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Chunk #26 — Statistical Methods for Testing and Estimating GxE Interactions — Methods for the joint analysis of G and GxE

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Gene-environment interactions in cancer epidemiology: a National Cancer Institute Think Tank report.
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test that do not show strong evidence for multiplicative interaction when a standard GxE interaction test is performed [Hancock, et al. 2012; Manning, et al. 2012]. In one case the joint test allowed for identification of novel genetic loci not because of underlying GxE interactions, but because of precision gained by including a known risk-factor in a linear regression model [Manning, et al. 2012]; however, such a gain in power may not be realized with logistic regression [Mefford and Witte 2012].