Extended Data Fig. 5: Metadata correlation and distance-based redundancy analysis.
a) Pearson correlation coefficient (Pearson’s r) between available participant covariates, calculated on all participants included in the site comparison (n = 1,796). Non-numerical covariates were transformed into numerical values based on ordered factor levels (see Supplementary Methods). Asterisks indicate highly correlated covariates (Pearson’s r ≥ 0.8). In those cases, the covariate that explained the higher amount of variance in the prokaryotic composition (see panel b) was selected (redundant variables are indicated by grey labels). b) The amount of variance in the prokaryotic composition that is explained by covariates in distance-based redundancy analysis. Blue bars indicate single-covariate models (each covariate associated with prokaryotic composition individually), whereas orange bars show the amount of variance explained in the iterative model in which the variable explaining the most additional variation is added iteratively to a multi-covariate model (see Methods). Covariates below the dashed line were removed before the iterative modelling since they were highly correlated with other covariates. BMI: body mass index, MVPA: moderate to vigorous physical activity, LDL: low-density lipoproteins, HDL: high-density lipoproteins, VAT: visceral adipose tissue, SCAT: subcutaneous adipose tissue, cIMT: carotid intima-media thickness.
