Using the UKB GWAS summary statistics PRS for alcohol consumption were calculated in GS to determine the amount of variance that could be explained using a risk-score approach. PRSs for alcohol consumption in GS were found to be positively associated with alcohol consumption (β=0.08, P=6.5 × 10−24) but only 0.6% of the variance in alcohol consumption was explained (Table 2). PRSs were also tested for association with traits found to have a significant genetic correlation with alcohol consumption in the LD score regression analyses. BMI, weight, hip circumference, smoking status and HDL cholesterol levels were all available in the GS cohort. Significant associations between alcohol PRS and smoking were detected after adjustment for multiple testing (β=−0.143, P=0.01), and with HDL cholesterol (β=0.03, P=4.3 × 10−5) and BMI (β=0.02, P=0.0013) (Table 2). No significant associations were found between PRSs and hip circumference.
