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Journal Article

The population genetics characteristics of a 90 locus panel of microhaplotypes

Andrew J. Pakstis; Neeru Gandotra; William C. Speed; Michael Murtha; Curt Scharfe; Kenneth K. Kidd
Human Genetics · Vol. 140, Issue 12 · pp. 1753-1773 · 2021

Abstract

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.

Bibliographic Information

JournalHuman Genetics
PublisherSpringer
Publication Date2021-12-01
Publication Year2021
Volume140
Issue12
Pages1753-1773
Document TypeJournal Article
Print ISSN0340-6717
eISSN1432-1203
DOI10.1007/s00439-021-02382-0

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NARA Access Coverage1964-01-01~Current
Journal Homepagehttps://www.springer.com/journal/439
Publisher PageOpen Publisher Page
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