A latent variable approach to study gene-environment interactions in the presence of multiple correlated exposures.

ABSTRACT: Many existing cohort studies initially designed to investigate disease risk as a function of environmental exposures have collected genomic data in recent years with the objective of testing for gene-environment interaction (G × E) effects. In environmental epidemiology, interest in G × E arises primarily after a significant effect of the environmental exposure has been documented. Cohort studies often collect rich exposure data; as a result, assessing G × E effects in the presence of multiple exposure markers further increases the burden of multiple testing, an issue already present in both genetic and environment health studies. Latent variable (LV) models have been used in environmental epidemiology to reduce dimensionality of the exposure data, gain power by reducing multiplicity issue

SUBMITTER: Sanchez BN 

PROVIDER: S-EPMC4405908 | biostudies-literature | 2012 Jun

REPOSITORIES: biostudies-literature