Predicting who may develop endometriosis and related long-term health problems
Official title: Integrative risk modeling for early prediction of endometriosis and its long-term health outcomes
Funded at University of Pennsylvania · NIH-11308286 · Data updated 2026-11-12
This project will build tools that combine genetic, clinical, and lifestyle information to predict which people are likely to develop endometriosis and later health issues.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Pennsylvania NIH-funded |
| Lab location | 1 site (Philadelphia, United States) |
| Project start | May 15, 2023 |
| Project end | February 29, 2028 |
| Funding year | 2026 |
| Award (this year) | $657,428 |
| NIH project number | 5R01HD110567-04 |
| Project ID | NIH-11308286 on NIH RePORTER |
Who could benefit from this research
✓Could help
People who are reproductive-age or have pelvic pain, painful periods, fertility problems, or a family history of endometriosis and who can share medical records or genetic information would be the most relevant candidates.
✕Less likely to help
People who already have a confirmed, long-standing endometriosis diagnosis with established irreversible complications or those unwilling to share health or genetic data may not directly benefit from the predictive tool.
What this research studies
From a patient's point of view, researchers will pull together medical records, genetic information, and environmental and inflammatory markers to create risk models that spot people at higher risk for endometriosis. They will train those models on large clinical datasets and biological measurements so the tools can recognize different ways endometriosis shows up. The goal is non-invasive screening that could flag people earlier, before problems become severe. The work will look at both reproductive-age symptoms and long-term health outcomes that can follow endometriosis.
Why it matters
Potential benefit: If successful, this could lead to earlier diagnosis, more personalized monitoring, and steps to prevent or reduce long-term complications.
How similar studies have gone: Prior research has linked genes, inflammation, and environmental factors to endometriosis and some early models show promise, but a widely used, reliable early-prediction tool does not yet exist.
Where this research is happening
-
University of Pennsylvania
Philadelphia, United States Active
Researchers
- Principal investigator: Verma, Shefali Setia — University of Pennsylvania
- Study coordinator: Verma, Shefali Setia
Related research
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How genes influence endometriosis in women of different racial and ethnic backgrounds
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This project explores how changes in CXCR4 gene regulation may help diagnose endometriosis earlier and point toward non-hormonal treatments for the condition.
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.