Comparing distributions of experimental and random diffusion values (p-values for KS tests) Seeds Recipients Randomize Seeds (degree-matched) Randomize Recipients (degree-matched) Randomize Seeds (uniform) Randomize Recipients (uniform) Sigma_EUR_phenotypes2_excluding_old_samples_86_z_3 Exclusive ad_gs_tier1 9.93e-01 7.78e-01 9.99e-01 2.10e-01 ad_gs_tier1 Exclusive Sigma_EUR_phenotypes2_excluding_old_samples_86_z_3 2.70e-01 4.77e-01 3.62e-01 1.33e-01 Sigma_EUR_phenotypes2_excluding_old_samples_86_z_3 Exclusive ad_gs_tier1 Exclusive 9.95e-01 8.23e-01 9.85e-01 7.78e-01 ad_gs_tier1 Exclusive Sigma_EUR_phenotypes2_excluding_old_samples_86_z_3 Exclusive 2.53e-01 5.80e-01 2.88e-01 3.53e-01 Sigma_EUR_phenotypes2_excluding_old_samples_86_z_3 Exclusive Overlap 4.54e-01 8.69e-01 8.15e-01 8.38e-02 ad_gs_tier1 Exclusive Overlap 1.83e-09 1.83e-09 1.83e-09 1.83e-06 Overlap Exclusives 4.23e-03 2.40e-03 2.92e-11 1.52e-03 Evaluating how well Sigma_EUR_phenotypes2_excluding_old_samples_86_z_3 genes are linked to ad_gs_tier1 genes, comparing against random ROC results Seeds Recipients AUROC Z-score for Random Seeds (degree-matched) Z-score for Random Recipients (degree-matched) Z-score for Random Seeds (uniform) Z-score for Random Recipients (uniform) Sigma_EUR_phenotypes2_excluding_old_samples_86_z_3 Exclusive ad_gs_tier1 0.58 0.12 -0.78 -0.18 1.77 ad_gs_tier1 Exclusive Sigma_EUR_phenotypes2_excluding_old_samples_86_z_3 0.52 0.14 0.16 0.31 1.13 Sigma_EUR_phenotypes2_excluding_old_samples_86_z_3 Exclusive ad_gs_tier1 Exclusive 0.56 -0.20 -0.96 -0.40 0.68 ad_gs_tier1 Exclusive Sigma_EUR_phenotypes2_excluding_old_samples_86_z_3 Exclusive 0.51 -0.40 -0.19 -0.09 0.40 Sigma_EUR_phenotypes2_excluding_old_samples_86_z_3 Exclusive Overlap 0.75 0.92 0.33 0.34 1.76 ad_gs_tier1 Exclusive Overlap 1.00 2.95 3.01 2.52 3.58 Overlap Exclusives 0.58 5.25 3.29 2.49 3.67 PRC results Seeds Recipients AUPRC Z-score for Random Seeds (degree-matched) Z-score for Random Recipients (degree-matched) Z-score for Random Seeds (uniform) Z-score for Random Recipients (uniform) Sigma_EUR_phenotypes2_excluding_old_samples_86_z_3 Exclusive ad_gs_tier1 0.00 -0.23 -0.85 -0.41 0.27 ad_gs_tier1 Exclusive Sigma_EUR_phenotypes2_excluding_old_samples_86_z_3 0.01 2.66 2.93 1.95 1.06 Sigma_EUR_phenotypes2_excluding_old_samples_86_z_3 Exclusive ad_gs_tier1 Exclusive 0.00 -0.44 -1.00 -0.30 -0.15 ad_gs_tier1 Exclusive Sigma_EUR_phenotypes2_excluding_old_samples_86_z_3 Exclusive 0.01 -0.60 -0.37 -0.34 -0.23 Sigma_EUR_phenotypes2_excluding_old_samples_86_z_3 Exclusive Overlap 0.00 -0.37 -0.46 -0.45 0.29 ad_gs_tier1 Exclusive Overlap 0.05 147.82 206.34 170.62 30.31 Overlap Exclusives 0.03 17.73 36.66 20.25 15.09 Z-scores are computed for the experimental area under ROC or PRC based on distributions of the random areas under these curves Seeds: Genes where diffusion signal starts FROM) Recipients: Genes that receive the diffusion signal and that are in the other validated group Random genes are selected either uniformly or degree matched Number of genes ** #Total # Mapped in the network Not mapped genes Sigma_EUR_phenotypes2_excluding_old_samples_86_z_3 Exclusive 139 138 CHURC1-FNTB ad_gs_tier1 Exclusive 27 26 MS4A Overlap 4 4