Literature DB >> 31442930

Performance of ancestry-informative SNP and microhaplotype markers.

Elaine Y Y Cheung1, Christopher Phillips2, Mayra Eduardoff3, Maria Victoria Lareu2, Dennis McNevin4.   

Abstract

The use of microhaplotypes (MHs) for ancestry inference has added to an increasing number of ancestry-informative markers (AIMs) for forensic application that includes autosomal single nucleotide polymorphisms (SNPs) and insertions/deletions (indels). This study compares bi-allelic and tri-allelic SNPs as well as MH markers for their ability to differentiate African, European, South Asian, East Asian, and American population groups from the 1000 Genomes Phase 3 database. A range of well-established metrics were applied to rank each marker according to the population differentiation potential they measured. These comprised: absolute allele frequency differences (δ); Rosenberg's informativeness for (ancestry) assignment (In); the fixation index (FST); and the effective number of alleles (Ae). A panel consisting of all three marker types resulted in the lowest mean divergence per population per individual (MDPI = 2.16%) when selected by In. However, when marker types were not mixed, MHs were the highest performing markers by most metrics (MDPI < 4%) for differentiation between the five continental populations.
Copyright © 2019 Elsevier B.V. All rights reserved.

Keywords:  Allele frequency; Ancestry-informative markers; Biogeographical ancestry; Microhaplotype; Population differentiation potential; Single nucleotide polymorphism (SNP)

Mesh:

Substances:

Year:  2019        PMID: 31442930     DOI: 10.1016/j.fsigen.2019.102141

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


  9 in total

1.  The MASTiFF panel-a versatile multiple-allele SNP test for forensics.

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2. 

Authors:  靖 周; 艳 王; 恩萍 徐
Journal:  Zhejiang Da Xue Xue Bao Yi Xue Ban       Date:  2021-12-25

Review 3.  Research progress on application of microhaplotype in forensic genetics.

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Journal:  Zhejiang Da Xue Xue Bao Yi Xue Ban       Date:  2021-12-25

4.  Development and Evaluation of the Ancestry Informative Marker Panel of the VISAGE Basic Tool.

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Journal:  Genes (Basel)       Date:  2021-08-22       Impact factor: 4.096

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

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Journal:  Sci Rep       Date:  2022-05-28       Impact factor: 4.996

6.  A Highly Polymorphic Panel Consisting of Microhaplotypes and Compound Markers with the NGS and Its Forensic Efficiency Evaluations in Chinese Two Groups.

Authors:  Xiaoye Jin; Xingru Zhang; Chunmei Shen; Yanfang Liu; Wei Cui; Chong Chen; Yuxin Guo; Bofeng Zhu
Journal:  Genes (Basel)       Date:  2020-09-01       Impact factor: 4.096

7.  The population genetics characteristics of a 90 locus panel of microhaplotypes.

Authors:  Andrew J Pakstis; Neeru Gandotra; William C Speed; Michael Murtha; Curt Scharfe; Kenneth K Kidd
Journal:  Hum Genet       Date:  2021-10-13       Impact factor: 4.132

8.  Applications of massively parallel sequencing in forensic genetics.

Authors:  Thássia Mayra Telles Carratto; Vitor Matheus Soares Moraes; Tamara Soledad Frontanilla Recalde; Maria Luiza Guimarães de Oliveira; Celso Teixeira Mendes-Junior
Journal:  Genet Mol Biol       Date:  2022-09-19       Impact factor: 2.087

9.  Broadening the Applicability of a Custom Multi-Platform Panel of Microhaplotypes: Bio-Geographical Ancestry Inference and Expanded Reference Data.

Authors:  María de la Puente; Jorge Ruiz-Ramírez; Adrián Ambroa-Conde; Catarina Xavier; Jorge Amigo; María Ángeles Casares de Cal; Antonio Gómez-Tato; Ángel Carracedo; Walther Parson; Christopher Phillips; María Victoria Lareu
Journal:  Front Genet       Date:  2020-10-20       Impact factor: 4.599

  9 in total

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