Professor and Vice Chair, Department of Internal Medicine, Sanford School of Medicine, University of South Dakota, Sioux Falls; Professor and Chair, Department of Internal Medicine, Sanford School of Medicine, University of South Dakota, Sioux Falls.
Professor and Vice Chair, Department of Internal Medicine, Sanford School of Medicine, University of South Dakota, Sioux Falls; Professor and Chair, Department of Internal Medicine, Sanford School of Medicine, University of South Dakota, Sioux Falls.
Am J Med. 2021 Dec;134(12):1476-1482. doi: 10.1016/j.amjmed.2021.07.006. Epub 2021 Jul 31.
Each of us reflects a unique convergence of DNA and the environment. Over the past 2 decades, huge biobanks linked to electronic medical records have positioned the clinical and scientific communities to understand the complex genetic architecture underlying many common diseases. Although these efforts are producing increasingly accurate gene-based risk prediction algorithms for use in routine clinical care, the algorithms often fail to include environmental factors. This review explores the concept of heritability (genetic vs nongenetic determinants of disease), with emphasis on the role of environmental factors as risk determinants for common complex diseases influenced by air and water quality. Efforts to define patient exposure to specific toxicants in practice-based data sets will deepen our understanding of diseases with low heritability, and improved land management practices will reduce the burden of disease.
我们每个人都反映了 DNA 和环境的独特融合。在过去的 20 年中,与电子病历相关联的大型生物库使临床和科学界能够了解许多常见疾病背后复杂的遗传结构。尽管这些努力正在为常规临床护理生成越来越准确的基于基因的风险预测算法,但这些算法往往未能包括环境因素。本综述探讨了遗传性(疾病的遗传与非遗传决定因素)的概念,重点介绍了环境因素作为受空气质量和水质影响的常见复杂疾病的风险决定因素的作用。在基于实践的数据集定义患者接触特定毒物的努力将加深我们对遗传性低的疾病的理解,而改进土地管理实践将减轻疾病负担。