PDF(Pubmed)
Abstract：
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 Beck Depression Inventory-II survey instrument, is not only underlain by genetic effects (as has been reported elsewhere) but is also significantly determined by joint G×Sex and G×SDoH interaction effects. This model has numerous applications leading to potentially transformative research on the genetic and environmental determinants underlying complex diseases.
摘要：
基因型与环境（G×E）相互作用的统计遗传模型可以分为两个一般类别，一个关于响应二分环境的G×E相互作用(例如，性别,疾病影响状态，或暴露的存在/不存在)和另一个响应于连续环境(例如，身体活动,营养测量，或连续的社会经济措施)。在这里，我们开发了一种新颖的模型来共同考虑二分和连续的环境。我们根据性别的联合基因型（对于二分环境）和健康的社会决定因素（SDoH；对于连续环境）来开发模型。使用这个模型，我们展示了抑郁变量，根据贝克抑郁量表-II调查工具的测量，不仅受到遗传效应的影响（如其他地方报道的那样），而且还受到G×Sex和G×SDoH相互作用效应的显着决定。该模型具有许多应用，可以对复杂疾病的遗传和环境决定因素进行潜在的变革性研究。
