Fig. 2: Fluxome-wide association study (FWAS) between genetically personalised flux maps and blood metabolic features.
From: Genetically personalised organ-specific metabolic models in health and disease
a, b, d Quantile-quantile (QQ) plot of the observed P values for associations between flux values and blood metabolic features measured with the Nightingale Health platform in INTERVAL (a), Metabolon HD4 platform in INTERVAL (b) and Nightingale Health platform in UK Biobank (d). The red lines indicate the expected distribution of P values under a uniform distribution (i.e., null hypothesis). c Plot of statistically significant (FDR-adjusted P value < 10−6) flux effect sizes per organ to blood metabolic features measured with either the Nightingale Health or Metabolon HD4 assay in INTERVAL. A violin plot, coloured in pale azure, shows the distribution of both significant and non-significant effect sizes. The statistical significance of each flux to blood metabolic feature associations was evaluated with linear regression (two-tailed t-test for flux effect size; Methods).
