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Article

Detecting epistatic effects in association studies at a genomic level based on an ensemble approach.

Bioinformatics (Oxford, England) - 1 Jul 2011

Li Jing, Horstman Benjamin, Chen Yixuan

Abstract excerpt

MOTIVATION: Most complex diseases involve multiple genes and their interactions. Although genome-wide association studies (GWAS) have shown some success for identifying genetic variants underlying complex diseases, most existing studies are based on limited single-locus approaches, which detect single nucleotide polymorphisms (SNPs) essentially based on their marginal associations with phenotypes. RESULTS: In...

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PMID: 21685074
DOI: 10.1093/bioinformatics/btr227
PMCID: PMC3117367

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