Admixture aberration analysis: Application to mapping in admixed population using pooled DNA

Sivan Bercovici, Dan Geiger

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Pages (from-to)237-249
Number of pages13
JournalJournal of Computational Biology
Volume18
Issue number3
DOIs
StatePublished - 1 Mar 2011

Keywords

  • Computational molecular biology
  • Markov chains
  • genetic mapping
  • genetic variation
  • machine learning

All Science Journal Classification (ASJC) codes

  • Modelling and Simulation
  • Molecular Biology
  • Genetics
  • Computational Mathematics
  • Computational Theory and Mathematics

Fingerprint

Dive into the research topics of 'Admixture aberration analysis: Application to mapping in admixed population using pooled DNA'. Together they form a unique fingerprint.

Cite this