Understanding how biological factors can predict alcohol use disorder risk
Predicting AUD development, risk and resilience phenotypes through integration of multi-modal COGA data
This study is looking at how different biological and social factors might make some people more likely to develop problems with alcohol, and it’s for anyone interested in understanding their risk so that early help can be provided.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Suny Downstate Medical Center NIH-funded |
| Lab location | 1 site (Brooklyn, United States) |
| Project ID | NIH-10870087 on NIH RePORTER |
What this research studies
This research investigates the biological and psychosocial factors that may predispose individuals to develop alcohol use disorder (AUD). By analyzing a large dataset from the Collaborative Study of the Genetics of Alcoholism, which includes diverse participants aged 8 to 68, the study aims to identify predictive models using advanced machine learning techniques. These models will help determine who is at risk of developing AUD before it occurs, potentially leading to earlier interventions. The research focuses on integrating various data types, including genetic, electrophysiological, and psychological assessments.
Who could benefit from this research
Good fit: Ideal candidates for this research include individuals aged 8 to 68, particularly those with a family history of alcohol use disorder or related conditions.
Not a fit: Patients who do not have any risk factors for alcohol use disorder or are already diagnosed with AUD may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to early identification and prevention strategies for individuals at risk of developing alcohol use disorder.
How similar studies have performed: Previous research has shown promise in using machine learning to predict various health outcomes, suggesting that this approach could be effective for alcohol use disorder as well.
Where this research is happening
Brooklyn, United States
- Suny Downstate Medical Center — Brooklyn, United States (Active)
Researchers
- Principal investigator: Kinreich, Sivan — Suny Downstate Medical Center
- Study coordinator: Kinreich, Sivan
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.