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Predictive Utility of a Coronary Artery Disease Polygenic Risk Score in Primary Prevention
Nicholas A Marston1, James P Pirruccello2,3,4, Giorgio E M Melloni1
1TIMI Study Group, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Insights
A polygenic risk score (PRS) for coronary artery disease (CAD) is more predictive in younger individuals. This PRS can help identify younger patients who would benefit from statin therapy for primary prevention.
Area of Science:
- Cardiovascular Genetics
- Preventive Cardiology
- Biostatistics
Background:
- The clinical utility of polygenic risk scores (PRS) for coronary artery disease (CAD) requires further establishment.
- Risk stratification for primary prevention of CAD often relies on clinical risk factors alone.
Purpose of the Study:
- To assess the ability of a CAD PRS to guide statin initiation in primary prevention.
- To evaluate the PRS's performance across different age groups and in conjunction with clinical risk scores.
Main Methods:
- Longitudinal cohort study using UK Biobank and Biobank Japan data.
- Analysis included over 330,000 individuals without prior CAD or lipid-lowering therapy.
- CAD PRS utilized 241 single-nucleotide variations; atherosclerotic cardiovascular disease (ASCVD) risk was calculated using pooled cohort equations.
Main Results:
- CAD PRS significantly predicted myocardial infarction (MI) risk, with stronger prediction in younger individuals (age <50 years).
- High PRS was associated with a 3- to 4-fold increased MI risk in those under 50.
- Integrating CAD PRS reclassified risk for statin initiation in a substantial proportion of younger patients with borderline or intermediate ASCVD risk.
Conclusions:
- CAD PRS demonstrates greater predictive ability in younger populations.
- PRS can enhance risk stratification for statin therapy initiation in primary prevention, particularly in younger individuals.
- This approach aids in identifying patients who may benefit from or not require statin therapy based on combined genetic and clinical risk assessment.
Importance:
The clinical utility of polygenic risk scores (PRS) for coronary artery disease (CAD) has not yet been established.
Objective:
To investigate the ability of a CAD PRS to potentially guide statin initiation in primary prevention after accounting for age and clinical risk.
Design, Setting, And Participants:
This was a longitudinal cohort study with enrollment starting on January 1, 2006, and ending on December 31, 2010, with data updated to mid-2021, using data from the UK Biobank, a long-term population study of UK citizens. A replication analysis was performed in Biobank Japan. The analysis included all patients without a history of CAD and who were not taking lipid-lowering therapy. Data were analyzed from January 1 to June 30, 2022.
Exposures:
Polygenic risk for CAD was defined as low (bottom 20%), intermediate, and high (top 20%) using a CAD PRS including 241 genome-wide significant single-nucleotide variations (SNVs). The pooled cohort equations were used to estimate 10-year atherosclerotic cardiovascular disease (ASCVD) risk and classify individuals as low (<5%), borderline (5-<7.5%), intermediate (7.5-<20%), or high risk (≥20%).
Main Outcomes And Measures:
Myocardial infarction (MI) and ASCVD events (defined as incident clinical CAD [including MI], stroke, or CV death).
Results:
A total of 330 201 patients (median [IQR] age, 57 [40-74] years; 189 107 female individuals [57%]) were included from the UK Biobank. Over the 10-year follow-up, 4454 individuals had an MI. The CAD PRS was significantly associated with the risk of MI in all age groups but had significantly stronger risk prediction at younger ages (age <50 years: hazard ratio [HR] per 1 SD of PRS, 1.72; 95% CI, 1.56-1.89; age 50-60 years: HR, 1.46; 95% CI, 1.38-1.53; age >60 years: HR, 1.42; 95% CI, 1.37-1.48; P for interaction <.001). In patients younger than 50 years, those with high PRS had a 3- to 4-fold increased associated risk of MI compared with those in the low PRS category. A significant interaction between CAD PRS and age was replicated in Biobank Japan. When CAD PRS testing was added to the clinical ASCVD risk score in individuals younger than 50 years, 591 of 4373 patients (20%) with borderline risk were risk stratified into intermediate risk, warranting initiation of statin therapy and 3198 of 7477 patients (20%) with both borderline or intermediate risk were stratified as low risk, thus not warranting therapy.
Conclusions And Relevance:
Results of this cohort study suggest that the predictive ability of a CAD PRS was greater in younger individuals and can be used to better identify patients with borderline and intermediate clinical risk who should initiate statin therapy.
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