Test Gene-Environment Interactions for Multiple Traits in Sequencing Association Studies.

ABSTRACT:

Motivation

The risk of many complex diseases is determined by an interplay of genetic and environmental factors. The examination of gene-environment interactions (G×Es) for multiple traits can yield valuable insights about the etiology of the disease and increase power in detecting disease-associated genes. However, the methods for testing G×Es for multiple traits are very limited.

Method

We developed novel approaches to test G×Es for multiple traits in sequencing association studies. We first perform a transformation of multiple traits by using either principal component analysis or standardization analysis. Then, we detect the effects of G×Es using novel proposed tests: testing the effect of an optimally weighted combination of G×Es (TOW-GE) and/or variable weight TOW-GE (

SUBMITTER: Zhang J 

PROVIDER: S-EPMC7351593 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature