Literature DB >> 16382826

Informativeness of the CODIS STR loci for admixture analysis.

Jill S Barnholtz-Sloan1, Carrie L Pfaff, Ranajit Chakraborty, Jeffrey C Long.   

Abstract

Population admixture (or ancestry) is used as an approach to gene discovery in complex diseases, particularly when the disease prevalence varies widely across geographic populations. Admixture analysis could be useful for forensics because an indication of a perpetrator's ancestry would narrow the pool of suspects for a particular crime. The purpose of this study was to use Fisher's information to identify informative sets of markers for admixture analysis. Using published founding population allele frequencies we test three marker sets for efficacy for estimating admixture: the FBI CODIS Core STR loci, the HGDP-CEPH Human Genome Diversity Cell Line Panel and the set of 39 ancestry informative SNPS from the Shriver lab at Pennsylvania State University. We conclude that the FBI CODIS Core STR set is valid for admixture analysis, but not the most precise. We recommend using a combination of the most informative markers from the HGDP-CEPH and Shriver loci sets.

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Year:  2005        PMID: 16382826

Source DB:  PubMed          Journal:  J Forensic Sci        ISSN: 0022-1198            Impact factor:   1.832


  6 in total

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2.  CoAIMs: a cost-effective panel of ancestry informative markers for determining continental origins.

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Journal:  Investig Genet       Date:  2011-05-04

4.  Forensic efficiency estimate and phylogenetic analysis for Chinese Kyrgyz ethnic group revealed by a panel of 21 short tandem repeats.

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Journal:  R Soc Open Sci       Date:  2018-06-13       Impact factor: 2.963

5.  A systematic scoping review of the genetic ancestry of the Brazilian population.

Authors:  Aracele Maria de Souza; Sarah Stela Resende; Taís Nóbrega de Sousa; Cristiana Ferreira Alves de Brito
Journal:  Genet Mol Biol       Date:  2019-11-14       Impact factor: 1.771

6.  Population structure in a comprehensive genomic data set on human microsatellite variation.

Authors:  Trevor J Pemberton; Michael DeGiorgio; Noah A Rosenberg
Journal:  G3 (Bethesda)       Date:  2013-05-20       Impact factor: 3.154

  6 in total

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