Understanding how genetic variations contribute to diseases using advanced data analysis.
Official title: Statistical methods and analyses to study genetic variants and their roles in diseases leveraging functional genomics data.
Funded at Dartmouth College · NIH-10939001 · Data updated 2026-11-12
This study is looking at how certain genetic differences can affect diseases by using advanced data about genes, which could help us understand your genetic risks better and find new treatments just for you.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Dartmouth College NIH-funded |
| Lab location | 1 site (Hanover, United States) |
| Project start | August 1, 2024 |
| Project end | July 31, 2029 |
| Funding year | 2024 |
| Award (this year) | $409,896 |
| NIH project number | 1R35GM154925-01 |
| Project ID | NIH-10939001 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include individuals with a family history of genetic diseases or those diagnosed with conditions linked to genetic variations.
✕Less likely to help
Patients with diseases that are not influenced by genetic factors or those without identifiable genetic variants may not benefit from this research.
What this research studies
This research focuses on identifying genetic variants that play a role in various diseases by utilizing large-scale functional genomics data. It aims to develop new statistical methods to analyze this data, particularly single-cell transcriptomic and epigenomic information, to uncover how these genetic variants affect gene regulation and contribute to disease mechanisms. By bridging the gap between genetic associations identified in previous studies and their functional implications, the research seeks to provide insights into the biological processes underlying diseases. Patients may benefit from a better understanding of their genetic risks and potential targeted therapies.
Why it matters
Potential benefit: If successful, this research could lead to improved identification of genetic risks for diseases and more personalized treatment options for patients.
How similar studies have gone: Previous research has shown success in using functional genomics data to identify genetic variants associated with diseases, indicating that this approach has potential for meaningful advancements.
Where this research is happening
-
Dartmouth College
Hanover, United States Active
Researchers
- Principal investigator: Zhao, Siming — Dartmouth College
- Study coordinator: Zhao, Siming
Related research
Other NIH-funded projects on the same topics.
-
Northeast CTN Node: Translating Community Research into Better Substance Use Care
A nationwide clinical network in the Northeast is testing real-world ways to prevent and treat substance use disorders using digital tools, AI, and collaborative care across rural communities.
-
Biocompatible SWIR imaging dyes for high-resolution animal and potential clinical use
A researcher aims to develop safe, bright dyes that glow in the shortwave infrared range to improve high‑resolution imaging in animals and support future clinical imaging.
-
Understanding how genes shape developmental disorders across tissues and time
A research grant exploring how genetic changes lead to developmental disorders across different tissues and life stages, with the goal of mapping where, when, and why these disorders arise.
-
Hearing changes in people with HIV and in people without HIV in Tanzania
This project follows people living with HIV and similar individuals in Tanzania to see how hearing and brain function relate over time and whether hearing tests can help predict cognitive changes.
-
Can hearing tests help predict Alzheimer’s disease changes
A study at Dartmouth investigates whether how we hear sounds now can signal future brain changes linked to Alzheimer's disease.
-
New Hampshire network that boosts biomedical research at two-year colleges and builds data science skills
A state-wide program helps undergrad students and partner colleges connect with biomedical research and data science to build capacity and launch research careers.
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.