Natural and orthogonal interaction framework for modeling gene-environment interactions with application to lung cancer.

ABSTRACT:

Objectives

We aimed at extending the Natural and Orthogonal Interaction (NOIA) framework, developed for modeling gene-gene interactions in the analysis of quantitative traits, to allow for reduced genetic models, dichotomous traits, and gene-environment interactions. We evaluate the performance of the NOIA statistical models using simulated data and lung cancer data.

Methods

The NOIA statistical models are developed for additive, dominant, and recessive genetic models as well as for a binary environmental exposure. Using the Kronecker product rule, a NOIA statistical model is built to model gene-environment interactions. By treating the genotypic values as the logarithm of odds, the NOIA statistical models are extended to the analysis of case-control data.

Results

Our

SUBMITTER: Ma J 

PROVIDER: S-EPMC3534768 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature