We examined association of genome-wide significant SNPs with longitudinal trajectories of theta EEG coherence in adolescent and young adult offspring ages 12-31 from COGA families (N: 2,316, EA: 1,265, AA: 1,051). Association trajectory modeling was carried out as described previously32. Briefly, a local linear regression model was fitted to the data, with additive effects of the genome-wide significant SNP as the predictor and low theta EEG coherence measure as the outcome. Additional covariates included sex, family history of AUD, 3 ancestral PCs, and sex × genotype interaction. Additionally, a sensitivity model was examined, in which we controlled for the participant’s maximum number of drinks consumed in a typical week over the last 12 months.
