A penalized robust method for identifying gene-environment interactions.

ABSTRACT: In high-throughput studies, an important objective is to identify gene-environment interactions associated with disease outcomes and phenotypes. Many commonly adopted methods assume specific parametric or semiparametric models, which may be subject to model misspecification. In addition, they usually use significance level as the criterion for selecting important interactions. In this study, we adopt the rank-based estimation, which is much less sensitive to model specification than some of the existing methods and includes several commonly encountered data and models as special cases. Penalization is adopted for the identification of gene-environment interactions. It achieves simultaneous estimation and identification and does not rely on significance level. For computation feasibility, a

SUBMITTER: Shi X 

PROVIDER: S-EPMC4356211 | biostudies-literature | 2014 Apr

REPOSITORIES: biostudies-literature