Literature DB >> 16139099

Inference of human geographic origins using Alu insertion polymorphisms.

David A Ray1, Jerilyn A Walker, Ashley Hall, Barbara Llewellyn, Jack Ballantyne, Allen T Christian, Kenneth Turteltaub, Mark A Batzer.   

Abstract

The inference of an individual's geographic ancestry or origin can be critical in narrowing the field of potential suspects in a criminal investigation. Most current technologies rely on single nucleotide polymorphism (SNP) genotypes to accomplish this task. However, SNPs can introduce homoplasy into an analysis since they can be identical-by-state. We introduce the use of insertion polymorphisms based on short interspersed elements (SINEs) as a potential alternative to SNPs. SINE polymorphisms are identical-by-descent, essentially homoplasy-free, and inexpensive to genotype using a variety of approaches. Herein, we present results of a blind study using 100 Alu insertion polymorphisms to infer the geographic ancestry of 18 unknown individuals from a variety of geographic locations. Using a Structure analysis of the Alu insertion polymorphism-based genotypes, we were able to correctly infer the geographic affiliation of all 18 unknown human individuals with high levels of confidence. This technique to infer the geographic affiliation of unknown human DNA samples will be a useful tool in forensic genomics.

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Year:  2005        PMID: 16139099     DOI: 10.1016/j.forsciint.2004.10.017

Source DB:  PubMed          Journal:  Forensic Sci Int        ISSN: 0379-0738            Impact factor:   2.395


  23 in total

1.  Laboratory methods for the analysis of primate mobile elements.

Authors:  David A Ray; Kyudong Han; Jerilyn A Walker; Mark A Batzer
Journal:  Methods Mol Biol       Date:  2010

2.  Whole genome computational comparative genomics: A fruitful approach for ascertaining Alu insertion polymorphisms.

Authors:  Jianxin Wang; Lei Song; M Katherine Gonder; Sami Azrak; David A Ray; Mark A Batzer; Sarah A Tishkoff; Ping Liang
Journal:  Gene       Date:  2006-01-10       Impact factor: 3.688

3.  Inverse PCR-based method for isolating novel SINEs from genome.

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Journal:  Mol Biotechnol       Date:  2014-04       Impact factor: 2.695

4.  Reading TE leaves: new approaches to the identification of transposable element insertions.

Authors:  David A Ray; Mark A Batzer
Journal:  Genome Res       Date:  2011-06       Impact factor: 9.043

5.  A new set of markers for human identification based on 32 polymorphic Alu insertions.

Authors:  Ilgar Z Mamedov; Irina A Shagina; Marya A Kurnikova; Sergey N Novozhilov; Dmitry A Shagin; Yury B Lebedev
Journal:  Eur J Hum Genet       Date:  2010-02-24       Impact factor: 4.246

6.  Methodological Considerations in Studying Centenarians: Lessons Learned From the Georgia Centenarian Studies.

Authors:  Leonard W Poon; Michal Jazwinski; Robert C Green; John L Woodard; Peter Martin; Willard L Rodgers; Mary Ann Johnson; Dorothy Hausman; Jonathan Arnold; Adam Davey; Mark A Batzer; William R Markesbery; Maria Gearing; Ilene C Siegler; Sandra Reynolds; Jianliang Dai
Journal:  Annu Rev Gerontol Geriatr       Date:  2007-01-01

7.  LINEs and SINEs of primate evolution.

Authors:  Miriam K Konkel; Jerilyn A Walker; Mark A Batzer
Journal:  Evol Anthropol       Date:  2010-11-01

8.  Assignment of unknown persons to their geographical origin by determination of stable isotopes in hair samples.

Authors:  Elisabeth Mützel Rauch; Christine Lehn; Oliver Peschel; Stefan Hölzl; Andreas Rossmann
Journal:  Int J Legal Med       Date:  2008-09-24       Impact factor: 2.686

9.  Proportioning whole-genome single-nucleotide-polymorphism diversity for the identification of geographic population structure and genetic ancestry.

Authors:  Oscar Lao; Kate van Duijn; Paula Kersbergen; Peter de Knijff; Manfred Kayser
Journal:  Am J Hum Genet       Date:  2006-02-14       Impact factor: 11.025

10.  Developing a set of ancestry-sensitive DNA markers reflecting continental origins of humans.

Authors:  Paula Kersbergen; Kate van Duijn; Ate D Kloosterman; Johan T den Dunnen; Manfred Kayser; Peter de Knijff
Journal:  BMC Genet       Date:  2009-10-27       Impact factor: 2.797

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