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Sex Differences in the Association of Genome-Wide Systolic Blood Pressure Polygenic Risk Score With Hypertension. 全基因组收缩压多基因风险评分与高血压相关性的性别差异。
IF 6 2区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2023-12-01 Epub Date: 2023-10-09 DOI: 10.1161/CIRCGEN.123.004259
Naman S Shetty, Akhil Pampana, Nirav Patel, Peng Li, Krishin Yerabolu, Mokshad Gaonkar, Garima Arora, Pankaj Arora
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引用次数: 0
Cardiovascular Disease Knowledge Portal: A Community Resource for Cardiovascular Disease Research. 心血管疾病知识门户:心血管疾病研究的社区资源。
IF 6 2区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2023-12-01 Epub Date: 2023-10-10 DOI: 10.1161/CIRCGEN.123.004181
Maria C Costanzo, Carolina Roselli, MacKenzie Brandes, Marc Duby, Quy Hoang, Dongkeun Jang, Ryan Koesterer, Parul Kudtarkar, Annie Moriondo, Trang Nguyen, Oliver Ruebenacker, Patrick Smadbeck, Ying Sun, Adam S Butterworth, Krishna G Aragam, R Thomas Lumbers, Amit V Khera, Steven A Lubitz, Patrick T Ellinor, Kyle J Gaulton, Jason Flannick, Noël P Burtt
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引用次数: 0
Metabolite Signature of Life's Essential 8 and Risk of Coronary Heart Disease Among Low-Income Black and White Americans. 在低收入美国黑人和白人中,生命必需的代谢物特征和冠心病的风险。
IF 6 2区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2023-12-01 Epub Date: 2023-11-28 DOI: 10.1161/CIRCGEN.123.004230
Kui Deng, Deepak K Gupta, Xiao-Ou Shu, Loren Lipworth, Wei Zheng, Victoria E Thomas, Hui Cai, Qiuyin Cai, Thomas J Wang, Danxia Yu

Background: Life's essential 8 (LE8) is a comprehensive construct of cardiovascular health. Yet, little is known about the LE8 score, its metabolic correlates, and their predictive implications among Black Americans and low-income individuals.

Methods: In a nested case-control study of coronary heart disease (CHD) among 299 pairs of Black and 298 pairs of White low-income Americans from the Southern Community Cohort Study, we estimated LE8 score and applied untargeted plasma metabolomics and elastic net with leave-one-out cross-validation to identify metabolite signature (MetaSig) of LE8. Associations of LE8 score and MetaSig with incident CHD were examined using conditional logistic regression. The mediation effect of MetaSig on the LE8-CHD association was also examined. The external validity of MetaSig was evaluated in another nested CHD case-control study among 299 pairs of Chinese adults.

Results: Higher LE8 score was associated with lower CHD risk (standardized odds ratio, 0.61 [95% CI, 0.53-0.69]). The MetaSig, consisting of 133 metabolites, showed significant correlation with LE8 score (r=0.61) and inverse association with CHD (odds ratio, 0.57 [0.49-0.65]), robust to adjustment for LE8 score and across participants with different sociodemographic and health status ([odds ratios, 0.42-0.69]; all P<0.05). MetaSig mediated a large portion of the LE8-CHD association: 53% (32%-80%). Significant associations of MetaSig with LE8 score and CHD risk were found in validation cohort (r=0.49; odds ratio, 0.57 [0.46-0.69]).

Conclusions: Higher LE8 score and its MetaSig were associated with lower CHD risk among low-income Black and White Americans. Metabolomics may offer an objective measure of LE8 and its metabolic phenotype relevant to CHD prevention among diverse populations.

背景:Life's essential 8 (LE8)是心血管健康的综合指标。然而,人们对LE8评分、代谢相关性及其在美国黑人和低收入人群中的预测意义知之甚少。方法:在一项来自南方社区队列研究的299对黑人和298对白人低收入美国人冠心病(CHD)的巢式病例对照研究中,我们估计了LE8评分,并应用非靶向血浆代谢组学和弹性网进行留用交叉验证,以确定LE8的代谢物特征(MetaSig)。采用条件logistic回归检验LE8评分和MetaSig与冠心病事件的关系。MetaSig对LE8-CHD关联的中介作用也进行了研究。MetaSig的外部有效性在另一项包含299对中国成年人的嵌套冠心病病例对照研究中进行了评估。结果:LE8评分越高,冠心病风险越低(标准化优势比为0.61 [95% CI, 0.53-0.69])。由133种代谢物组成的MetaSig与LE8评分呈显著相关(r=0.61),与冠心病呈负相关(比值比为0.57[0.49-0.65]),对LE8评分和不同社会人口统计学和健康状况的参与者进行校正具有稳健性([比值比,0.42-0.69];所有公关= 0.49;优势比为0.57[0.46-0.69])。结论:在低收入美国黑人和白人中,较高的LE8评分及其meta分析与较低的冠心病风险相关。代谢组学可以提供不同人群中与冠心病预防相关的LE8及其代谢表型的客观测量。
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引用次数: 0
Potential Diagnostic Role for a Combined Postmortem DNA and RNA Sequencing for Brugada Syndrome. 死后DNA和RNA测序对Brugada综合征的潜在诊断作用。
IF 6 2区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2023-12-01 Epub Date: 2023-10-05 DOI: 10.1161/CIRCGEN.122.004251
Carlos Bueno-Beti, David C Johnson, Chris Miles, Joseph Westaby, Mary N Sheppard, Elijah R Behr, Angeliki Asimaki
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引用次数: 0
Genotype-Phenotype Taxonomy of Hypertrophic Cardiomyopathy. 肥厚性心肌病的基因型-表型分类。
IF 6 2区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2023-12-01 Epub Date: 2023-11-28 DOI: 10.1161/CIRCGEN.123.004200
Lara Curran, Antonio de Marvao, Paolo Inglese, Kathryn A McGurk, Pierre-Raphaël Schiratti, Adam Clement, Sean L Zheng, Surui Li, Chee Jian Pua, Mit Shah, Mina Jafari, Pantazis Theotokis, Rachel J Buchan, Sean J Jurgens, Claire E Raphael, Arun John Baksi, Antonis Pantazis, Brian P Halliday, Dudley J Pennell, Wenjia Bai, Calvin W L Chin, Rafik Tadros, Connie R Bezzina, Hugh Watkins, Stuart A Cook, Sanjay K Prasad, James S Ware, Declan P O'Regan

Background: Hypertrophic cardiomyopathy (HCM) is an important cause of sudden cardiac death associated with heterogeneous phenotypes, but there is no systematic framework for classifying morphology or assessing associated risks. Here, we quantitatively survey genotype-phenotype associations in HCM to derive a data-driven taxonomy of disease expression.

Methods: We enrolled 436 patients with HCM (median age, 60 years; 28.8% women) with clinical, genetic, and imaging data. An independent cohort of 60 patients with HCM from Singapore (median age, 59 years; 11% women) and a reference population from the UK Biobank (n=16 691; mean age, 55 years; 52.5% women) were also recruited. We used machine learning to analyze the 3-dimensional structure of the left ventricle from cardiac magnetic resonance imaging and build a tree-based classification of HCM phenotypes. Genotype and mortality risk distributions were projected on the tree.

Results: Carriers of pathogenic or likely pathogenic variants for HCM had lower left ventricular mass, but greater basal septal hypertrophy, with reduced life span (mean follow-up, 9.9 years) compared with genotype negative individuals (hazard ratio, 2.66 [95% CI, 1.42-4.96]; P<0.002). Four main phenotypic branches were identified using unsupervised learning of 3-dimensional shape: (1) nonsarcomeric hypertrophy with coexisting hypertension; (2) diffuse and basal asymmetrical hypertrophy associated with outflow tract obstruction; (3) isolated basal hypertrophy; and (4) milder nonobstructive hypertrophy enriched for familial sarcomeric HCM (odds ratio for pathogenic or likely pathogenic variants, 2.18 [95% CI, 1.93-2.28]; P=0.0001). Polygenic risk for HCM was also associated with different patterns and degrees of disease expression. The model was generalizable to an independent cohort (trustworthiness, M1: 0.86-0.88).

Conclusions: We report a data-driven taxonomy of HCM for identifying groups of patients with similar morphology while preserving a continuum of disease severity, genetic risk, and outcomes. This approach will be of value in understanding the causes and consequences of disease diversity.

背景:肥厚性心肌病(HCM)是与异质性表型相关的心源性猝死的重要原因,但目前尚无系统的形态学分类或相关风险评估框架。在这里,我们定量调查了HCM中的基因型-表型关联,以获得疾病表达的数据驱动分类。方法:我们招募了436例HCM患者(中位年龄60岁;28.8%女性),有临床、遗传和影像学资料。来自新加坡的60例HCM患者的独立队列研究(中位年龄59岁;11%女性)和参考人群来自UK Biobank (n= 16691;平均年龄55岁;52.5%的女性)也被招募。我们利用机器学习分析了心脏磁共振成像左心室的三维结构,并建立了基于树的HCM表型分类。基因型和死亡风险分布被预测到树上。结果:与基因型阴性个体相比,HCM致病性或可能致病性变异携带者左心室体积较小,但基底间隔肥大较大,寿命缩短(平均随访时间9.9年)(风险比2.66 [95% CI, 1.42-4.96];页= 0.0001)。HCM的多基因风险也与不同的疾病表达模式和程度有关。该模型可推广到一个独立的队列(可信度,M1: 0.86-0.88)。结论:我们报告了一种数据驱动的HCM分类方法,用于识别具有相似形态学的患者群体,同时保留疾病严重程度、遗传风险和结果的连续性。这种方法将有助于理解疾病多样性的原因和后果。
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引用次数: 0
Compound Heterozygous Truncating Variants in the BAG5 Gene As a Cause of Early-Onset Dilated Cardiomyopathy. BAG5基因中的复合杂合子截短变体是早期发病的扩张型心肌病的原因。
IF 6 2区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2023-12-01 Epub Date: 2023-10-24 DOI: 10.1161/CIRCGEN.123.004282
Shunsuke Inoue, Toshiyuki Ko, Seitaro Nomura, Takanobu Yamada, Bo Zhang, Zhehao Dai, Takahiro Jimba, Manami Katoh, Junichi Ishida, Eisuke Amiya, Masaru Hatano, Norifumi Takeda, Hiroyuki Morita, Minoru Ono, Issei Komuro
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引用次数: 0
Hypertrophic Cardiomyopathy Secondary to RAF1 Cysteine-Rich Domain Variants. RAF1富含半胱氨酸结构域变体继发的肥厚性心肌病。
IF 6 2区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2023-12-01 Epub Date: 2023-10-31 DOI: 10.1161/CIRCGEN.123.004262
Dominic E Fullenkamp, Ryan M Jorgensen, Desiree F Leach, Arjun Sinha, Isabella M Salamone, Jamie R Johnston, Lisa M Dellefave-Castillo, Lubna Choudhury, Elizabeth M McNally, Lisa D Wilsbacher
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引用次数: 0
Combining Polygenic and Proteomic Risk Scores With Clinical Risk Factors to Improve Performance for Diagnosing Absence of Coronary Artery Disease in Patients With de novo Chest Pain. 将多基因和蛋白质组风险评分与临床风险因素相结合,提高诊断新发胸痛患者无冠状动脉疾病的能力。
IF 7.4 2区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2023-10-01 Epub Date: 2023-09-27 DOI: 10.1161/CIRCGEN.123.004053
Peter Loof Møller, Palle Duun Rohde, Jonathan Nørtoft Dahl, Laust Dupont Rasmussen, Samuel Emil Schmidt, Louise Nissen, Victoria McGilligan, Jacob F Bentzon, Daniel F Gudbjartsson, Kari Stefansson, Hilma Holm, Simon Winther, Morten Bøttcher, Mette Nyegaard

Background: Patients with de novo chest pain, referred for evaluation of possible coronary artery disease (CAD), frequently have an absence of CAD resulting in millions of tests not having any clinical impact. The objective of this study was to investigate whether polygenic risk scores and targeted proteomics improve the prediction of absence of CAD in patients with suspected CAD, when added to the PROMISE (Prospective Multicenter Imaging Study for Evaluation of Chest Pain) minimal risk score (PMRS).

Methods: Genotyping and targeted plasma proteomics (N=368 proteins) were performed in 1440 patients with symptoms suspected to be caused by CAD undergoing coronary computed tomography angiography. Based on individual genotypes, a polygenic risk score for CAD (PRSCAD) was calculated. The prediction was performed using combinations of PRSCAD, proteins, and PMRS as features in models using stability selection and machine learning.

Results: Prediction of absence of CAD yielded an area under the curve of PRSCAD-model, 0.64±0.03; proteomic-model, 0.58±0.03; and PMRS model, 0.76±0.02. No significant correlation was found between the genetic and proteomic risk scores (Pearson correlation coefficient, -0.04; P=0.13). Optimal predictive ability was achieved by the full model (PRSCAD+protein+PMRS) yielding an area under the curve of 0.80±0.02 for absence of CAD, significantly better than the PMRS model alone (P<0.001). For reclassification purpose, the full model enabled down-classification of 49% (324 of 661) of the 5% to 15% pretest probability patients and 18% (113 of 611) of >15% pretest probability patients.

Conclusions: For patients with chest pain and low-intermediate CAD risk, incorporating targeted proteomics and polygenic risk scores into the risk assessment substantially improved the ability to predict the absence of CAD. Genetics and proteomics seem to add complementary information to the clinical risk factors and improve risk stratification in this large patient group.

Registration: URL: https://www.

Clinicaltrials: gov; Unique identifier: NCT02264717.

背景:被转诊评估可能的冠状动脉疾病(CAD)的新发胸痛患者经常没有CAD,导致数百万次检测没有任何临床影响。本研究的目的是研究多基因风险评分和靶向蛋白质组学是否能改善疑似CAD患者无CAD的预测,将其添加到PROMISE(用于评估胸痛的前瞻性多中心成像研究)最低风险评分(PMRS)中。方法:对1440名接受冠状动脉计算机断层扫描血管造影术的疑似CAD症状患者进行基因分型和靶向血浆蛋白质组学(N=368种蛋白质)。根据个体基因型,计算CAD的多基因风险评分(PRSCAD)。在使用稳定性选择和机器学习的模型中,使用PRSCAD、蛋白质和PMRS的组合作为特征进行预测。结果:预测无CAD时,PRSCAD模型的曲线下面积为0.64±0.03;蛋白质组学模型,0.58±0.03;PMRS模型为0.76±0.02。遗传和蛋白质组学风险评分之间没有发现显著的相关性(Pearson相关系数,-0.04;P=0.013)。全模型(PRSCAD+蛋白质+PMRS)在没有CAD的情况下产生0.80±0.02的曲线下面积,实现了最佳的预测能力,明显优于单独的PMRS模型(P15%的预测概率患者。结论:对于胸痛和中低度CAD风险的患者,将靶向蛋白质组学和多基因风险评分纳入风险评估大大提高了预测无CAD的能力。遗传学和蛋白质组学似乎为临床风险因素增加了补充信息,并改善了这一大样本的风险分层ient组。注册:URL:https://www.Clinicaltrials:政府;唯一标识符:NCT02264717。
{"title":"Combining Polygenic and Proteomic Risk Scores With Clinical Risk Factors to Improve Performance for Diagnosing Absence of Coronary Artery Disease in Patients With de novo Chest Pain.","authors":"Peter Loof Møller,&nbsp;Palle Duun Rohde,&nbsp;Jonathan Nørtoft Dahl,&nbsp;Laust Dupont Rasmussen,&nbsp;Samuel Emil Schmidt,&nbsp;Louise Nissen,&nbsp;Victoria McGilligan,&nbsp;Jacob F Bentzon,&nbsp;Daniel F Gudbjartsson,&nbsp;Kari Stefansson,&nbsp;Hilma Holm,&nbsp;Simon Winther,&nbsp;Morten Bøttcher,&nbsp;Mette Nyegaard","doi":"10.1161/CIRCGEN.123.004053","DOIUrl":"10.1161/CIRCGEN.123.004053","url":null,"abstract":"<p><strong>Background: </strong>Patients with de novo chest pain, referred for evaluation of possible coronary artery disease (CAD), frequently have an absence of CAD resulting in millions of tests not having any clinical impact. The objective of this study was to investigate whether polygenic risk scores and targeted proteomics improve the prediction of absence of CAD in patients with suspected CAD, when added to the PROMISE (Prospective Multicenter Imaging Study for Evaluation of Chest Pain) minimal risk score (PMRS).</p><p><strong>Methods: </strong>Genotyping and targeted plasma proteomics (N=368 proteins) were performed in 1440 patients with symptoms suspected to be caused by CAD undergoing coronary computed tomography angiography. Based on individual genotypes, a polygenic risk score for CAD (PRS<sub>CAD</sub>) was calculated. The prediction was performed using combinations of PRS<sub>CAD</sub>, proteins, and PMRS as features in models using stability selection and machine learning.</p><p><strong>Results: </strong>Prediction of absence of CAD yielded an area under the curve of PRS<sub>CAD</sub>-model, 0.64±0.03; proteomic-model, 0.58±0.03; and PMRS model, 0.76±0.02. No significant correlation was found between the genetic and proteomic risk scores (Pearson correlation coefficient, -0.04; <i>P</i>=0.13). Optimal predictive ability was achieved by the full model (PRS<sub>CAD</sub>+protein+PMRS) yielding an area under the curve of 0.80±0.02 for absence of CAD, significantly better than the PMRS model alone (<i>P</i><0.001). For reclassification purpose, the full model enabled down-classification of 49% (324 of 661) of the 5% to 15% pretest probability patients and 18% (113 of 611) of >15% pretest probability patients.</p><p><strong>Conclusions: </strong>For patients with chest pain and low-intermediate CAD risk, incorporating targeted proteomics and polygenic risk scores into the risk assessment substantially improved the ability to predict the absence of CAD. Genetics and proteomics seem to add complementary information to the clinical risk factors and improve risk stratification in this large patient group.</p><p><strong>Registration: </strong>URL: https://www.</p><p><strong>Clinicaltrials: </strong>gov; Unique identifier: NCT02264717.</p>","PeriodicalId":10326,"journal":{"name":"Circulation: Genomic and Precision Medicine","volume":" ","pages":"442-451"},"PeriodicalIF":7.4,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41117441","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Novel Insights Into DMD-Associated Dilated Cardiomyopathy. DMD相关扩张型心肌病的新见解。
IF 7.4 2区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2023-10-01 Epub Date: 2023-09-27 DOI: 10.1161/CIRCGEN.123.004384
Teresa Wang, Jessica Chowns, Sharlene M Day
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引用次数: 0
Cardiac Sarcoidosis Mimickers: Genetic Testing in Undifferentiated Inflammatory Cardiomyopathies. 心脏结节病模拟:未分化炎症性心肌病的基因检测。
IF 7.4 2区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2023-10-01 Epub Date: 2023-07-04 DOI: 10.1161/CIRCGEN.123.004099
Matteo Castrichini, Kolade M Agboola, Hridyanshu Vyas, Omar F Abou Ezzeddine, Konstantinos C Siontis, John R Giudicessi, Andrew N Rosenbaum, Naveen L Pereira
{"title":"Cardiac Sarcoidosis Mimickers: Genetic Testing in Undifferentiated Inflammatory Cardiomyopathies.","authors":"Matteo Castrichini,&nbsp;Kolade M Agboola,&nbsp;Hridyanshu Vyas,&nbsp;Omar F Abou Ezzeddine,&nbsp;Konstantinos C Siontis,&nbsp;John R Giudicessi,&nbsp;Andrew N Rosenbaum,&nbsp;Naveen L Pereira","doi":"10.1161/CIRCGEN.123.004099","DOIUrl":"10.1161/CIRCGEN.123.004099","url":null,"abstract":"","PeriodicalId":10326,"journal":{"name":"Circulation: Genomic and Precision Medicine","volume":" ","pages":"478-479"},"PeriodicalIF":7.4,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9746813","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
期刊
Circulation: Genomic and Precision Medicine
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