School of Nursing, Department of Physiologic Nursing, University of California, San Francisco 94143, USA.
Eur J Cardiovasc Nurs. 2012 Dec;11(4):472-8. doi: 10.1016/j.ejcnurse.2011.06.001. Epub 2012 Mar 6.
Historically, models to describe disease were exclusively nature-based or nurture-based. Current theoretical models for complex conditions such as cardiovascular disease acknowledge the importance of both biologic and non-biologic contributors to disease. A critical feature is the occurrence of interactions between numerous risk factors for disease. The interaction between genetic (i.e., biologic, nature) and environmental (i.e. non-biologic, nurture) causes of disease is an important mechanism for understanding both the etiology and public health impact of cardiovascular disease.
The purpose of this paper is to describe theoretical underpinnings of gene-environment interactions, models of interaction, methods for studying gene-environment interactions, and the related concept of interactions between epigenetic mechanisms and the environment.
Advances in methods for measurement of genetic predictors of disease have enabled an increasingly comprehensive understanding of the causes of disease. In order to fully describe the effects of genetic predictors of disease, it is necessary to place genetic predictors within the context of known environmental risk factors. The additive or multiplicative effect of the interaction between genetic and environmental risk factors is often greater than the contribution of either risk factor alone.
历史上,描述疾病的模型完全基于自然或培养。目前,心血管疾病等复杂疾病的理论模型承认生物和非生物因素对疾病的重要性。一个关键特征是疾病的众多风险因素之间存在相互作用。疾病的遗传(即生物、自然)和环境(即非生物、培养)原因之间的相互作用是理解心血管疾病的病因和公共卫生影响的重要机制。
本文旨在描述基因-环境相互作用的理论基础、相互作用模型、研究基因-环境相互作用的方法以及环境与表观遗传机制之间相互作用的相关概念。
疾病遗传预测因子测量方法的进步使人们对疾病的病因有了越来越全面的认识。为了充分描述疾病遗传预测因子的影响,有必要将遗传预测因子置于已知环境风险因素的背景下。遗传和环境风险因素之间相互作用的加性或乘法效应通常大于任何单一风险因素的贡献。