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Published on: August 9, 2024
A genetic risk score predicts cardiovascular events in patients with stable coronary artery disease
Morten Krogh Christiansen1, Mette Nyegaard2, Sanne Bøjet Larsen3
1Department of Cardiology, Aarhus University Hospital, Aarhus, Denmark; Faculty of Health, Institute of Clinical Medicine, Aarhus University, Aarhus, Denmark.
Insights
A genetic risk score (GRS) helps predict future cardiovascular events in patients with coronary artery disease (CAD). Higher GRS is linked to increased risk, particularly for coronary revascularization procedures.
Area of Science:
- Cardiovascular Genetics
- Precision Medicine
Background:
- Genetic risk scores (GRSs) show potential for predicting cardiovascular risk in general populations.
- Evidence linking GRS to recurrent cardiovascular events in established coronary artery disease (CAD) patients remains inconsistent.
Purpose of the Study:
- To investigate the predictive value of a GRS for recurrent cardiovascular events in high-risk, stable CAD patients.
- To determine if GRS can stratify risk within this specific patient cohort.
Main Methods:
- Genotyped 879 high-risk stable CAD patients, creating a GRS from 45 CAD-associated SNPs.
- Categorized patients into high and low GRS groups based on the median.
- Utilized national Danish registries to track recurrent cardiovascular events, including myocardial infarction, coronary revascularization, and cardiovascular death.
Main Results:
- Patients with a high GRS had a significantly higher cumulative incidence of the primary endpoint (composite of myocardial infarction, coronary revascularization, and cardiovascular death) at 1 and 3 years compared to low-GRS patients.
- The adjusted hazard ratio for the primary endpoint was 1.50 (95% CI 1.00-2.25) for high-GRS individuals.
- A high GRS was most strongly associated with an increased risk of coronary revascularization (adjusted HR 2.10 [95% CI 1.08-4.07]).
Conclusions:
- A GRS is a valuable tool for predicting recurrent cardiovascular events in high-risk patients with stable CAD.
- The predictive power of GRS in this population is primarily driven by its association with coronary revascularization events.
Background:
Genetic risk scores (GRSs) may predict cardiovascular risk in community-based populations. However, studies investigating the association with recurrent cardiovascular events in patients with established coronary artery disease (CAD) are conflicting.
Methods:
We genotyped 879 patients with high-risk stable CAD and created a GRS based on 45 single nucleotide polymorphisms previously reported to be associated with CAD in genome-wide association studies. Patients were categorised into high or low GRS according to the median GRS and followed for recurrent cardiovascular events using national Danish registries. The primary endpoint was a composite of myocardial infarction, coronary revascularisation, and cardiovascular death.
Results:
Median (interquartile range) follow-up time was 2.8 (2.4-3.8)years. The cumulative incidence proportions of the primary endpoint at 1 and 3years were 6.4% and 11.5% in high-GRS patients vs. 2.5% and 7.3% in low-GRS patients. The corresponding relative risks were 2.56 (95% confidence interval (CI) 1.29-5.07), and 1.57 (95% CI 1.02-2.44). The adjusted hazard ratio (HR) of the primary endpoint was 1.50 (95% CI 1.00-2.25). The most pronounced effect of a high GRS was observed on coronary revascularisations (adjusted HR 2.10 [95% CI 1.08-4.07]). Risks of cardiovascular death (adjusted HR 1.07 [95% CI 0.46-2.48]) and all-cause death (adjusted HR 1.15 [95% CI 0.65-2.03]) were unaffected.
Conclusions:
A GRS predicts recurrent cardiovascular events in high-risk stable CAD patients. The observed effect was mainly driven by coronary revascularisations.
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