TEAM: efficient two-locus epistasis tests in human genome-wide association study.

ABSTRACT: As a promising tool for identifying genetic markers underlying phenotypic differences, genome-wide association study (GWAS) has been extensively investigated in recent years. In GWAS, detecting epistasis (or gene-gene interaction) is preferable over single locus study since many diseases are known to be complex traits. A brute force search is infeasible for epistasis detection in the genome-wide scale because of the intensive computational burden. Existing epistasis detection algorithms are designed for dataset consisting of homozygous markers and small sample size. In human study, however, the genotype may be heterozygous, and number of individuals can be up to thousands. Thus, existing methods are not readily applicable to human datasets. In this article, we propose an efficient algorith

SUBMITTER: Zhang X 

PROVIDER: S-EPMC2881371 | biostudies-literature | 2010 Jun

REPOSITORIES: biostudies-literature