Multi-organ metabolome biological age implicates cardiometabolic conditions and mortality risk

Multi-organ biological aging clocks across different organ systems have been shown to predict human disease and mortality. Here, we extend this multi-organ framework to plasma metabolomics, developing five organ-specific metabolome-based biological age gaps (MetBAGs) using 107 plasma non-derivatized metabolites from 274,247 UK Biobank participants. Our age prediction models achieve a mean absolute error of approximately 6 years (0.25-8/5). Using SBayesS, we estimate the SNP-based heritability (0.09< $h_{SNP}^2$  < 0.18), negative selection signatures (-0.93 < S < -0.76), and polygenicity (0.001