Genome-wide association studies (GWASs) have shown that pleiotropy is widespread (i.e., the same genetic variants affect multiple traits) and that complex traits are polygenic (i.e., affected by many genetic variants with very small effect sizes). However, despite the growing number of GWASs, the possible contribution of gene-environment correlations (rGEs) to pleiotropy and polygenicity has been mostly ignored. rGEs can lead to environmentally mediated pleiotropy or gene-environment-trait correlations (rGETs), given that an environment that is affected by one genetically influenced phenotype, can in turn affect a different phenotype. By adding correlations with environmentally mediated genetic variants, rGETs can contribute to polygenicity. Socioeconomic status (SES) and the experience of stressful life events may, for example, be involved in rGETs. Both are genetically influenced and have been associated with a myriad of physical and mental disorders. As a result, GWASs of these disorders may find the genetic correlates of SES and stressful life events. Consequently, some of the genetic correlates of physical and mental disorders may be modified by public policy that affects environments such as SES and stressful life events. Thus, identifying rGETs can shed light on findings from GWASs and have important implications for public health.

中文翻译：

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E在G中：基因-环境-特质的相关性和全基因组关联研究的发现。

全基因组关联研究（GWAS）表明，多效性是普遍存在的（即，相同的遗传变异影响多个性状），而复杂的性状是多基因的（即，受许多影响很小的遗传变异影响）。然而，尽管GWAS的数量在增加，但基因环境相关性（rGE）对多效性和多基因性的可能贡献已被大多数人忽略。考虑到受一种遗传影响的表型影响的环境又可以影响另一种表型，rGE可以导致环境介导的多效性或基因-环境特征相关性（rGET）。通过增加与环境介导的遗传变异的相关性，rGETs可以促进多基因性。例如，社会经济地位（SES）和生活压力大的经历可能会 参与rGET。两者均受基因影响，并与多种身体和精神疾病有关。结果，这些疾病的GWAS可能会发现SES和压力性生活事件的遗传相关性。因此，可以通过影响环境如SES和压力性生活事件的公共政策来修改某些身体和精神疾病的遗传相关因素。因此，识别rGET可以揭示GWAS的发现，并对公共卫生具有重要意义。可能会影响社会环境（如SES和压力性生活事件）的公共政策会修改某些身体和精神疾病的遗传相关因素。因此，识别rGET可以揭示GWAS的发现，并对公共卫生具有重要意义。可能会影响社会环境（如SES和压力性生活事件）的公共政策会修改某些身体和精神疾病的遗传相关因素。因此，识别rGET可以揭示GWAS的发现，并对公共卫生具有重要意义。