Latent variable models for gene-environment interactions in longitudinal studies with multiple correlated exposures.

ABSTRACT: Many existing cohort studies designed to investigate health effects of environmental exposures also collect data on genetic markers. The Early Life Exposures in Mexico to Environmental Toxicants project, for instance, has been genotyping single nucleotide polymorphisms on candidate genes involved in mental and nutrient metabolism and also in potentially shared metabolic pathways with the environmental exposures. Given the longitudinal nature of these cohort studies, rich exposure and outcome data are available to address novel questions regarding gene-environment interaction (G × E). Latent variable (LV) models have been effectively used for dimension reduction, helping with multiple testing and multicollinearity issues in the presence of correlated multivariate exposures and outcomes. In

SUBMITTER: Tao Y 

PROVIDER: S-EPMC4355187 | biostudies-literature | 2015 Mar

REPOSITORIES: biostudies-literature