%

发文量

审稿时长

3 months

期刊介绍： Annals of Human Genetics publishes material directly concerned with human genetics or the application of scientific principles and techniques to any aspect of human inheritance. Papers that describe work on other species that may be relevant to human genetics will also be considered. Mathematical models should include examples of application to data where possible. Authors are welcome to submit Supporting Information, such as data sets or additional figures or tables, that will not be published in the print edition of the journal, but which will be viewable via the online edition and stored on the website.