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Thus, recent models have emphasized two polygenic approaches: a hypothesis\u2010driven multilocus genetic profile score (MGPS; \u201cMGPS\u2009\u00d7\u2009E\u201d) and a polygenic risk score (PRS; \u201cPRS\u2009\u00d7\u2009E\u201d) derived from genome\u2010wide association studies (GWAS). This review for the first time synthesizes current knowledge on polygene by environment \u201cP\u2009\u00d7\u2009E\u201d interaction research predicting primarily depression\u2010related outcomes, and in brief, neurobiological outcomes. The \u201cenvironment\u201d of focus in this project is stressful life events. It further discusses findings in the context of differential susceptibility and diathesis\u2010stress theories\u2014two major theories guiding G\u2009\u00d7\u2009E work. This synthesis indicates that, within the MGPS literature, polygenic scores based on the serotonin system, the HPA axis, or across multiple systems, interact with environmental stress exposure to predict outcomes at multiple levels of analyses and most consistently align with differential susceptibility theory. Depressive outcomes are the most studied, but neuroendocrine, and neuroimaging findings are observed as well. 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