A New Strategy using Date Integration for Identifying Interactions between Genes and Environment

Abstract

The detection of gene-environment (GE) interactions is very important for dealing with complex diseases. Although some methods have been proposed to detect the interactions between genes and the environment, however, in the case of rare variants, these methods are limited. In this paper, we extend the existing ADA method and proposed a combined strategy (i-ADA) to identify the gene-environment interaction for rare variants. Firstly, we use Levene test to test the equality of variances under different sites. Secondly, based on the first-sep P-values and combined with the ADA method, we design a novel interaction test. Finally, we use the GAW17 dataset to illustrate the practicality of the proposed method.