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We performed a gene-gene interaction analysis using multiple linear regression allowing for a multiplicative interaction term between the two additive-encoded SNPs.
Potential interaction (effect modification) between obstructive CAD and diabetes was evaluated by adding a multiplicative interaction term (obstructive CAD × diabetes) to the Cox model.
We noted a multiplicative interaction between ever having smoked regularly and GSTO1 (ORinteraction = 0.55, 95% CI: 0.33 0.92) and GSTO2 (ORinteraction = 0.54, 95% CI: 0.32 0.90).
Models with the main effect of genotype and the covariate of interest were compared to models with the main effects of genotype and the covariate of interest, plus a multiplicative interaction term of the two variables.
Also by an alternative model [35], [36] according to which that vergence enhancement is the result of a multiplicative interaction between a weighted saccadic burst signal and the vergence motor error driving the vergence system.
Combining results from both groups and including women with both less and more severe disease, we ran a Cox model with CD4 count as a continuous variable (var 4), a time-dependent covariate equal to 1 if weaning occurred before the optimally selected age (0 otherwise – var 5), and a multiplicative interaction term between weaning and CD4 count (var 6).
*Indicates a multiplicative interaction term.
Under a multiplicative interaction, OR11 = OR10OR01.
HIV, tuberculosis, and silicosis have a multiplicative interaction.
We assumed a multiplicative interaction effect on the logit scale.
We tested for effect modification by introducing a multiplicative interaction term into the models.
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