Literature DB >> 26914801

Empirical testing of a 23-AIMs panel of SNPs for ancestry evaluations in four major US populations.

Xiangpei Zeng1, David H Warshauer2, Jonathan L King2, Jennifer D Churchill2, Ranajit Chakraborty2, Bruce Budowle2,3.   

Abstract

Ancestry informative markers (AIMs) can be used to determine population affiliation of the donors of forensic samples. In order to examine ancestry evaluations of the four major populations in the USA, 23 highly informative AIMs were identified from the International HapMap project. However, the efficacy of these 23 AIMs could not be fully evaluated in silico. In this study, these 23 SNPs were multiplexed to test their actual performance in ancestry evaluations. Genotype data were obtained from 189 individuals collected from four American populations. One SNP (rs12149261) on chromosome 16 was removed from this panel because it was duplicated on chromosome 1. The resultant 22-AIMs panel was able to empirically resolve the four major populations as in the in silico study. Eight individuals were assigned to a different group than indicated on their samples. The assignments of the 22 AIMs for these samples were consistent with AIMs results from the ForenSeq(TM) panel. No departures from Hardy-Weinberg equilibrium (HWE) and linkage disequilibrium (LD) were detected for all 22 SNPs in four US populations (after removing the eight problematic samples). The principal component analysis (PCA) results indicated that 181 individuals from these populations were assigned to the expected groups. These 22 SNPs can contribute to the candidate AIMs pool for potential forensic identification purposes in major US populations.

Entities:  

Keywords:  Ancestry informative markers (AIMs); Custom oligonucleotide probe; Population differentiation; Principal component analysis (PCA); Single nucleotide polymorphisms (SNPs)

Mesh:

Substances:

Year:  2016        PMID: 26914801     DOI: 10.1007/s00414-016-1333-4

Source DB:  PubMed          Journal:  Int J Legal Med        ISSN: 0937-9827            Impact factor:   2.686


  13 in total

1.  Control of confounding of genetic associations in stratified populations.

Authors:  Clive J Hoggart; Eteban J Parra; Mark D Shriver; Carolina Bonilla; Rick A Kittles; David G Clayton; Paul M McKeigue
Journal:  Am J Hum Genet       Date:  2003-06       Impact factor: 11.025

2.  Genetic structure of human populations.

Authors:  Noah A Rosenberg; Jonathan K Pritchard; James L Weber; Howard M Cann; Kenneth K Kidd; Lev A Zhivotovsky; Marcus W Feldman
Journal:  Science       Date:  2002-12-20       Impact factor: 47.728

Review 3.  Genetic ancestry and the search for personalized genetic histories.

Authors:  Mark D Shriver; Rick A Kittles
Journal:  Nat Rev Genet       Date:  2004-08       Impact factor: 53.242

4.  The Genome Analysis Toolkit: a MapReduce framework for analyzing next-generation DNA sequencing data.

Authors:  Aaron McKenna; Matthew Hanna; Eric Banks; Andrey Sivachenko; Kristian Cibulskis; Andrew Kernytsky; Kiran Garimella; David Altshuler; Stacey Gabriel; Mark Daly; Mark A DePristo
Journal:  Genome Res       Date:  2010-07-19       Impact factor: 9.043

5.  Evaluation of the Illumina(®) Beta Version ForenSeq™ DNA Signature Prep Kit for use in genetic profiling.

Authors:  Jennifer D Churchill; Sarah E Schmedes; Jonathan L King; Bruce Budowle
Journal:  Forensic Sci Int Genet       Date:  2015-09-21       Impact factor: 4.882

6.  Selection of highly informative SNP markers for population affiliation of major US populations.

Authors:  Xiangpei Zeng; Ranajit Chakraborty; Jonathan L King; Bobby LaRue; Rodrigo S Moura-Neto; Bruce Budowle
Journal:  Int J Legal Med       Date:  2015-12-08       Impact factor: 2.686

Review 7.  Encoded evidence: DNA in forensic analysis.

Authors:  Mark A Jobling; Peter Gill
Journal:  Nat Rev Genet       Date:  2004-10       Impact factor: 53.242

8.  Examination of ancestry and ethnic affiliation using highly informative diallelic DNA markers: application to diverse and admixed populations and implications for clinical epidemiology and forensic medicine.

Authors:  Nan Yang; Hongzhe Li; Lindsey A Criswell; Peter K Gregersen; Marta E Alarcon-Riquelme; Rick Kittles; Russell Shigeta; Gabriel Silva; Pragna I Patel; John W Belmont; Michael F Seldin
Journal:  Hum Genet       Date:  2005-09-29       Impact factor: 4.132

9.  Skin pigmentation, biogeographical ancestry and admixture mapping.

Authors:  Mark D Shriver; Esteban J Parra; Sonia Dios; Carolina Bonilla; Heather Norton; Celina Jovel; Carrie Pfaff; Cecily Jones; Aisha Massac; Neil Cameron; Archie Baron; Tabitha Jackson; George Argyropoulos; Li Jin; Clive J Hoggart; Paul M McKeigue; Rick A Kittles
Journal:  Hum Genet       Date:  2003-02-11       Impact factor: 4.132

10.  An integrated map of genetic variation from 1,092 human genomes.

Authors:  Goncalo R Abecasis; Adam Auton; Lisa D Brooks; Mark A DePristo; Richard M Durbin; Robert E Handsaker; Hyun Min Kang; Gabor T Marth; Gil A McVean
Journal:  Nature       Date:  2012-11-01       Impact factor: 49.962

View more
  1 in total

1.  [Efficiency of 27-plex single nucleotide polymorphism multiplex system for ancestry inference in different populations].

Authors:  Xing-Ling Feng; Qi-Fan Sun; Hong Liu; Yi-Liang Wei; Wei-An DU; Cai-Xia Li; Ling Chen; Chao Liu
Journal:  Nan Fang Yi Ke Da Xue Xue Bao       Date:  2016-04-20
  1 in total

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