Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 2250 Alcazar Street, CSC202, Los Angeles, CA, 90033, USA.
Department of Biochemistry and Molecular Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90033, USA.
Curr Atheroscler Rep. 2021 Oct 14;23(12):75. doi: 10.1007/s11883-021-00974-9.
We provide an overview of recent findings with respect to gene-environment (GxE) interactions for cardiovascular disease (CVD) risk and discuss future opportunities for advancing the field.
Over the last several years, GxE interactions for CVD have mostly been identified for smoking and coronary artery disease (CAD) or related risk factors. By comparison, there is more limited evidence for GxE interactions between CVD outcomes and other exposures, such as physical activity, air pollution, diet, and sex. The establishment of large consortia and population-based cohorts, in combination with new computational tools and mouse genetics platforms, can potentially overcome some of the limitations that have hindered human GxE interaction studies and reveal additional association signals for CVD-related traits. The identification of novel GxE interactions is likely to provide a better understanding of the pathogenesis and genetic liability of CVD, with significant implications for healthy lifestyles and therapeutic strategies.
本文就心血管疾病（CVD）风险的基因-环境（GxE）相互作用的最新发现进行了概述，并讨论了该领域未来的研究机会。
在过去几年中，主要发现了吸烟与冠心病（CAD）或相关危险因素之间的 CVD GxE 相互作用。相比之下，CVD 结局与其他暴露（如体力活动、空气污染、饮食和性别）之间的 GxE 相互作用的证据更为有限。大型联盟和基于人群的队列的建立，结合新的计算工具和小鼠遗传学平台，有可能克服阻碍人类 GxE 相互作用研究的一些限制，并为与 CVD 相关特征的额外关联信号提供证据。新型 GxE 相互作用的鉴定可能会更好地了解 CVD 的发病机制和遗传易感性，并对健康的生活方式和治疗策略具有重要意义。
