Predicting how Alzheimer’s and related diseases progress by combining genetics and environment
Official title: Integrating Genetics and Socio-Environmental Factors to Predict Disease Progression
Funded at Ohio State University · NIH-11579927 · Data updated 2026-11-12
This project aims to help people with Alzheimer’s-related conditions by using genetic information together with environmental and social factors to forecast how the disease might progress over time.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Ohio State University NIH-funded |
| Lab location | 1 site (Columbus, UNITED STATES) |
| Project start | July 1, 2025 |
| Project end | June 30, 2029 |
| Funding year | 2026 |
| Award (this year) | $249,000 |
| NIH project number | 4R00HG013969-02 |
| Project ID | NIH-11579927 on NIH RePORTER |
Who could benefit from this research
✓Could help
Individuals with Alzheimer’s disease dementia, Alzheimer syndrome, or related cognitive conditions who may participate in future observational analyses or biomarker studies.
✕Less likely to help
Individuals not experiencing cognitive decline or not contributing data to longitudinal analyses may have no direct benefit.
What this research studies
This work looks at how genes and life circumstances interact to shape when and how quickly Alzheimer’s-related diseases develop and worsen. Researchers will develop models that track time-to-event outcomes, using big biobank data from diverse groups, to better predict disease trajectories. The study will create and test polygenic risk scores for longitudinal outcomes and refine methods to identify gene-level influences on progression. Harmonizing socio-environmental data across cohorts will help ensure findings are generalizable and useful for patients. The project builds on prior work and moves toward tools that could inform personalized care decisions over the course of the disease.
Why it matters
Potential benefit: If successful, patients and clinicians could have better tools to anticipate disease progression and tailor care plans accordingly.
How similar studies have gone: Prior methods for longitudinal genetic risk modeling have shown promise, and this project extends them to time-to-event outcomes in diverse populations.
Where this research is happening
-
Ohio State University
Columbus, United States Active
Researchers
- Principal investigator: Wang, Ying — Ohio State University
- Study coordinator: Wang, Ying
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.