highly significantp <0.001
Interaction analyses In the logistic regression modelling, we found highly significant ( p <0.001) additive gene effects for the LOC387715 and CFH loci, both having approximately the same effect size ( Table 3 ).
Interaction analyses In the logistic regression modelling, we found highly significant ( p <0.001) additive gene effects for the LOC387715 and CFH loci, both having approximately the same effect size ( Table 3 ).
Possible explanations for this complexity in the logistic regression modelling showed up in further stratified analyses, where we found out that i) ever-smoker women had 4.68-fold (95%CI 1.95–14.12, p = 3.60×10 −4 ) risk of AMD when compared to never-smoker women, whereas in men the odd's ratio was smaller (OR = 2.57) and of borderline significance (95%CI 0.99–6.86, p = 0.054).
The sex×smoking interaction term preserved borderline significance (now, p = 0.065) ( Table 3 ).