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Admixture Aberration Analysis: Application to Mapping in Admixed Population Using Pooled DNA
Author(s) -
Sivan Bercovici,
Dan Geiger
Publication year - 2011
Publication title -
journal of computational biology
Language(s) - English
Resource type - Book series
SCImago Journal Rank - 0.585
H-Index - 95
eISSN - 1557-8666
pISSN - 1066-5277
ISBN - 3-642-12682-0
DOI - 10.1089/cmb.2010.0250
Subject(s) - genotyping , locus (genetics) , computational biology , biology , java , genetic admixture , population , genetics , gene , computer science , genotype , medicine , environmental health , programming language
Abstract Admixture mapping is a gene mapping approach used for the identification of genomic regions harboring disease susceptibility genes in the case of recently admixed populations such as African Americans. We present a novel method for admixture mapping, called admixture aberration analysis (AAA) that uses a DNA pool of affected admixed individuals. We demonstrate through simulations that AAA is a powerful and economical mapping method under a range of scenarios, capturing complex human diseases such as hypertension and end-stage kidney disease. The method has a low false-positive rate and is robust to deviation from model assumptions. Finally, we apply AAA on 600 prostate cancer-affected African Americans, replicating a known risk locus. Simulation results indicate that the method can yield over 96% reduction in genotyping. Our method is implemented as a Java program called AAAmap and is freely available at http://bioinfo.cs.technion.ac.il/AAAmap.

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