Identification of gene-by-environment interactions (GxE) is crucial to understand the
interplay of environmental effects on complex traits. However, current methods evaluating …

The growing sample size of genome-wide association studies has facilitated the discovery of
gene-environment interactions (GxE). Here we propose a maximum likelihood method to …

The contribution of gene-by-environment (GxE) interactions for many human traits and
diseases is poorly characterized. We propose a Bayesian whole-genome regression model …

Different exposures, including diet, physical activity, or external conditions can contribute to
genotype–environment interactions (G× E). Although high-dimensional environmental data …

Identifying interactions between genetics and the environment (GxE) remains challenging.
We have developed EAGLE, a hierarchical Bayesian model for identifying GxE interactions …

Genetic variation in response to the environment, that is, genotype-by-environment
interaction (GxE), is fundamental in the biology of complex traits and diseases. However …

Motivation Gene–environment interaction (GEI) studies are a general framework that can be
used to identify genetic variants that modify the effects of environmental, physiological …

Many genome-wide association studies and genome-wide screening for gene–environment
(GxE) interactions have been performed to elucidate the underlying mechanisms of human …

ABSTRACT A genome‐wide association study (GWAS) typically is focused on detecting
marginal genetic effects. However, many complex traits are likely to be the result of the …

Genotype-by-environment interaction (GEI) is a fundamental component in understanding
complex trait variation. However, it remains challenging to identify genetic variants with GEI …