RAPID detection of gene-gene interactions in genome-wide association studies.

ABSTRACT:

Motivation

In complex disorders, independently evolving locus pairs might interact to confer disease susceptibility, with only a modest effect at each locus. With genome-wide association studies on large cohorts, testing all pairs for interaction confers a heavy computational burden, and a loss of power due to large Bonferroni-like corrections. Correspondingly, limiting the tests to pairs that show marginal effect at either locus, also has reduced power. Here, we describe an algorithm that discovers interacting locus pairs without explicitly testing all pairs, or requiring a marginal effect at each locus. The central idea is a mathematical transformation that maps 'statistical correlation between locus pairs' to 'distance between two points in a Euclidean space'. This enables the u

SUBMITTER: Brinza D 

PROVIDER: S-EPMC3493125 | biostudies-literature | 2010 Nov

REPOSITORIES: biostudies-literature