Circulation. 2022 Aug 23;146(8):e93-e118. doi: 10.1161/CIR.0000000000001077. Epub 2022 Jul 18.
Cardiovascular disease is the leading contributor to years lost due to disability or premature death among adults. Current efforts focus on risk prediction and risk factor mitigation' which have been recognized for the past half-century. However, despite advances, risk prediction remains imprecise with persistently high rates of incident cardiovascular disease. Genetic characterization has been proposed as an approach to enable earlier and potentially tailored prevention. Rare mendelian pathogenic variants predisposing to cardiometabolic conditions have long been known to contribute to disease risk in some families. However, twin and familial aggregation studies imply that diverse cardiovascular conditions are heritable in the general population. Significant technological and methodological advances since the Human Genome Project are facilitating population-based comprehensive genetic profiling at decreasing costs. Genome-wide association studies from such endeavors continue to elucidate causal mechanisms for cardiovascular diseases. Systematic cataloging for cardiovascular risk alleles also enabled the development of polygenic risk scores. Genetic profiling is becoming widespread in large-scale research, including in health care-associated biobanks, randomized controlled trials, and direct-to-consumer profiling in tens of millions of people. Thus, individuals and their physicians are increasingly presented with polygenic risk scores for cardiovascular conditions in clinical encounters. In this scientific statement, we review the contemporary science, clinical considerations, and future challenges for polygenic risk scores for cardiovascular diseases. We selected 5 cardiometabolic diseases (coronary artery disease, hypercholesterolemia, type 2 diabetes, atrial fibrillation, and venous thromboembolic disease) and response to drug therapy and offer provisional guidance to health care professionals, researchers, policymakers, and patients.
心血管疾病是导致成年人残疾或过早死亡的主要原因。目前的努力集中在风险预测和风险因素减轻上,这在过去半个世纪已经得到了认识。然而,尽管取得了进展,风险预测仍然不够精确,心血管疾病的发生率仍然很高。遗传特征分析被提议作为一种方法,以实现更早和潜在的个体化预防。长期以来,人们一直知道,导致心脏代谢疾病的罕见孟德尔致病性变体易使某些家族患病。然而,双胞胎和家族聚集研究表明,多种心血管疾病在普通人群中是遗传的。自人类基因组计划以来,重大的技术和方法进步正在以降低成本的方式促进基于人群的全面遗传特征分析。来自这些研究的全基因组关联研究继续阐明心血管疾病的因果机制。对心血管风险等位基因的系统编目也使得多基因风险评分得以发展。遗传特征分析在大规模研究中越来越广泛,包括在与医疗保健相关的生物库、随机对照试验和数以千万计的人的直接面向消费者的分析中。因此,个体及其医生在临床就诊中越来越多地面临心血管疾病的多基因风险评分。在这份科学声明中,我们回顾了心血管疾病多基因风险评分的当代科学、临床考虑因素和未来挑战。我们选择了 5 种心脏代谢疾病(冠心病、高胆固醇血症、2 型糖尿病、心房颤动和静脉血栓栓塞疾病)以及对药物治疗的反应,并为医疗保健专业人员、研究人员、政策制定者和患者提供了临时指导。