In adulthood, the age-specific PGS and the common factor PGS each improved model fit above a model with just covariates. The regression coefficient for the age-specific PGS was also significant after correcting for multiple testing when the common factor PGS was excluded from the model. The significant regression coefficient associated with the age-specific PGS predicted an increase of approximately 4 drinking days per year per PGS standard deviation. The common factor PGS was not significantly associated with alcohol use frequency in adulthood after correcting for multiple testing. Nominal differences in AIC align with these results, indicating that the model with the age-specific PGS and covariates provided the best fit to the data.
