ArticleGenome medicine2024
Predicting the presence of coronary plaques featuring high-risk characteristics using polygenic risk scores and targeted proteomics in patients with suspected coronary artery disease.
Article in Genome medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02264717 (Dan-NICAD - Danish Study of Non-Invasive Diagnostic Testing in Coronary Artery Disease), which is not on this map. Cited by 9 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Dan-NICAD - Danish Study of Non-Invasive Diagnostic Testing in Coronary Artery Disease
Who cites it
9 citing papers in PubMed, 9 citations in OpenAlex.
- Proteomic Signatures of High-Risk Coronary Plaque Features and Incident Events.JACC. Basic to translational science · 2026Article
- Identification and validation of prognostic genes associated with integrative stress response in lung adenocarcinoma and construction of the risk models.Scientific reports · 2026Article
- Exploring the risk association between psoriasis and chronic obstructive pulmonary disease, and asthma using the NHIS database.PloS one · 2026Article
- Machine learning and multi-omics technologies for precision cardiovascular medicine: advancing diagnosis, risk prediction, and therapeutic guidance.Frontiers in cardiovascular medicine · 2026Review
- Colchicine and Atherosclerotic Coronary Artery Disease: An Updated Review.Journal of clinical medicine · 2025Review
- A lipid metabolism-related gene signature for risk stratification and prognosis prediction in patients with breast cancer.Scientific reports · 2025Article
- Plasma proteomics improves prediction of coronary plaque progression.European heart journal. Cardiovascular Imaging · 2025Article
- When can coronary computed tomography angiography in patients with calcified plaque be accurate?Frontiers in cardiovascular medicine · 2025Article
- Plasma protein-based and polygenic risk scores serve complementary roles in predicting inflammatory bowel disease.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2025Article
Corrections and comments
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Authors and funding
14 authors at 5 institutions in 5 countries.
Funding
Abstract
backgroundThe presence of coronary plaques with high-risk characteristics is strongly associated with adverse cardiac events beyond the identification of coronary stenosis. Testing by coronary computed tomography angiography (CCTA) enables the identification of high-risk plaques (HRP). Referral for CCTA is presently based on pre-test probability estimates including clinical risk factors (CRFs); however, proteomics and/or genetic information could potentially improve patient selection for CCTA and, hence, identification of HRP. We aimed to (1) identify proteomic and genetic features associated with HRP presence and (2) investigate the effect of combining CRFs, proteomics, and genetics to predict HRP presence.
methodsConsecutive chest pain patients (n = 1462) undergoing CCTA to diagnose obstructive coronary artery disease (CAD) were included. Coronary plaques were assessed using a semi-automatic plaque analysis tool. Measurements of 368 circulating proteins were obtained with targeted Olink panels, and DNA genotyping was performed in all patients. Imputed genetic variants were used to compute a multi-trait multi-ancestry genome-wide polygenic score (GPS
resultsHRPs were detected in 165 (11%) patients, and 15 input features were associated with HRP presence. Prediction of HRP presence based on CRFs yielded a mean area under the receiver operating curve (AUC) ± standard error of 73.2 ± 0.1, versus 69.0 ± 0.1 for proteomics and 60.1 ± 0.1 for GPS
conclusionsIn patients with suspected CAD, incorporating genetic data with either clinical or proteomic data improves the prediction of high-risk plaque presence.
trial registrationhttps://clinicaltrials.gov/ct2/show/NCT02264717 (September 2014).
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.