Figure 2. Contribution of baseline immune parameters and multi-omics to cytokine variation.

(a) Percentage of variation in stimulated cytokine production explained by each category of measurements. The distribution indicates the adjusted R² of a set multivariate linear models (MVLM) representing cytokine stimulation pairs from PBMC (n=67 models), whole blood (n=16 models) and PBMC derived macrophages (n=8 models). Each dot represents the adjusted R² of a MVLM for a specific cytokine stimulation pair. (b) Contribution of each category to inter-individual cytokine variation. X-axis denotes the adjusted R² values for the MVLMs. Bars indicate the adjusted R² estimated on the full dataset. Error bars indicate the standard deviation in adjusted R² of 10 MVLMs trained on a random subset of samples from the full data (90% of all samples). Y-axis denotes the cytokine-stimulation pairs. Colors indicate different stimulations applied in the experiments. Sample sizes differ between the different categories with the platelet, immune modulator, immunoglobulin and classical phenotypes having n = 489, the immune cell counts n = 472, the metabolites n = 377, microbial pathways n = 384, microbial taxonomy n = 411, hormones n = 486 and SNPs n = 392 samples. Every sample represents an individual.