Polygenic Risk Scores and Extreme Coronary Artery Calcium Phenotypes (CAC=0 and CAC≥1000) in Adults ≥75 Years Old: The ARIC Study.

IF 6.5 1区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS Circulation: Cardiovascular Imaging Pub Date : 2024-11-01 Epub Date: 2024-11-13 DOI:10.1161/CIRCIMAGING.123.016377
Omar Dzaye, Alexander C Razavi, Zeina A Dardari, Frances M Wang, Yasuyuki Honda, Khurram Nasir, Josef Coresh, Candace M Howard-Claudio, Jin Jin, Bing Yu, Paul S de Vries, Lynne Wagenknecht, Aaron R Folsom, Ron Blankstein, Tanika N Kelly, Seamus P Whelton, Martin Bødtker Mortensen, Ziqiao Wang, Nilanjan Chatterjee, Kunihiro Matsushita, Michael J Blaha
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Abstract

Background: Coronary artery calcium (CAC) is heterogeneous in older age and is incompletely explained by traditional atherosclerotic cardiovascular disease risk factors. The extremes of subclinical atherosclerosis burden are strongly associated with either a low or high 10-year risk of incident atherosclerotic cardiovascular disease, respectively. However, the genetic underpinnings of differences in arterial aging remain unclear. We sought to determine the independent association of 2 polygenic scores for coronary heart disease (CHD) with CAC in adults ≥75 years of age.

Methods: There were 1865 ARIC (Atherosclerosis Risk in Communities) participants who underwent genetic testing at visit 1 (1987-1989) and CAC scans at visit 7 (2018-2019). In the primary analysis, an externally derived multi-ancestry polygenic CHD risk score was calculated for both White and Black participants. Results were confirmed using a separate ARIC-derived polygenic CHD risk score, including ≥6 million variants computed for White participants. We used multivariable logistic regression models to assess the association of polygenic CHD risk with CAC, after adjusting for baseline, time-averaged lifestyle, traditional risk factors, and local ancestry principal components.

Results: In the primary analysis, the average age was 80.6 years old, 61.6% were women, and the median CAC score was 246 (189 participants with CAC=0, 364 participants with CAC≥1000). Compared with persons below the 20th percentile of polygenic CHD risk, persons with polygenic-CHD risk above the 80th percentile had 82% lower odds of having CAC=0 (odds ratio, 0.18 [95% CI, 0.09-0.37]) and had >4-fold higher odds of CAC≥1000 (odds ratio, 4.77 [95% CI, 2.88-7.88]). On a continuous scale, each SD increment increase in the polygenic risk score was associated with a 78% higher CAC score. Results were nearly identical using a second confirmatory polygenic CHD risk score in White participants.

Conclusions: Polygenic CHD risk is robustly associated with a lower prevalence of CAC=0 and a higher prevalence of CAC≥1000 in adults ≥75 years of age, beyond lifestyle and traditional risk factors. These results suggest a heritable contribution to distinct healthy and unhealthy arterial aging phenotypes that persist throughout the life course.

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年龄≥75 岁成年人的多基因风险评分和极端冠状动脉钙表型(CAC=0 和 CAC≥1000):ARIC研究。
背景:老年冠状动脉钙化(CAC)具有异质性,传统的动脉粥样硬化性心血管疾病风险因素无法完全解释。亚临床动脉粥样硬化负担的极值分别与发生动脉粥样硬化性心血管疾病的 10 年低风险或高风险密切相关。然而,动脉老化差异的遗传基础仍不清楚。我们试图确定年龄≥75 岁的成年人冠心病(CHD)的 2 个多基因评分与 CAC 的独立关联:1865名ARIC(社区动脉粥样硬化风险)参与者在第1次就诊(1987-1989年)时接受了基因检测,并在第7次就诊(2018-2019年)时接受了CAC扫描。在主要分析中,为白人和黑人参与者计算了外部得出的多世系多基因冠心病风险评分。使用单独的 ARIC 派生多基因心脏病风险评分对结果进行了确认,其中包括为白人参与者计算的≥600 万个变异。在对基线、时间平均生活方式、传统风险因素和当地血统主成分进行调整后,我们使用多变量逻辑回归模型评估了多基因心脏病风险与 CAC 的关联:在主要分析中,参与者的平均年龄为 80.6 岁,61.6% 为女性,CAC 中位数为 246 分(189 人 CAC=0 分,364 人 CAC≥1000 分)。与多基因心脏病风险低于第 20 百分位数的人相比,多基因心脏病风险高于第 80 百分位数的人患 CAC=0 的几率低 82%(几率比为 0.18 [95% CI,0.09-0.37]),患 CAC≥1000 的几率高出 4 倍以上(几率比为 4.77 [95% CI,2.88-7.88])。从连续的角度来看,多基因风险评分每增加一个 SD 值,CAC 评分就会增加 78%。在白人参与者中使用第二个确认性多基因冠心病风险评分的结果几乎相同:结论:在年龄≥75 岁的成年人中,多基因冠心病风险与较低的 CAC=0 患病率和较高的 CAC≥1000 患病率密切相关,而与生活方式和传统风险因素无关。这些结果表明,健康和不健康的动脉老化表型是由遗传因素造成的,这种表型在整个生命过程中持续存在。
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来源期刊
CiteScore
6.30
自引率
2.70%
发文量
225
审稿时长
6-12 weeks
期刊介绍: Circulation: Cardiovascular Imaging, an American Heart Association journal, publishes high-quality, patient-centric articles focusing on observational studies, clinical trials, and advances in applied (translational) research. The journal features innovative, multimodality approaches to the diagnosis and risk stratification of cardiovascular disease. Modalities covered include echocardiography, cardiac computed tomography, cardiac magnetic resonance imaging and spectroscopy, magnetic resonance angiography, cardiac positron emission tomography, noninvasive assessment of vascular and endothelial function, radionuclide imaging, molecular imaging, and others. Article types considered by Circulation: Cardiovascular Imaging include Original Research, Research Letters, Advances in Cardiovascular Imaging, Clinical Implications of Molecular Imaging Research, How to Use Imaging, Translating Novel Imaging Technologies into Clinical Applications, and Cardiovascular Images.
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