Extended Data Fig. 7: Amount of variance explained in plasma levels of metabolites by different risk factors at baseline.
From: Plasma metabolites to profile pathways in noncommunicable disease multimorbidity

A Results from variance decomposition analysis of plasma metabolites levels using information on 50 baseline characteristics. Each trait was treated separately to avoid collinearity in a model comprising age, sex, blood sampling time, and fasting duration. B Mirrored Manhattan-like plot showing the p-values from linear regression models using one of the traits on the x-axis as exposure and metabolite levels as outcome adjusting for age and sex. Colours indicate metabolite classes and numbers on top indicate number of significantly associated metabolites (p < 4.93 × 10−5). Grey dots indicate associations not reaching significance. Positive associations are displayed in the upper panel and inverse associations in the lower. Labels are explained in Supplementary Table 2.