A two-stage testing strategy for detecting genes×environment interactions in association studies.

ABSTRACT: Identifying gene×environment (G×E) interactions, especially when rare variants are included in genome-wide association studies, is a major challenge in statistical genetics. However, the detection of G×E interactions is very important for understanding the etiology of complex diseases. Although currently some statistical methods have been developed to detect the interactions between genes and environment, the detection of the interactions for the case of rare variants is still limited. Therefore, it is particularly important to develop a new method to detect the interactions between genes and environment for rare variants. In this study, we extend an existing method of adaptive combination of P-values (ADA) and design a novel strategy (called iSADA) for testing the effects of G×E interacti

SUBMITTER: Zhou J 

PROVIDER: S-EPMC8496220 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature