Panel construction for mapping in admixed populations via expected mutual information | Zendy

Sivan Bercovici | Zendy; Dan Geiger | Zendy; Liran I. Shlush | Zendy; Karl Skorecki | Zendy; Alan R. Templeton | Zendy

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Panel construction for mapping in admixed populations via expected mutual information

Author(s) -

Sivan Bercovici,

Dan Geiger,

Liran I. Shlush,

Karl Skorecki,

Alan R. Templeton

Publication year - 2008

Publication title -

genome research

Language(s) - English

Resource type - Book series

SCImago Journal Rank - 9.556

H-Index - 297

eISSN - 1549-5469

pISSN - 1088-9051

ISBN - 3-540-78838-7

DOI - 10.1101/gr.073148.107

Subject(s) - biology , linkage disequilibrium , mutual information , genetics , identification (biology) , computational biology , linkage (software) , selection (genetic algorithm) , gene , set (abstract data type) , haplotype , allele , artificial intelligence , computer science , botany , programming language

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.

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