Genetic analysis of the AUDIT subsets revealed evidence of distinct genetic architecture between AUDIT-C and AUDIT-P (alcohol consumption vs. problem use), with support from the gene-based (Supplementary Figures 16 and 17), S-PrediXcan (Supplementary Tables 19 and 20), and genetic correlation analyses (Figure 2). Furthermore, AUDIT-P showed a strong genetic correlation with alcohol dependence (13). In contrast, AUDIT-C had a stronger genetic correlation with alcohol consumption. Thus, partitioning AUDIT scores into different subsets (alcohol consumption vs problem use) may disentangle genetic factors that contribute to different aspects of AUD vulnerability.
