ArticleBMC cardiovascular disorders2011
Genotype-informed estimation of risk of coronary heart disease based on genome-wide association data linked to the electronic medical record.
Article in BMC cardiovascular disorders, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01936675 (Myocardial Infarction Genes), which is not on this map. Cited by 25 papers.
What it found
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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.
Myocardial Infarction Genes (MI-GENES) Study - Using Genomic Data to Refine Risk Assessment for Heart Attack
Who cites it
25 citing papers in PubMed, 45 citations in OpenAlex.
- Motivation, Perception, and Treatment Beliefs in the Myocardial Infarction Genes (MI-GENES) Randomized Clinical Trial.Journal of genetic counseling · 2017Trial
- Shared decision-making following disclosure of coronary heart disease genetic risk: results from a randomized clinical trial.Journal of investigative medicine : the official publication of the American Federation for Clinical Research · 2017Trial
- Incorporating a Genetic Risk Score Into Coronary Heart Disease Risk Estimates: Effect on Low-Density Lipoprotein Cholesterol Levels (the MI-GENES Clinical Trial).Circulation · 2016Trial
- Design of a randomized controlled trial of disclosing genomic risk of coronary heart disease: the Myocardial Infarction Genes (MI-GENES) study.BMC medical genomics · 2015Trial
- Genome-Wide Association of Genetic Variants with Intestinal Cholesterol Absorption Markers in a European Population.Nutrients · 2026Article
- Article
- Effect of disclosing a polygenic risk score for coronary heart disease on adverse cardiovascular events: 10-year follow-up of the MI-GENES randomized clinical trial.medRxiv : the preprint server for health sciences · 2024Article
- Multi-Ancestry Polygenic Risk Score for Coronary Heart Disease Based on an Ancestrally Diverse Genome-Wide Association Study and Population-Specific Optimization.Circulation. Genomic and precision medicine · 2024Article
- A Multi-Ancestry Polygenic Risk Score for Coronary Heart Disease Based on an Ancestrally Diverse Genome-Wide Association Study and Population-Specific Optimization.medRxiv : the preprint server for health sciences · 2023Article
- Evaluation of the Performance of the RECODe Equation with the Addition of Polygenic Risk Scores for Adverse Cardiovascular Outcomes in Individuals with Type II Diabetes.medRxiv : the preprint server for health sciences · 2023Article
- Article
- Polygenic risk score for peripheral artery disease: A tool to refine risk stratification.Vascular medicine (London, England) · 2022Article
- Hepatitis B virus persistent infection-related single nucleotide polymorphisms in HLA regions are associated with viral load in hepatoma families.World journal of gastroenterology · 2021Article
- Observational
- Importance of Genetic Studies of Cardiometabolic Disease in Diverse Populations.Circulation research · 2020Review
- Predictive Utility of Polygenic Risk Scores for Coronary Heart Disease in Three Major Racial and Ethnic Groups.American journal of human genetics · 2020Article
- Lack of association of genetic variants for diabetic retinopathy in Taiwanese patients with diabetic nephropathy.BMJ open diabetes research & care · 2020Article
- Effect of adiponectin level and genetic variation of its receptors on diabetic retinopathy: A case-control study.Medicine · 2019Article
- Multilocus genetic risk score for diabetic retinopathy in the Han Chinese population of Taiwan.Scientific reports · 2018Article
- Cardiovascular Precision Medicine in the Genomics Era.JACC. Basic to translational science · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundSusceptibility variants identified by genome-wide association studies (GWAS) have modest effect sizes. Whether such variants provide incremental information in assessing risk for common 'complex' diseases is unclear. We investigated whether measured and imputed genotypes from a GWAS dataset linked to the electronic medical record alter estimates of coronary heart disease (CHD) risk.
methodsStudy participants (n = 1243) had no known cardiovascular disease and were considered to be at high, intermediate, or low 10-year risk of CHD based on the Framingham risk score (FRS) which includes age, sex, total and HDL cholesterol, blood pressure, diabetes, and smoking status. Of twelve SNPs identified in prior GWAS to be associated with CHD, four were genotyped in the participants as part of a GWAS. Genotypes for seven SNPs were imputed from HapMap CEU population using the program MACH. We calculated a multiplex genetic risk score for each patient based on the odds ratios of the susceptibility SNPs and incorporated this into the FRS.
resultsThe mean (SD) number of risk alleles was 12.31 (1.95), range 6-18. The mean (SD) of the weighted genetic risk score was 12.64 (2.05), range 5.75-18.20. The CHD genetic risk score was not correlated with the FRS (P = 0.78). After incorporating the genetic risk score into the FRS, a total of 380 individuals (30.6%) were reclassified into higher-(188) or lower-risk groups (192).
conclusionA genetic risk score based on measured/imputed genotypes at 11 susceptibility SNPs, led to significant reclassification in the 10-y CHD risk categories. Additional prospective studies are needed to assess accuracy and clinical utility of such reclassification.
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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.