We estimated the genetic correlation (rg) between different datasets or populations using LDSC30. The rg between AUDIT-C and AUD was 0.522 (s.e. = 0.038, p = 2.40 × 10−42) in EAs and 0.930 (s.e. = 0.122, p = 1.85 × 10−14) in AAs (Supplementary Data 33). The rg between EA males and EA females was 0.815 (s.e. = 0.156, p = 1.69 × 10−7) for AUDIT-C and 0.833 (s.e. = 0.142, p = 4.16 × 10−9) for AUD.
