A resource to understand how genetic variants affect health conditions
The Association to Function Knowledge Portal: a genomic data resource for translating GWAS associations to biological effects
This study is creating an easy-to-use online tool that helps people understand how their genes might affect their risk of developing adult-onset diabetes, so patients can learn more about their health and treatment options.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Broad Institute, INC. NIH-funded |
| Lab location | 1 site (Cambridge, United States) |
| Project ID | NIH-10878866 on NIH RePORTER |
What this research studies
This research aims to create a comprehensive online resource that connects genetic variants identified in genome-wide association studies (GWAS) to their biological effects on health conditions, particularly focusing on adult-onset diabetes. By aggregating and curating data on genetic associations, regulatory activities, and computational predictions, the project seeks to fill existing gaps in understanding how these genetic factors influence disease. Patients may benefit from insights into how their genetic makeup could affect their health and treatment options. The research will involve collaboration with experts in genomics and bioinformatics to ensure the resource is both accurate and useful.
Who could benefit from this research
Good fit: Ideal candidates for this research include individuals with adult-onset diabetes or those interested in understanding the genetic factors related to their health.
Not a fit: Patients without a genetic predisposition to adult-onset diabetes or those not interested in genetic research may not receive direct benefits from this research.
Why it matters
Potential benefit: If successful, this research could provide patients with a better understanding of how their genetic information influences their health and treatment options.
How similar studies have performed: Other research has successfully utilized similar approaches to connect genetic data with health outcomes, indicating a promising potential for this project.
Where this research is happening
Cambridge, United States
- Broad Institute, INC. — Cambridge, United States (Active)
Researchers
- Principal investigator: Flannick, Jason — Broad Institute, INC.
- Study coordinator: Flannick, Jason
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 below.