Using gene editing to predict and control health traits influenced by multiple genes
Predicting and controlling polygenic health traits using probabilistic models and evolution-inspired gene editing
['FUNDING_OTHER'] · UNIVERSITY OF CALIFORNIA BERKELEY · NIH-11123794
This study is exploring how we can better understand and fix genetic issues that affect health by looking at a plant called Arabidopsis thaliana, with the hope that what we learn can help manage genetic diseases in people.
Quick facts
| Phase | ['FUNDING_OTHER'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | UNIVERSITY OF CALIFORNIA BERKELEY (nih funded) |
| Locations | 1 site (BERKELEY, UNITED STATES) |
| Trial ID | NIH-11123794 on ClinicalTrials.gov |
What this research studies
This research investigates how to predict and manage health traits that are influenced by multiple genes, using advanced probabilistic models and gene editing techniques inspired by evolution. By studying the model plant Arabidopsis thaliana, the researchers aim to understand how various genetic mutations can affect health and adaptability in different environments. The project focuses on correcting harmful mutations while minimizing unintended consequences, which could lead to better management of genetic diseases in humans. The findings may provide insights into the complex interactions of genes and their effects on health.
Who could benefit from this research
Good fit: Ideal candidates for this research would include individuals with genetic conditions influenced by polygenic traits, particularly those related to adaptability and disease susceptibility.
Not a fit: Patients with single-gene disorders or those not affected by polygenic traits may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to safer and more effective gene editing strategies for treating genetic diseases in humans.
How similar studies have performed: While gene editing has shown promise in various applications, this specific approach to predicting and controlling polygenic traits is relatively novel and has not been extensively tested.
Where this research is happening
BERKELEY, UNITED STATES
- UNIVERSITY OF CALIFORNIA BERKELEY — BERKELEY, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: EXPOSITO-ALONSO, MOISES — UNIVERSITY OF CALIFORNIA BERKELEY
- Study coordinator: EXPOSITO-ALONSO, MOISES
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.