Improving heart disease risk prediction for diverse populations

Addressing Disparities in Polygenic Risk Score for Coronary Heart Diseases in Diverse Populations

['FUNDING_CAREER'] · J. DAVID GLADSTONE INSTITUTES · NIH-10864740

This study is working to create better tools for predicting the risk of heart disease by looking at both your genes and other health factors, especially for people from different backgrounds, so that everyone can get fairer and more accurate health care.

Quick facts

Phase['FUNDING_CAREER']
Study typeNih_funding
SexAll
SponsorJ. DAVID GLADSTONE INSTITUTES (nih funded)
Locations1 site (SAN FRANCISCO, UNITED STATES)
Trial IDNIH-10864740 on ClinicalTrials.gov

What this research studies

This research aims to enhance the prediction of coronary heart disease (CHD) risk by developing polygenic risk scores (PRS) that are more accurate for individuals from diverse ancestries. The approach combines genetic data with traditional clinical risk factors while also considering social and environmental influences that contribute to health disparities. By analyzing genetic information from various populations, the study seeks to identify low-frequency genetic variants and improve the representation of diverse genetic backgrounds in risk assessments. This tailored strategy aims to provide more equitable healthcare outcomes for all individuals, particularly those from underrepresented groups.

Who could benefit from this research

Good fit: Ideal candidates for this research include individuals from diverse ancestral backgrounds, particularly those at risk for coronary heart disease.

Not a fit: Patients with coronary heart disease who do not belong to diverse ancestral backgrounds may not receive direct benefits from this research.

Why it matters

Potential benefit: If successful, this research could lead to more accurate heart disease risk assessments, enabling earlier and more effective interventions for diverse populations.

How similar studies have performed: Other research has shown promise in improving risk prediction models by incorporating diverse genetic data, suggesting that this approach could yield significant advancements.

Where this research is happening

SAN FRANCISCO, UNITED STATES

Researchers

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page below.

View on NIH RePORTER →

Last reviewed 2026-05-15 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.