Alternating optimization for GxE modelling with weighted genetic and environmental scores: examples from the MAVAN study

23 Mar 2017Alexia Jolicoeur-MartineauAshley WazanaEszter SzekelyMeir SteinerAlison S. FlemingJames L. KennedyMichael J. MeaneyCelia M. T. Greenwood

Motivated by the goal of expanding currently existing genotype x environment interaction (GxE) models to simultaneously include multiple genetic variants and environmental exposures in a parsimonious way, we developed a novel method to estimate the parameters in a GxE model, where G is a weighted sum of genetic variants (genetic score) and E is a weighted sum of environments (environmental score). The approach uses alternating optimization to estimate the parameters of the GxE model... (read more)

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