Polygenic risk scores for diabetes and its complications across diverse populations
Official title: Development of Polygenic Risk Scores for Diabetes and Complications across the Life-Span in Populations of Multiple Ancestries
Funded at Broad Institute, INC. · NIH-11502201 · Data updated 2026-11-12
A study to develop and test genetic risk scores for diabetes and related complications in people from many different ancestries to improve prediction and care.
Quick facts
| Grant type | U01 cooperative agreement |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Broad Institute, INC. NIH-funded |
| Lab location | 1 site (Cambridge, United States) |
| Project start | June 1, 2026 |
| Project end | March 31, 2027 |
| Funding year | 2026 |
| Award (this year) | $875,671 |
| NIH project number | 3U01HG011723-05S1 |
| Project ID | NIH-11502201 on NIH RePORTER |
Who could benefit from this research
✓Could help
Adults with or at risk for type 1 diabetes, type 2 diabetes, gestational diabetes, or brittle diabetes who may benefit from polygenic risk information and have diverse ancestral backgrounds.
✕Less likely to help
Individuals without diabetes risk factors or those not represented in diverse ancestry datasets may see limited benefit from the risk scores developed in this study.
What this research studies
This project aims to build polygenic risk scores that predict diabetes and its complications for diverse populations, using large genetic datasets. Researchers will combine many genetic variants to create scores that work across ancestry groups and help guide prevention and treatment decisions. The work integrates advanced Bayesian methods and evaluates how these scores perform in real-world healthcare settings. The study involves collaboration across institutions and focuses on translating genetic risk information into better, more equitable care for people with diabetes. Participation may involve analyses of genetic data and health records from consenting individuals, with strict protections for privacy and data use.
Why it matters
Potential benefit: If successful, this work could enable personalized diabetes risk prediction in diverse populations, guiding earlier interventions and tailored treatment.
How similar studies have gone: Previous studies show polygenic risk scores can predict diabetes risk, but performance often varies by ancestry, which this project seeks to improve.
Where this research is happening
-
Broad Institute, INC.
Cambridge, United States Active
Researchers
- Principal investigator: Mercader, Josep Maria — Broad Institute, INC.
- Study coordinator: Mercader, Josep Maria
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About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.