In unadjusted analyses in AAs, all three candidate phenotypes were associated with rs2066702 (χ2 p-values all < 10−21) (upper half of Table 2, Figure 2a-c). In ordered logit models, adjusting for the first 10 PCs, sex, and age, the association was strongest for age-adjusted mean AUDIT-C score, treated as an ordinal variable (p=5.12 × 10−29). After accounting for age-adjusted mean AUDIT-C score, the addition of AUDIT-C trajectories did not improve the model fit (both pseudo R2=0.014; likelihood ratio test statistic (LRT)=0.57, degrees of freedom (df)=3, p=0.90). However, the addition of AUD diagnostic codes improved discrimination (LRT=49.5, df=1, p=1.98 × 10−12) (Table 2a and b and Figure 3a).
