Using Polygenic Risk Scores to Prevent Heart Disease
Author Information
Author(s): Hughes Julia, Shymka Mikayla, Ng Trevor, Phulka Jobanjit S., Safabakhsh Sina, Laksman Zachary
Primary Institution: University of British Columbia
Hypothesis
Can polygenic risk scores improve the early identification and prevention of cardiometabolic diseases?
Conclusion
Integrating polygenic risk scores into clinical practice can enhance cardiovascular disease risk assessment and enable earlier, personalized interventions.
Supporting Evidence
- Polygenic risk scores can predict disease onset and progression.
- PRS can enhance traditional risk models for better disease prediction.
- Patient and provider perspectives on PRS are largely positive.
- Standardized guidelines are needed for effective PRS implementation.
- PRS can motivate lifestyle changes in high-risk individuals.
Takeaway
This study shows that using genetic information can help doctors find out who is at risk for heart disease earlier, so they can help them stay healthy.
Methodology
A structured and exploratory hybrid search strategy was employed to synthesize literature on PRS implementation in clinical practice.
Potential Biases
Potential for genetic discrimination and privacy concerns regarding genetic data.
Limitations
The full clinical utility of PRS remains under evaluation, and challenges exist in integrating them effectively into existing risk models.
Participant Demographics
The study involved individuals at high risk for cardiovascular disease, primarily from diverse populations.
Digital Object Identifier (DOI)
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