We examined PRS generated from the AUDIT-C and AUD GWASs in three samples (Supplementary Figs. 23–26). First, in a hold-out MVP sample of EAs and AAs (described in Methods), AUDIT-C and AUD PRS were significantly associated with both AUDIT-C and AUD phenotypes (Supplementary Data 42, 43). Lower p value thresholds of AUDIT-C PRS were associated with AUDIT-C score and AUD diagnosis codes, with the most significant being 1 × 10−7 (EA AUDIT-C: β = 0.088, p = 1.43 × 10−44; EA AUD: β = 0.137, p = 3.03 × 10−30; AA AUDIT-C: β = 0.094, p = 2.82 × 10−17; AA AUD: β = 0.110, p = 1.3 × 10−10). All p value thresholds for AUD PRS were associated with both AUDIT-C score and AUD diagnosis codes, with the most significant being 1 × 10−7 for EAs (AUDIT-C: β = 0.095, p = 8.98 × 10−51; AUD: β = 0.147, p = 6.02 × 10−34) and 1 × 10−7 for AAs (AUDIT-C: β = 0.066, p = 3.69 × 10−9; AUD: β = 0.098, p = 1.09 × 10−9).
