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首页> 外文期刊>Cardiovascular drugs and therapy >Polygenic Risk Score: Clinically Useful Tool for Prediction of Cardiovascular Disease and Benefit from Lipid-Lowering Therapy?
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Polygenic Risk Score: Clinically Useful Tool for Prediction of Cardiovascular Disease and Benefit from Lipid-Lowering Therapy?

机译:多基因风险评分:用于预测心血管疾病的临床有用的工具,从降脂治疗中受益?

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摘要

Improvement in risk prediction of atherosclerotic cardiovascular disease (ASCVD) using information on the genetic predisposition at an individual level might offer new possibilities for the successful management of such complex trait. Latest developments in genetic research with the conduction of genome-wide association studies have facilitated a broader utility of polygenic risk score (PRS) as a potent risk prognosticator, being strongly associated with future cardiovascular events. Although its discriminative ability beyond traditional risk factors is still a matter of controversy, PRS possesses at least comparable risk information to that provided by traditional risk tools. More importantly, increased genetic risk for ASCVD might be discovered at younger ages, much longer before conventional risk factors become manifest, thereby providing a potent instrument for aggressive primordial and primary prevention in those at high risk. Furthermore, there is strong evidence that inherited risk may be successfully modulated by a healthy lifestyle or medication use (e.g., statins or PCSK-9 inhibitors). Here, we provide a short overview of the current research related to the possible application of PRS in clinical routine and critically discuss existing pitfalls, which still limit a widespread utility of PRS outside a research setting.
机译:利用个体水平上的遗传易感性信息改善动脉粥样硬化性心血管疾病(ASCVD)的风险预测,可能为成功管理这种复杂特征提供新的可能性。基因研究的最新进展以及全基因组关联研究的开展,促进了多基因风险评分(PRS)作为一种有效的风险预测工具的广泛应用,它与未来的心血管事件密切相关。尽管PRS超越传统风险因素的识别能力仍存在争议,但它至少拥有与传统风险工具提供的风险信息相当的风险信息。更重要的是,ASCVD的遗传风险增加可能在年轻人中发现,比传统风险因素显现的时间要长得多,从而为高危人群的积极原始和一级预防提供了有力的工具。此外,有强有力的证据表明,健康的生活方式或药物使用(如他汀类药物或PCSK-9抑制剂)可以成功调节遗传风险。在这里,我们简要概述了与PRS在临床常规中的可能应用相关的当前研究,并批判性地讨论了现有的缺陷,这些缺陷仍然限制了PRS在研究环境之外的广泛应用。

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