New ways to enhance the use of genetic data for understanding diseases
Official title: Novel methods to improve the utility of genomics summary statistics
Funded at Fatty Acid Research Institute · NIH-10646125 · Data updated 2026-11-12
This study is working on new ways to use genetic information to better understand Alzheimer's disease, helping researchers find out how genes affect this condition, which could lead to better insights and care for patients.
Quick facts
| Grant type | R21 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Fatty Acid Research Institute NIH-funded |
| Lab location | 1 site (Sioux Falls, United States) |
| Project start | September 19, 2023 |
| Project end | August 31, 2025 |
| Funding year | 2023 |
| Award (this year) | $412,245 |
| NIH project number | 1R21HG012998-01 |
| Project ID | NIH-10646125 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals with a family history of Alzheimer's disease or those diagnosed with related dementias.
✕Less likely to help
Patients with non-genetic forms of dementia or those without a genetic predisposition to Alzheimer's may not benefit from this research.
What this research studies
This research focuses on developing innovative computational methods to improve how genetic data is utilized in understanding diseases, particularly Alzheimer's disease. By leveraging summary statistics derived from large biobank and electronic health record datasets, the project aims to address challenges related to data privacy and computational complexity. The goal is to create tools that allow researchers to better analyze genetic variations and their contributions to common diseases, ultimately enhancing clinical utility and understanding. Patients may benefit from improved insights into genetic factors influencing their conditions.
Why it matters
Potential benefit: If successful, this research could lead to better understanding and treatment options for patients with Alzheimer's disease and other related conditions.
How similar studies have gone: Previous research has shown promise in using computational methods to analyze genetic data, indicating that this approach could yield significant advancements.
Where this research is happening
-
Fatty Acid Research Institute
Sioux Falls, United States Active
Researchers
- Principal investigator: Tintle, Nathan L — Fatty Acid Research Institute
- Study coordinator: Tintle, Nathan L
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.