Stability-focused tool to find causes of heart disease
DMS/NIGMS 2: A Stability Driven Recommendation System for Efficient Disease Mechanistic Discovery
This project builds a computer tool to help researchers pick genetic and biological clues tied to heart disease so follow-up tests can be fewer and more reliable.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of California Berkeley NIH-funded |
| Lab location | 1 site (Berkeley, United States) |
| Project ID | NIH-11139457 on NIH RePORTER |
What this research studies
From a patient's view, the team is creating algorithms that scan genetic and other biological data to highlight the most promising features linked to heart conditions. They use a stability-driven approach with decision-tree methods that build on GWAS and iterative random forest ideas to favor results that repeat across datasets. By prioritizing reproducible signals, the goal is to reduce wasted time and expensive experiments trying to confirm false leads. The work mostly analyzes existing human genetic and clinical datasets and runs computational modeling at UC Berkeley.
Who could benefit from this research
Good fit: Ideal participants are people with diagnosed heart conditions or those who have genetic testing and clinical records and are willing to share their data for research.
Not a fit: People without heart conditions or those who do not contribute data are unlikely to see direct benefits from this work in the short term.
Why it matters
Potential benefit: If successful, this could speed up discovery of true heart disease causes and help guide development of better-targeted treatments and genetic risk information.
How similar studies have performed: Related GWAS and machine-learning studies have found genetic links before, but this stability-driven decision-tree approach is newer and aims to reduce false leads and improve reproducibility.
Where this research is happening
Berkeley, United States
- University of California Berkeley — Berkeley, United States (Active)
Researchers
- Principal investigator: Yu, Bin — University of California Berkeley
- Study coordinator: Yu, Bin
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.