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Statistical Genetic Approaches To Investigate Genotype-By-Environment Interaction: Review And Novel Extension Of Models, Vincent P. Diego, Eron G. Manusov, Marcio Almeida, Sandra Laston, David Ortiz, John Blangero, Sarah Williams-Blangero

School of Medicine Publications and Presentations

Statistical genetic models of genotype-by-environment (G×E) interaction can be divided into two general classes, one on G×E interaction in response to dichotomous environments (e.g., sex, disease-affection status, or presence/absence of an exposure) and the other in response to continuous environments (e.g., physical activity, nutritional measurements, or continuous socioeconomic measures). Here we develop a novel model to jointly account for dichotomous and continuous environments. We develop the model in terms of a joint genotype-by-sex (for the dichotomous environment) and genotype-by-social determinants of health (SDoH; for the continuous environment). Using this model, we show how a depression variable, as measured by the …