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梅州客家人群 17 个常染色体 STR 基因座的遗传多样性。

Genetic diversity of 17 autosomal STR loci in Meizhou Hakka population.

机构信息

Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, Guangdong, People's Republic of China.

Guangzhou Forensic Science Institute, Guangzhou, 510030, Guangdong, People's Republic of China.

出版信息

Int J Legal Med. 2021 Mar;135(2):443-444. doi: 10.1007/s00414-020-02253-9. Epub 2020 Feb 6.

DOI:10.1007/s00414-020-02253-9
PMID:32030456
Abstract

The genetic polymorphism of 17 autosomal short tandem repeat (STR) loci included in the PowerPlex® 18D System was evaluated from 638 unrelated healthy Han individuals of Meizhou in Guangdong Province, Southern China. The values of combined power of discrimination (CPD) and the combined probability of exclusion (CPE) were observed as 0.999999999999999 and 0.999999933. Penta E showed the highest values of polymorphism information content (0.9073), expected heterozygosity (0.9147), and observed heterozygosity (0.9373), whereas TPOX showed the lowest (0.5373, 0.6035, and 0.6082). Furthermore, both of the PCA plot and neighbor-joining phylogenetic tree showed that the Meizhou Hakka population has a relatively close genetic relationship with the Guangdong Han population. The results showed that most of these 17 autosomal STR loci were highly informative and can be effective for forensic individual identification and paternity testing in Meizhou Hakka population.

摘要

从中国南方广东省梅州市的 638 名无关健康汉族个体中评估了包含在 PowerPlex®18D 系统中的 17 个常染色体短串联重复(STR)基因座的遗传多态性。观察到联合判别力(CPD)和联合排除概率(CPE)的值分别为 0.999999999999999 和 0.999999933。Penta E 显示出最高的多态信息含量(0.9073)、预期杂合度(0.9147)和观察杂合度(0.9373),而 TPOX 则显示出最低的多态信息含量(0.5373、0.6035 和 0.6082)。此外,主成分分析(PCA)图和邻接聚类系统发育树都表明,梅州客家人群与广东汉族人群具有相对密切的遗传关系。结果表明,这 17 个常染色体 STR 基因座中的大多数具有高度的信息性,可有效用于梅州客家人群的法医个体识别和亲子鉴定。

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J Clin Lab Anal. 2022 Dec;36(12):e24789. doi: 10.1002/jcla.24789. Epub 2022 Nov 25.
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Insights From Y-STRs: Forensic Characteristics, Genetic Affinities, and Linguistic Classifications of Guangdong Hakka and She Groups.
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Front Genet. 2021 May 24;12:676917. doi: 10.3389/fgene.2021.676917. eCollection 2021.