Exposure enriched outcome dependent designs for longitudinal studies of gene-environment interaction.

ABSTRACT: Joint effects of genetic and environmental factors have been increasingly recognized in the development of many complex human diseases. Despite the popularity of case-control and case-only designs, longitudinal cohort studies that can capture time-varying outcome and exposure information have long been recommended for gene-environment (G × E) interactions. To date, literature on sampling designs for longitudinal studies of G × E interaction is quite limited. We therefore consider designs that can prioritize a subsample of the existing cohort for retrospective genotyping on the basis of currently available outcome, exposure, and covariate data. In this work, we propose stratified sampling based on summaries of individual exposures and outcome trajectories and develop a full conditional like

SUBMITTER: Sun Z 

PROVIDER: S-EPMC5523112 | biostudies-literature | 2017 Aug

REPOSITORIES: biostudies-literature