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.
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Bercovici, S., Geiger, D. (2010). Admixture Aberration Analysis: Application to Mapping in Admixed Population Using Pooled DNA. In: Berger, B. (eds) Research in Computational Molecular Biology. RECOMB 2010. Lecture Notes in Computer Science(), vol 6044. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12683-3_3
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DOI: https://doi.org/10.1007/978-3-642-12683-3_3
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