Deriving stratified effects from joint models investigating gene-environment interactions.

ABSTRACT:

Background

Models including an interaction term and performing a joint test of SNP and/or interaction effect are often used to discover Gene-Environment (GxE) interactions. When the environmental exposure is a binary variable, analyses from exposure-stratified models which consist of estimating genetic effect in unexposed and exposed individuals separately can be of interest. In large-scale consortia focusing on GxE interactions in which only the joint test has been performed, it may be challenging to get summary statistics from both exposure-stratified and marginal (i.e not accounting for interaction) models.

Results

In this work, we developed a simple framework to estimate summary statistics in each stratum of a binary exposure and in the marginal model using summary stati

SUBMITTER: Laville V 

PROVIDER: S-EPMC7302007 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature