How DNA sequence controls 3D genome folding
Sequence models of genome regulatory architecture in 3D
['FUNDING_OTHER'] · UNIVERSITY OF CHICAGO · NIH-11430672
Builds computer models to predict how your DNA sequence shapes its 3D folding and changes gene activity, to help interpret genetic variants.
Quick facts
| Phase | ['FUNDING_OTHER'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | UNIVERSITY OF CHICAGO (nih funded) |
| Locations | 1 site (CHICAGO, UNITED STATES) |
| Trial ID | NIH-11430672 on ClinicalTrials.gov |
What this research studies
This work uses advanced computer programs that learn from large genome datasets to link the letters of your DNA to the way the genome folds in 3D and how that controls genes. It combines maps of genome folding and gene activity with deep learning to predict how single-letter DNA changes can alter structure and gene output. The models let scientists 'mutate' DNA on a computer to see likely effects without lab tests. That could speed how quickly genetic changes are interpreted and help guide future personalized care.
Who could benefit from this research
Good fit: People with known genetic variants or those willing to share their genome data for research would be the most relevant contributors to this work.
Not a fit: Patients without genetic conditions or those not willing to share genetic data are unlikely to see a direct benefit from this grant's work.
Why it matters
Potential benefit: If successful, this could help doctors and researchers interpret genetic variants faster and more accurately, improving diagnosis and guiding personalized treatments.
How similar studies have performed: Previous deep-learning methods have shown promise decoding regulatory signals from DNA, but combining sequence models with 3D genome folding is a newer and less-tested approach.
Where this research is happening
CHICAGO, UNITED STATES
- UNIVERSITY OF CHICAGO — CHICAGO, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: ZHOU, JIAN — UNIVERSITY OF CHICAGO
- Study coordinator: ZHOU, JIAN
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 below.