Literature DB >> 25038325

Current sequencing technology makes microhaplotypes a powerful new type of genetic marker for forensics.

Kenneth K Kidd1, Andrew J Pakstis2, William C Speed2, Robert Lagacé3, Joseph Chang3, Sharon Wootton3, Eva Haigh2, Judith R Kidd2.   

Abstract

SNPs that are molecularly very close (<10kb) will generally have extremely low recombination rates, much less than 10(-4). Multiple haplotypes will often exist because of the history of the origins of the variants at the different sites, rare recombinants, and the vagaries of random genetic drift and/or selection. Such multiallelic haplotype loci are potentially important in forensic work for individual identification, for defining ancestry, and for identifying familial relationships. The new DNA sequencing capabilities currently available make possible continuous runs of a few hundred base pairs so that we can now determine the allelic combination of multiple SNPs on each chromosome of an individual, i.e., the phase, for multiple SNPs within a small segment of DNA. Therefore, we have begun to identify regions, encompassing two to four SNPs with an extent of <200bp that define multiallelic haplotype loci. We have identified candidate regions and have collected pilot data on many candidate microhaplotype loci. Here we present 31 microhaplotype loci that have at least three alleles, have high heterozygosity, are globally informative, and are statistically independent at the population level. This study of microhaplotype loci (microhaps) provides proof of principle that such markers exist and validates their usefulness for ancestry inference, lineage-clan-family inference, and individual identification. The true value of microhaplotypes will come with sequencing methods that can establish alleles unambiguously, including disentangling of mixtures, because a single sequencing run on a single strand of DNA will encompass all of the SNPs.
Copyright © 2014 The Authors. Published by Elsevier Ireland Ltd.. All rights reserved.

Keywords:  AIMs; AISNPs; Ancestry; Lineage; Microhaplotypes; SNPs

Mesh:

Substances:

Year:  2014        PMID: 25038325     DOI: 10.1016/j.fsigen.2014.06.014

Source DB:  PubMed          Journal:  Forensic Sci Int Genet        ISSN: 1872-4973            Impact factor:   4.882


  29 in total

Review 1.  Separation/extraction, detection, and interpretation of DNA mixtures in forensic science (review).

Authors:  Ruiyang Tao; Shouyu Wang; Jiashuo Zhang; Jingyi Zhang; Zihao Yang; Xiang Sheng; Yiping Hou; Suhua Zhang; Chengtao Li
Journal:  Int J Legal Med       Date:  2018-05-25       Impact factor: 2.686

2.  Mutability analysis towards 21 STR loci included in the AGCU 21 + 1 kit in Chinese Han population.

Authors:  Qiong Lan; Hongdan Wang; Chunmei Shen; Yuxin Guo; Caiyong Yin; Tong Xie; Yating Fang; Yongsong Zhou; Bofeng Zhu
Journal:  Int J Legal Med       Date:  2018-06-13       Impact factor: 2.686

3.  Inferring biogeographic ancestry with compound markers of slow and fast evolving polymorphisms.

Authors:  Amandine Moriot; Carla Santos; Ana Freire-Aradas; Christopher Phillips; Diana Hall
Journal:  Eur J Hum Genet       Date:  2018-07-11       Impact factor: 4.246

4.  A novel set of short microhaplotypes based on non-binary SNPs for forensic challenging samples.

Authors:  Xingchun Zhao; Yang Fan; Moutanou Modeste Judes Zeye; Wei He; Dan Wen; Chudong Wang; Jienan Li; Zichun Hua
Journal:  Int J Legal Med       Date:  2021-10-15       Impact factor: 2.686

5.  Prospective surveillance study to detect antimalarial drug resistance, gene deletions of diagnostic relevance and genetic diversity of Plasmodium falciparum in Mozambique: protocol.

Authors:  Alfredo Mayor; Clemente da Silva; Eduard Rovira-Vallbona; Arantxa Roca-Feltrer; Craig Bonnington; Alexandra Wharton-Smith; Bryan Greenhouse; Caitlin Bever; Arlindo Chidimatembue; Caterina Guinovart; Joshua L Proctor; Maria Rodrigues; Neide Canana; Paulo Arnaldo; Simone Boene; Pedro Aide; Sonia Enosse; Francisco Saute; Baltazar Candrinho
Journal:  BMJ Open       Date:  2022-07-12       Impact factor: 3.006

6.  An overview of SNP-SNP microhaplotypes in the 26 populations of the 1000 Genomes Project.

Authors:  Jiaming Xue; Shengqiu Qu; Mengyu Tan; Yuanyuan Xiao; Ranran Zhang; Dezhi Chen; Meili Lv; Yiming Zhang; Lin Zhang; Weibo Liang
Journal:  Int J Legal Med       Date:  2022-04-09       Impact factor: 2.791

7.  Haplotype Counting for Sensitive Chimerism Testing: Potential for Early Leukemia Relapse Detection.

Authors:  Marija Debeljak; Evelina Mocci; Max C Morrison; Aparna Pallavajjalla; Katie Beierl; Marie Amiel; Michaël Noë; Laura D Wood; Ming-Tseh Lin; Christopher D Gocke; Alison P Klein; Ephraim J Fuchs; Richard J Jones; James R Eshleman
Journal:  J Mol Diagn       Date:  2017-05       Impact factor: 5.568

8.  Rapid adaptive evolution of the diapause program during range expansion of an invasive mosquito.

Authors:  Zachary A Batz; Anthony J Clemento; Jens Fritzenwanker; Timothy J Ring; John Carlos Garza; Peter A Armbruster
Journal:  Evolution       Date:  2020-06-16       Impact factor: 3.694

9.  Criteria for selecting microhaplotypes: mixture detection and deconvolution.

Authors:  Kenneth K Kidd; William C Speed
Journal:  Investig Genet       Date:  2015-01-28

10.  Proposed nomenclature for microhaplotypes.

Authors:  Kenneth K Kidd
Journal:  Hum Genomics       Date:  2016-06-17       Impact factor: 4.639

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