PDE5A and cancer: We trained models using the same 80% training and 20% test sets as the 45 models described above by removing each of the nine classes of risk variables one at a time (age, sex, cancer history, SDOH, lifestyle, genotype PCs, longitude and latitude, PDE5A inhibitors, and self-reported race and ethnicity) and evaluated the prediction accuracy in all participants, Males, Females, individuals of European ancestries, and individuals of non-European ancestries (Fig. S6, Table S7).