Only subjects with GWAS data and cannabis frequency of use data available at 3 or more assessment waves (N=1,167) were included in the growth mixture models. Latent class growth analysis (LCGA) with a zero-inflated Poisson model in MPlus v841 was used to assign these individuals to classes that were derived using cannabis past year frequency of use categories from each of the up to 7 interviews (baseline through 12 - year follow-up). Age at assessment was used as the analytic unit (i.e., the x-axis). Analysis details are available in Supplemental Materials.
