How changes in protein-building parts of genes affect health and traits
The functional and phenotypic effects of protein coding genetic variation
Researchers are using AI and large genetic datasets to link changes in protein-coding parts of genes to people's traits and health.
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 ID | NIH-11128618 on NIH RePORTER |
What this research studies
You can expect researchers to use AI and statistical methods to predict how specific protein-coding changes affect proteins and health. They'll combine advanced variant-effect models with large genetic and clinical datasets to connect functional predictions to real-world traits and diseases. The focus is on rare protein-coding variants that are often unclear in standard genetic reports. Most of this work is computational and uses existing data, so you would generally not need to visit a lab to contribute through data sharing.
Who could benefit from this research
Good fit: Ideal candidates are people who have genetic test results showing rare protein-coding variants or those willing to share genetic and health data to improve variant interpretation.
Not a fit: Patients without relevant genetic variants or those seeking immediate new treatments are unlikely to receive direct clinical benefit from this computational research.
Why it matters
Potential benefit: If successful, this work could make genetic test results more informative by clarifying which rare protein-coding variants are likely to cause disease or change risk.
How similar studies have performed: Several recent AI-based variant effect predictors have shown promising performance, but applying those predictions to predict patient traits and clinical impact is still an emerging area.
Where this research is happening
Boston, United States
- Harvard Medical School — Boston, United States (Active)
Researchers
- Principal investigator: O'connor, Luke Jen — Harvard Medical School
- Study coordinator: O'connor, Luke Jen
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.