Here I will show results of the univariate analysis of correlation of DNA methylation with clinical traits such as survival, days to tumor recurrence, tumor stage, tumor grade, age, primary therapy outcome and tumor residual disease.

Most of the P value distributions look flat or just bad so I didn't see why I would calculate FDR for them, that's why that column is empty.

Survival

P value	# of targets	FDR
0.001	5
0.005	46
0.01	107
0.05	859

Method: Cox Proportional Hazards model, P values = Wald's test. This distribution of P values concerns me. If I had no signal the distribution would be rather uniform rather than skewed towards 1. I think it might mean that I have some normalization issues (need to show this plot to Brig)

Days to tumor recurrence

P value	# of targets	FDR
0.001	27
0.005	149
0.01	302
0.05	1543

Method: Cox Proportional Hazards model, P values = Wald's test.

Primary therapy outcome

Method: Kruskal Wallis test

P value	# of targets	FDR
0.001	19
0.005	111
0.01	205
0.05	1128

Tumor grade

Method: Kruskal Wallis test

Why does the distribution look so weird?!!!

P value	# of targets	FDR
0.001	2
0.005	25
0.01	86
0.05	798

Tumor stage

Method: Kruskal Wallis test

It looks weird!

P value	# of targets	FDR
0.001	7
0.005	39
0.01	105
0.05	830

Tumor residual disease

Method: Kruskal Wallis test

P value	# of targets	FDR
0.001	17
0.005	89
0.01	218
0.05	1129

Age at the time of diagnosis

Method: Spearman correlation

P value	# of targets	FDR
0.001	1362
0.005	2361
0.01	3091
0.05	5933

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