Semiparametric analysis of complex polygenic gene-environment interactions in case-control studies.

ABSTRACT: Many methods have recently been proposed for efficient analysis of case-control studies of gene-environment interactions using a retrospective likelihood framework that exploits the natural assumption of gene-environment independence in the underlying population. However, for polygenic modelling of gene-environment interactions, which is a topic of increasing scientific interest, applications of retrospective methods have been limited due to a requirement in the literature for parametric modelling of the distribution of the genetic factors. We propose a general, computationally simple, semiparametric method for analysis of case-control studies that allows exploitation of the assumption of gene-environment independence without any further parametric modelling assumptions about the marginal

SUBMITTER: Stalder O 

PROVIDER: S-EPMC5793684 | biostudies-literature | 2017 Dec

REPOSITORIES: biostudies-literature