The population genetics characteristics of a 90 locus panel of microhaplotypes

被引:16
|
作者
Pakstis, Andrew J. [1 ]
Gandotra, Neeru [1 ]
Speed, William C. [1 ]
Murtha, Michael [1 ]
Scharfe, Curt [1 ]
Kidd, Kenneth K. [1 ]
机构
[1] Yale Univ, Sch Med, Dept Genet, New Haven, CT 06520 USA
基金
美国国家卫生研究院;
关键词
POWERFUL NEW-TYPE; ANCESTRY INFERENCE; MULTIPLEX ASSAY; MARKERS; DIVERSITY; SYSTEM; SET;
D O I
10.1007/s00439-021-02382-0
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Single-nucleotide polymorphisms (SNPs) and small genomic regions with multiple SNPs (microhaplotypes, MHs) are rapidly emerging as novel forensic investigative tools to assist in individual identification, kinship analyses, ancestry inference, and deconvolution of DNA mixtures. Here, we analyzed information for 90 microhaplotype loci in 4009 individuals from 79 world populations in 6 major biogeographic regions. The study included multiplex microhaplotype sequencing (mMHseq) data analyzed for 524 individuals from 16 populations and genotype data for 3485 individuals from 63 populations curated from public repositories. Analyses of the 79 populations revealed excellent characteristics for this 90-plex MH panel for various forensic applications achieving an overall average effective number of allele values (A(e)) of 4.55 (range 1.04-19.27) for individualization and mixture deconvolution. Population-specific random match probabilities ranged from a low of 10(-115) to a maximum of 10(-66). Mean informativeness (I-n) for ancestry inference was 0.355 (range 0.117-0.883). 65 novel SNPs were detected in 39 of the MHs using mMHseq. Of the 3018 different microhaplotype alleles identified, 1337 occurred at frequencies > 5% in at least one of the populations studied. The 90-plex MH panel enables effective differentiation of population groupings for major biogeographic regions as well as delineation of distinct subgroupings within regions. Open-source, web-based software is available to support validation of this technology for forensic case work analysis and to tailor MH analysis for specific geographical regions.
引用
收藏
页码:1753 / 1773
页数:21
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