A generalized estimating equation (GEE) model was used to test the association of PGSAUD with COGA 12-month, abstinent, and non-abstinent remission versus current AUD among participants with lifetime AUD; a random effect was included to adjust for family relationships. A logistic regression model was used to test for remission versus current AUD in Indiana Biobank. For both COGA and Indiana Biobank samples, sex, age, and the first 10 ancestral principal components (PCs) were included as covariates. For remitted participants, age was defined as the age at first remission; for current AUD, age was the age at the last interview (COGA) or age at the last medical encounter (Indiana Biobank). For COGA EA participants, an additional array indicator was included to account for effects due to the use of different genotyping arrays. Additional covariates included in COGA analyses only were AUD duration, AUD criterion count, maximum drinks in 24 hours, family history of remission, and alcohol treatment history. Covariates were included even if they were not significant, for the purpose of accurately estimating the effects of PGSAUD.
