Panel construction for mapping in admixed populations via expected mutual information.
Computer Science Department, Technion, Haifa 32000, Israel. sberco@cs.technion.ac.il
Mapping by admixture linkage disequilibrium (MALD) is an economical and powerful approach for the identification of genomic regions harboring disease susceptibility genes in recently admixed populations. We develop an information-theory-based measure, called expected mutual information (EMI), which computes the impact of a set of markers on the ability to infer ancestry at each chromosomal location. We then present a simple and effective algorithm for the selection of panels that strives to maximize the EMI score. Finally, we demonstrate via well-established simulation tools that our panels provide more power and accuracy for inferring disease gene loci via the MALD method in comparison to previous methods.
PMID: 18353806 [PubMed - indexed for MEDLINE]
PMCID: PMC2279253