A perspective on interaction effects in genetic association studies.

ABSTRACT: The identification of gene-gene and gene-environment interaction in human traits and diseases is an active area of research that generates high expectation, and most often lead to high disappointment. This is partly explained by a misunderstanding of the inherent characteristics of standard regression-based interaction analyses. Here, I revisit and untangle major theoretical aspects of interaction tests in the special case of linear regression; in particular, I discuss variables coding scheme, interpretation of effect estimate, statistical power, and estimation of variance explained in regard of various hypothetical interaction patterns. Linking this components it appears first that the simplest biological interaction models-in which the magnitude of a genetic effect depends on a common ex

SUBMITTER: Aschard H 

PROVIDER: S-EPMC5132101 | biostudies-literature | 2016 Dec

REPOSITORIES: biostudies-literature