Using AI to decode human genetic variation
Deep learning for population genetics
['FUNDING_R01'] · UNIVERSITY OF OREGON · NIH-11223828
This project uses AI to find patterns in very large human genetic datasets to help researchers and people with inherited conditions better understand how genes vary across populations.
Quick facts
| Phase | ['FUNDING_R01'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | UNIVERSITY OF OREGON (nih funded) |
| Locations | 1 site (EUGENE, UNITED STATES) |
| Trial ID | NIH-11223828 on ClinicalTrials.gov |
What this research studies
Researchers are training deep neural networks on whole-genome data from large biobanks so the models can learn useful signals directly from DNA alignments instead of relying only on hand-crafted summaries. They will develop, train, and validate these models using a mix of simulated genomes and real human sequencing data to ensure accuracy and scalability. The team aims to scale methods to biobank-sized datasets to reveal population history, selection, and genetic structure that may relate to health. As a data contributor, your de-identified genome could help improve tools that researchers use to study genetic influences on disease.
Who could benefit from this research
Good fit: Ideal candidates are people who have or are willing to share whole-genome sequence data through participating biobanks or research repositories.
Not a fit: People without available genomic data or those seeking immediate clinical treatment are unlikely to receive direct benefit from this computational methods project.
Why it matters
Potential benefit: If successful, this could help researchers discover genetic patterns linked to health and improve genetic risk tools that eventually inform care for people with inherited conditions.
How similar studies have performed: Related AI approaches have shown promise for genomic tasks, but applying deep learning at population-scale whole-genome inference is still relatively new and being actively tested.
Where this research is happening
EUGENE, UNITED STATES
- UNIVERSITY OF OREGON — EUGENE, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: KERN, ANDREW D — UNIVERSITY OF OREGON
- Study coordinator: KERN, ANDREW D
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.