Hypothesis-based analysis of gene-gene interactions and risk of myocardial infarction.

ABSTRACT: The genetic loci that have been found by genome-wide association studies to modulate risk of coronary heart disease explain only a fraction of its total variance, and gene-gene interactions have been proposed as a potential source of the remaining heritability. Given the potentially large testing burden, we sought to enrich our search space with real interactions by analyzing variants that may be more likely to interact on the basis of two distinct hypotheses: a biological hypothesis, under which MI risk is modulated by interactions between variants that are known to be relevant for its risk factors; and a statistical hypothesis, under which interacting variants individually show weak marginal association with MI. In a discovery sample of 2,967 cases of early-onset myocardial infarction (M

SUBMITTER: Lucas G 

PROVIDER: S-EPMC3410908 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature