Department of Education, University of York.
Perspect Psychol Sci. 2022 Jan;17(1):30-40. doi: 10.1177/1745691620979803. Epub 2021 Mar 1.
Genome-wide association (GWA) studies have shown that genetic influences on individual differences in affect, behavior, and cognition are driven by thousands of DNA variants, each with very small effect sizes. Here, we propose taking inspiration from GWA studies for understanding and modeling the influence of the environment on complex phenotypes. We argue that the availability of DNA microarrays in genetic research is comparable with the advent of digital technologies in psychological science that enable collecting rich, naturalistic observations in real time of the environome, akin to the genome. These data can capture many thousand environmental elements, which we speculate each influence individual differences in affect, behavior, and cognition with very small effect sizes, akin to findings from GWA studies about DNA variants. We outline how the principles and mechanisms of genetic influences on psychological traits can be applied to improve the understanding and models of the environome.
全基因组关联(GWA)研究表明,影响情感、行为和认知个体差异的遗传因素是由数千个 DNA 变体驱动的,每个变体的效应都非常小。在这里,我们建议从 GWA 研究中汲取灵感,以理解和建模环境对复杂表型的影响。我们认为,遗传研究中 DNA 微阵列的可用性可与心理科学中数字技术的出现相媲美,这些技术使我们能够实时实时地收集丰富的、自然主义的环境组观测,类似于基因组。这些数据可以捕捉到数千个环境要素,我们推测每个要素都会对情感、行为和认知的个体差异产生非常小的影响,类似于 GWA 研究关于 DNA 变体的发现。我们概述了遗传对心理特征影响的原则和机制如何应用于改善对环境组的理解和模型。