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_4cohort_age_60_z_3_5 Exclusive	ad_tier1_36	3.23e-01	6.54e-01	4.89e-01	1.10e-01
ad_tier1_36 Exclusive	Sigma_EUR_phenotypes2_excluding_4cohort_age_60_z_3_5	4.10e-01	9.90e-01	8.94e-01	8.48e-01
Sigma_EUR_phenotypes2_excluding_4cohort_age_60_z_3_5 Exclusive	ad_tier1_36 Exclusive	5.72e-01	6.41e-01	4.36e-01	1.69e-01
ad_tier1_36 Exclusive	Sigma_EUR_phenotypes2_excluding_4cohort_age_60_z_3_5 Exclusive	3.83e-01	9.07e-01	7.19e-01	9.34e-01
Sigma_EUR_phenotypes2_excluding_4cohort_age_60_z_3_5 Exclusive	Overlap	4.78e-01	8.56e-01	7.77e-01	7.85e-01
ad_tier1_36 Exclusive	Overlap	2.74e-08	1.83e-09	9.14e-09	1.28e-07
Overlap	Exclusives	3.56e-03	5.95e-03	2.28e-08	2.22e-03



Evaluating how well Sigma_EUR_phenotypes2_excluding_4cohort_age_60_z_3_5 genes are linked to ad_tier1_36 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_4cohort_age_60_z_3_5 Exclusive	ad_tier1_36	0.55	-0.73	-0.70	-0.41	1.08
ad_tier1_36 Exclusive	Sigma_EUR_phenotypes2_excluding_4cohort_age_60_z_3_5	0.51	0.04	0.07	0.32	0.50
Sigma_EUR_phenotypes2_excluding_4cohort_age_60_z_3_5 Exclusive	ad_tier1_36 Exclusive	0.55	-0.55	-0.66	-0.47	0.90
ad_tier1_36 Exclusive	Sigma_EUR_phenotypes2_excluding_4cohort_age_60_z_3_5 Exclusive	0.49	-0.49	-0.39	-0.27	-0.32
Sigma_EUR_phenotypes2_excluding_4cohort_age_60_z_3_5 Exclusive	Overlap	0.59	-1.19	-0.82	-0.75	0.55
ad_tier1_36 Exclusive	Overlap	1.00	2.86	2.86	2.68	3.20
Overlap	Exclusives	0.59	4.22	3.10	3.01	3.52

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_4cohort_age_60_z_3_5 Exclusive	ad_tier1_36	0.00	-0.97	-1.10	-0.64	-0.16
ad_tier1_36 Exclusive	Sigma_EUR_phenotypes2_excluding_4cohort_age_60_z_3_5	0.01	3.00	4.55	1.51	3.32
Sigma_EUR_phenotypes2_excluding_4cohort_age_60_z_3_5 Exclusive	ad_tier1_36 Exclusive	0.00	-0.61	-1.13	-0.56	-0.31
ad_tier1_36 Exclusive	Sigma_EUR_phenotypes2_excluding_4cohort_age_60_z_3_5 Exclusive	0.00	-0.82	-0.79	-0.60	-0.40
Sigma_EUR_phenotypes2_excluding_4cohort_age_60_z_3_5 Exclusive	Overlap	0.00	-0.93	-0.75	-0.34	-0.29
ad_tier1_36 Exclusive	Overlap	0.05	52.29	155.68	115.51	134.99
Overlap	Exclusives	0.03	22.25	12.32	30.20	23.37

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_4cohort_age_60_z_3_5 Exclusive	87	87	
ad_tier1_36 Exclusive	27	26	MS4A
Overlap	4	4