The second aim of this project was to leverage results from the longitudinal GWAS for genetic prediction of age-matched alcohol use outcomes in an independent sample. We constructed PGS using weights from the residual components (U12-17, U18-25, U26+) and the common factor (ηcommon) of the genomic structural equation model. The hypothesis for this analysis was that the age-specific PGS would predict their corresponding alcohol use phenotype significantly better than a common factor PGS from the same model.
