Panel construction for mapping in admixed populations via expected mutual information

Sivan Bercovici, Dan Geiger, Liran Shlush, Karl Skorecki, Alan Templeton

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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 EMI (expected mutual information), that 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 considerably more power and accuracy for inferring disease gene loci via the MALD method in comparison to previous methods.

Original languageEnglish
Title of host publicationResearch in Computational Molecular Biology - 12th Annual International Conference, RECOMB 2008, Proceedings
Pages435-449
Number of pages15
DOIs
StatePublished - 2008
Externally publishedYes
Event"12th Annual InternationalConference on REsearch in COmputational Molecular Biology, RECOMB 2008" - Singapore, Singapore
Duration: 30 Mar 20082 Apr 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4955 LNBI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference"12th Annual InternationalConference on REsearch in COmputational Molecular Biology, RECOMB 2008"
Country/TerritorySingapore
CitySingapore
Period30/03/082/04/08

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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