Understanding how genetics affects cell behavior and disease
Linking genetics to cellular behavior and disease via multimodal data integration
['FUNDING_OTHER'] · UNIVERSITY OF CALIFORNIA AT DAVIS · NIH-11062758
This study is looking at how our genes can change the way our cells behave, which is important for understanding diseases, especially those related to the brain. By using smart computer techniques, the researchers want to find out how different genetic traits can affect cell shape and function, helping to predict how these changes might relate to mental health and developmental issues.
Quick facts
| Phase | ['FUNDING_OTHER'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | UNIVERSITY OF CALIFORNIA AT DAVIS (nih funded) |
| Locations | 1 site (DAVIS, UNITED STATES) |
| Trial ID | NIH-11062758 on ClinicalTrials.gov |
What this research studies
This research investigates the relationship between genetic variations and how they influence cellular behaviors, such as the shape and function of cells, which are crucial for understanding disease progression. By utilizing advanced deep learning techniques, the project aims to analyze multimodal datasets to create models that link genetic information with cellular characteristics. This approach will help predict how these cellular behaviors are affected by genetic differences, particularly in relation to psychiatric and neurodevelopmental disorders. The research seeks to overcome challenges in measuring cellular phenotypes by developing innovative frameworks that can also estimate these characteristics when direct measurement is not possible.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals with psychiatric or neurodevelopmental disorders who may have genetic variations impacting their condition.
Not a fit: Patients without any genetic variations or those not affected by psychiatric or neurodevelopmental disorders may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to improved understanding and treatment options for diseases linked to genetic variations.
How similar studies have performed: Other research has shown promise in using deep learning to analyze genetic and cellular data, indicating potential for success in this novel approach.
Where this research is happening
DAVIS, UNITED STATES
- UNIVERSITY OF CALIFORNIA AT DAVIS — DAVIS, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: QUON, GERALD — UNIVERSITY OF CALIFORNIA AT DAVIS
- Study coordinator: QUON, GERALD
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.
Conditions: Disease, Disease Progression, Disorder