Supplementary Table S10.

Summary of Datasets Used in Multiomic Analysis

Dataset	Measurement Type	Inclusion Criteria	No. of Features Included	Normalization Method
Microbial spp. (n = 40)	Shotgun metagenomics from stool samples	Nonzero counts in at least 10 samples	142	Counts per million
Microbial UniRef90 gene families (n = 40)	Shotgun metagenomics from stool samples	At least three counts for 80% of all metagenomics samples (total is 52 samples)	2,488	Counts per million
Microbial MetaCyc pathways (n = 40)	Shotgun metagenomics from stool samples	All metacyc pathways identified by humann2	334	Counts per million
Flow cell population (n = 40)	Flow cytometry from PBMCs	Include all data collected	25	Percentage of parental gate
Flow cytokine production (n = 40)	Flow cytometry from PBMCs	Include all data collected	29	Percentage of parental gate
Host RNA-seq (n = 40)	RNA-seq from sigmoidal colon biopsies	Top 500 most variable genes + all DE genes identified by either disease comparison or PSO subgroup comparisons + inflammatory genes	601	vst transformation to ensure variance is constant across the data

Abbreviations: DE, differentially expressed; No., number; PSO, psoriasis; RNA-seq, RNA sequencing; vst, variance stabilizing transformation.