Gene-Environment Interaction: A Variable Selection Perspective

03/05/2020
by   Fei Zhou, et al.
0

Gene-environment interactions have important implications to elucidate the genetic basis of complex diseases beyond the joint function of multiple genetic factors and their interactions (or epistasis). In the past, G×E interactions have been mainly conducted within the framework of genetic association studies. The high dimensionality of G×E interactions, due to the complicated form of environmental effects and presence of a large number of genetic factors including gene expressions and SNPs, has motivated the recent development of penalized variable selection methods for dissecting G×E interactions, which has been ignored in majority of published reviews on genetic interaction studies. In this article, we first survey existing overviews on both gene-environment and gene-gene interactions. Then, after a brief introduction on the variable selection methods, we review penalization and relevant variable selection methods in marginal and joint paradigms respectively under a variety of conceptual models. Discussions on strengths and limitations, as well as computational aspects of the variable selection methods tailored for G×E studies have also been provided.

READ FULL TEXT

page 4

page 21

research
06/03/2019

Semi-parametric Bayesian variable selection for gene-environment interactions

Many complex diseases are known to be affected by the interactions betwe...
research
09/01/2022

Variable selection for varying multi-index coefficients models with applications to synergistic GxE interactions

Epidemiological evidence suggests that simultaneous exposures to multipl...
research
02/04/2018

Simultaneous Selection of Multiple Important Single Nucleotide Polymorphisms in Familial Genome Wide Association Studies Data

We propose a resampling-based fast variable selection technique for sele...
research
09/16/2019

Improved Semiparametric Analysis of Polygenic Gene-Environment Interactions in Case-Control Studies

Standard logistic regression analysis of case-control data has low power...
research
04/15/2014

Bayesian Neural Networks for Genetic Association Studies of Complex Disease

Discovering causal genetic variants from large genetic association studi...
research
02/14/2020

A comparison of different types of Niching Genetic Algorithms for variable selection in solar radiation estimation

Variable selection problems generally present more than a single solutio...

Please sign up or login with your details

Forgot password? Click here to reset