SynthesisEuropean heart journal2016
Genomic prediction of coronary heart disease.
Synthesis in European heart journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 176 papers, 5 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
176 citing papers in PubMed, 5 syntheses or guidelines pooled it, 347 citations in OpenAlex.
- A polygenic risk score improves risk stratification of coronary artery disease: a large-scale prospective Chinese cohort study.European heart journal · 2022Pooled it
- Significant association between rs28362491 polymorphism in NF-κB1 gene and coronary artery disease: a meta-analysis.BMC cardiovascular disorders · 2020Pooled it
- Validation of Genome-Wide Polygenic Risk Scores for Coronary Artery Disease in French Canadians.Circulation. Genomic and precision medicine · 2019Pooled it
- Low quality cardiovascular care is important coronary risk factor in India.Indian heart journal · 2018Pooled it
- Polygenic Risk Score Identifies Subgroup With Higher Burden of Atherosclerosis and Greater Relative Benefit From Statin Therapy in the Primary Prevention Setting.Circulation · 2017 · on this mapPooled it
- Common genetic variants do not predict recurrent events in coronary heart disease patients.BMC cardiovascular disorders · 2022Trial
- Genetic Tools for Coronary Risk Assessment in Type 2 Diabetes: A Cohort Study From the ACCORD Clinical Trial.Diabetes care · 2018Trial
- Mediterranean Diet Adherence and Genetic Background Roles within a Web-Based Nutritional Intervention: The Food4Me Study.Nutrients · 2017Trial
- Predictive models of the genetic bases underlying budding yeast fitness in multiple environments.NAR genomics and bioinformatics · 2026Article
- Inherited risk of coronary artery disease: redefining care with imaging and genetics.Nature reviews. Cardiology · 2026Review
- Life's Essential 8, Polygenic Risk for Type 2 Diabetes, and Dementia: Evidence from the UK Biobank.Nutrients · 2026Article
- Preimplantation genetic testing for polygenic diseases: A novel paradigm in embryo selection.Biochemistry and biophysics reports · 2026Review
- Combining Genomics With Lipid and Inflammatory Biomarkers to Predict Coronary Artery Disease Risk: UK Biobank Study.Journal of the American College of Cardiology · 2026Article
- Mediation of coronary heart disease risk by genetic, socio-environmental, and lifestyle factors across racial groups.American journal of preventive cardiology · 2026Article
- Unraveling the genetic blueprint of coronary artery disease: The role of polygenic risk scores in risk prediction.American heart journal plus : cardiology research and practice · 2026Article
- Combined clinical, metabolomic, and polygenic scores for cardiovascular risk prediction.European heart journal · 2025Article
- Greater value add from electronic health records than polygenic risk scores for predicting myocardial infarction in machine learning.Communications medicine · 2025Article
- Predictive models of the genetic bases underlying budding yeast fitness in multiple environments.bioRxiv : the preprint server for biology · 2025Article
- Polygenic risk of coronary artery disease for long-term survivors of breast cancer.Journal of the National Cancer Institute · 2025Article
- Real-world risk stratification for coronary heart disease: a one-year prediction model using health information exchange data.BMC public health · 2025Article
116 more citing papers are in PubMed but not listed here.
Corrections and comments
- Commented on by
Authors and funding
15 authors at 8 institutions in 6 countries.
Funding
Abstract
aimsGenetics plays an important role in coronary heart disease (CHD) but the clinical utility of genomic risk scores (GRSs) relative to clinical risk scores, such as the Framingham Risk Score (FRS), is unclear. Our aim was to construct and externally validate a CHD GRS, in terms of lifetime CHD risk and relative to traditional clinical risk scores. METHODS AND
resultsWe generated a GRS of 49 310 SNPs based on a CARDIoGRAMplusC4D Consortium meta-analysis of CHD, then independently tested it using five prospective population cohorts (three FINRISK cohorts, combined n = 12 676, 757 incident CHD events; two Framingham Heart Study cohorts (FHS), combined n = 3406, 587 incident CHD events). The GRS was associated with incident CHD (FINRISK HR = 1.74, 95% confidence interval (CI) 1.61-1.86 per S.D. of GRS; Framingham HR = 1.28, 95% CI 1.18-1.38), and was largely unchanged by adjustment for known risk factors, including family history. Integration of the GRS with the FRS or ACC/AHA13 scores improved the 10 years risk prediction (meta-analysis C-index: +1.5-1.6%, P < 0.001), particularly for individuals ≥60 years old (meta-analysis C-index: +4.6-5.1%, P < 0.001). Importantly, the GRS captured substantially different trajectories of absolute risk, with men in the top 20% of attaining 10% cumulative CHD risk 12-18 y earlier than those in the bottom 20%. High genomic risk was partially compensated for by low systolic blood pressure, low cholesterol level, and non-smoking.
conclusionsA GRS based on a large number of SNPs improves CHD risk prediction and encodes different trajectories of lifetime risk not captured by traditional clinical risk scores.
Indexed as
Identifiers
What OpenQuestion holds
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.