We estimated the genetic correlation (rg) between AUDIT-C and AUD (from MVP), and with other traits in LD Hub58 or from published studies using LDSC, which is robust to sample overlap30. First, we estimated the rg between AUDIT-C and AUD using the summary data generated in this study. AAs, EAs, and LAs were analyzed separately using the corresponding 1000 Genome phase 3 population as reference. Genetic correlations in EAA and SAA were not analyzed. The rg between AUDIT-C and AUD was out of bounds because the h2 SNP did not differ significantly from zero. Then we tested the rg between males and females within each trait. We estimated the rg for AUDIT-C and AUD with 216 published traits in LD Hub and 493 unpublished traits from the UK Biobank. We resolved redundancy in phenotypes by manually selecting the published version of the phenotype or using the largest sample size. We also calculated the genetic correlations of both AUDIT-C and AUD with five traits for which GWAS were recently published or posted, including anorexia nervosa59, alcohol dependence13, attention deficit hyperactivity disorder60,
