Data Analysis Center for Somatic Mosaicism Across Human Tissues Network
Funded at Harvard Medical School · NIH-11553418 · Data updated 2026-11-12
A national network is building a data hub to map mosaic genetic changes across different body tissues to help understand how they influence health and disease.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Harvard Medical School NIH-funded |
| Lab location | 1 site (Boston, United States) |
| Project start | May 1, 2023 |
| Project end | April 30, 2028 |
| Funding year | 2026 |
| Award (this year) | $612,506 |
| NIH project number | 3UM1DA058230-04S1 |
| Project ID | NIH-11553418 on NIH RePORTER |
Who could benefit from this research
✓Could help
Patients whose tissues are studied or whose data contribute to mosaic variant catalogs (e.g., cancer patients, individuals undergoing tissue sampling as part of medical care), may benefit in the long term.
✕Less likely to help
This project is primarily a data-oriented infrastructure effort and may not provide direct immediate benefits to all participants.
What this research studies
This grant supports creating and curating data from the Somatic Mosaicism across Human Tissues (SMaHT) Network. It will develop and apply advanced analysis pipelines, build a cloud-based data portal, and establish standards to ensure high-quality, comparable data. The focus is on identifying mosaic variants—different genetic patterns in tissues from the same person—and understanding their impact on biological processes and disease. Researchers will work with a team of bioinformatics experts and data curators to benchmark tools and expand methods as needed.
Why it matters
Potential benefit: If successful, patients could benefit from better understanding of mosaic variants that influence cancer and other diseases, paving the way for improved diagnostics and personalized care.
How similar studies have gone: Prior work in mosaic variant analysis has established feasibility for large-scale data integration and variant cataloging, with ongoing improvements in cloud-based pipelines.
Where this research is happening
-
Harvard Medical School
Boston, United States Active
Researchers
- Principal investigator: Park, Peter J — Harvard Medical School
- Study coordinator: Park, Peter J
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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.