B4323 - Combining polygenic risk scores to optimize prediction of alcohol problems - 31/05/2023
B number:
B4323
Principal applicant name:
Frances Wang | University of Pittsburgh (United States)
Co-applicants:
Title of project:
Combining polygenic risk scores to optimize prediction of alcohol problems
Proposal summary:
Problematic alcohol use is a major public health burden. It is important to understand how to best predict individuals most at risk for alcohol problems so they can be targeted for early prevention efforts. This project will explore whether combining polygenic risk scores can enhance the prediction of alcohol problems.
Impact of research:
Efforts to optimize polygenic risk prediction for alcohol problems could eventually help with prevention and intervention screening. This would be a critical step towards personalized medicine. As there are multiple different pathways individuals can take to alcohol problems, it is important for this to be reflected in polygenic risk prediction.
Date proposal received:
Tuesday, 9 May, 2023
Date proposal approved:
Wednesday, 31 May, 2023
Keywords:
Genetic epidemiology (including association studies and mendelian randomisation), Addiction - e.g. alcohol, illicit drugs, smoking, gambling, etc., Statistical methods, Biological samples -e.g. blood, cell lines, saliva, etc., Genetic epidemiology, Genetics, Social science