Using longitudinal EHR data linked to genome-wide association study (GWAS) data in the Million Veteran Program, we used two population-specific missense single nucleotide polymorphisms (SNPs) in ADH1B as criterion measures to determine whether longitudinal trajectories of AUDIT-C, age-adjusted mean AUDIT-C, or administrative codes for AUD provided the best phenotype for genetic discovery. We also considered whether additional information was gained by combining metrics.
