Ancestry Inference of 96 Population Samples Using Microhaplotypes

Overview

Journal Int J Legal Med

Specialty Forensic Sciences

Date 2017 Dec 18

PMID 29248957

Citations 11

Authors

Ozlem Bulbul

Andrew J Pakstis

Usha Soundararajan

Cemal Gurkan

Jane E Brissenden

Janet M Roscoe

Baigalmaa Evsanaa

Ariunaa Togtokh

Peristera Paschou

Elena L Grigorenko

David Gurwitz

Sharon Wootton

Robert Lagace

Joseph Chang

William C Speed

Kenneth K Kidd

Affiliations

Soon will be listed here.

Abstract

Microhaplotypes have become a new type of forensic marker with a great ability to identify and deconvolute mixtures because massively parallel sequencing (MPS) allows the alleles (haplotypes) of the multi-SNP loci to be determined directly for an individual. As originally defined, a microhaplotype locus is a short segment of DNA with two or more SNPs defining three or more haplotypes. The length is short enough, less than about 300 bp, that the read length of current MPS technology can produce a phase-known sequence of each chromosome of an individual. As part of the discovery phase of our studies, data on 130 microhaplotype loci with estimates of haplotype frequency data on 83 populations have been published. To provide a better picture of global allele frequency variation, we have now tested 13 more populations for 65 of the microhaplotype loci from among those with higher levels of inter-population gene frequency variation, including 8 loci not previously published. These loci provide clear distinctions among 6 biogeographic regions and provide some information distinguishing up to 10 clusters of populations.

Citing Articles

Developmental and validation of a novel small and high-efficient panel of microhaplotypes for forensic genetics by the next generation sequencing.

Gu C, Huo W, Huang X, Chen L, Tian S, Ran Q BMC Genomics. 2024; 25(1):958.

PMID: 39402483 PMC: 11475632. DOI: 10.1186/s12864-024-10880-4.

Forensic biogeographical ancestry inference: recent insights and current trends.

Wen Y, Liu J, Su Y, Chen X, Hou Y, Liao L Genes Genomics. 2023; 45(10):1229-1238.

PMID: 37081293 DOI: 10.1007/s13258-023-01387-5.

Multivariate statistical approach and machine learning for the evaluation of biogeographical ancestry inference in the forensic field.

Alladio E, Poggiali B, Cosenza G, Pilli E Sci Rep. 2022; 12(1):8974.

PMID: 35643723 PMC: 9148302. DOI: 10.1038/s41598-022-12903-0.

North Asian population relationships in a global context.

Kidd K, Evsanaa B, Togtokh A, Brissenden J, Roscoe J, Dogan M Sci Rep. 2022; 12(1):7214.

PMID: 35508562 PMC: 9068624. DOI: 10.1038/s41598-022-10706-x.

Research progress on application of microhaplotype in forensic genetics.

Zhou J, Wang Y, Xu E Zhejiang Da Xue Xue Bao Yi Xue Ban. 2022; 50(6):777-782.

PMID: 35347913 PMC: 8931617. DOI: 10.3724/zdxbyxb-2021-0180.

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