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多基因风险评分在冠状动脉疾病和心房颤动中的应用。

Polygenic Risk Scores in Coronary Artery Disease and Atrial Fibrillation.

机构信息

North Shore Hospital, Waitemata District Health Board, Auckland, New Zealand; Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand; Theranostics Laboratory, North Shore Hospital, Waitemata District Health Board, Auckland, New Zealand.

Auckland City hospital, Auckland District Health Board, Auckland, New Zealand; Faculty of Medical and Health Science, University of Auckland, Auckland, New Zealand.

出版信息

Heart Lung Circ. 2020 Apr;29(4):634-640. doi: 10.1016/j.hlc.2019.12.004. Epub 2019 Dec 27.

Abstract

Coronary artery disease (CAD) and atrial fibrillation (AF) are two highly prevalent cardiovascular disorders that are associated with substantial morbidity and mortality. Conventional clinical risk factors for these disorders may not be identified prior to mid-adult life when pathophysiological processes are already established. A better understanding of the genetic underpinnings of disease should facilitate early detection of individuals at risk and preventative intervention. Single rare variants of large effect size that are causative for CAD, AF, or predisposing factors such as hypertension or hyperlipidaemia, may give rise to familial forms of disease. However, in most individuals, CAD and AF are complex traits in which combinations of genetic and acquired factors play a role. Common genetic variants that affect disease susceptibility have been identified by genome-wide association studies, but the predictive value of any single variant is limited. To address this issue, polygenic risk scores (PRS), comprised of suites of disease-associated common variants have been devised. In CAD and AF, incorporation of PRS into risk stratification algorithms has provided incremental prognostic information to clinical factors alone. The long-term health and economic benefits of PRS-guided clinical management remain to be determined however, and further evidence-based data are required.

摘要

冠状动脉疾病 (CAD) 和心房颤动 (AF) 是两种高发的心血管疾病,它们与大量的发病率和死亡率相关。这些疾病的传统临床危险因素在中年以前可能无法被识别,因为病理生理过程已经建立。对疾病遗传基础的更好理解应该有助于早期发现高危人群和预防性干预。导致 CAD、AF 或高血压、高血脂等易患因素的单一罕见、大效应量的变异可能会导致疾病的家族形式。然而,在大多数个体中,CAD 和 AF 是复杂的特征,遗传和获得性因素的组合发挥作用。全基因组关联研究已经确定了影响疾病易感性的常见遗传变异,但任何单一变异的预测价值都是有限的。为了解决这个问题,已经设计了由疾病相关常见变异组成的多基因风险评分 (PRS)。在 CAD 和 AF 中,PRS 纳入风险分层算法为临床因素提供了额外的预后信息。然而,PRS 指导的临床管理的长期健康和经济效益仍有待确定,还需要更多基于证据的数据。

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