Admixture Aberration Analysis: Application to Mapping in Admixed Population Using Pooled DNA

نویسندگان

  • Sivan Bercovici
  • Dan Geiger
چکیده

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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عنوان ژورنال:
  • Journal of computational biology : a journal of computational molecular cell biology

دوره 18 3  شماره 

صفحات  -

تاریخ انتشار 2010