Developmental validation of a 381 Y-chromosome SNP panel for haplogroup analysis in the Chinese populations

单倍群 SNP公司 遗传学 单核苷酸多态性 基因分型 生物 SNP阵列 人口 Y染色体 核苷酸多型性 SNP基因分型 一致性 基因型 单倍型 基因 医学 环境卫生
作者
Ruiyang Tao,Min Li,Si-Yu Chai,Ruocheng Xia,Yiling Qu,Chunyan Yuan,Guangyuan Yang,Xinyu Dong,Yingnan Bian,Suhua Zhang,Chengtao Li
出处
期刊:Forensic Science International-genetics [Elsevier]
卷期号:62: 102803-102803 被引量:5
标识
DOI:10.1016/j.fsigen.2022.102803
摘要

Y-chromosome single nucleotide polymorphism (Y-SNP) shows great variation in geographical distribution and population heterogeneity and can be used to map population genetics around the world. Massive parallel sequencing (MPS) methodology enables high-resolution Y-SNP haplogrouping for a certain male and is widely used in forensic genetics and evolutionary studies. In this present study, we used MPS to develop a customized 381 Y-SNP panel (SifaMPS 381 Y-SNP panel) to investigate the basic structure and subbranches of the haplogroup tree of the Chinese populations. The SifaMPS 381 Y-SNP panel covers all the Y-SNPs from our previously designed 183 Y-SNP panel and additional SNPs under the predominant haplogroups in the Chinese populations based on certain criteria. We also evaluated the sequencing matrix, concordance, sensitivity, repeatability of this panel and the ability to analyze mixed and case-type samples based on the Illumina MiSeq System. The results demonstrated that the novel MPS Y-SNP panel possessed good sequencing performance and generated accurate Y-SNP genotyping results. Although the recommended DNA input was greater than 1.25 ng, we observed that a lower DNA amount could still be used to analyze haplogroups correctly. In addition, this panel could handle mixed samples and common case-type samples and had higher resolution among Chinese Han males than previously reported. In conclusion, the SifaMPS 381 Y-SNP panel showed an overall good performance and offers a better choice for Y-SNP haplogrouping of the Chinese population, thereby facilitating paternal lineage classification, familial searching and other forensic applications.
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