Fig 1. Multi-‘omic’s network-based approach towards precision geroscience.

(A) Within population heterogeneity in the response to prolongevity interventions limits their therapeutic use. Multiple sources contribute to the variation in response to treatment: from genotype to microbiome, along with interaction with the environment. Information from all sources can be integrated in biological multi-‘omic’s networks that more accurately inform and predict an individual’s response to treatment as a pathway toward precision geroscience. (B) In an inbred, genetically heterogeneous population of fruit flies subject to DR, Jin and colleagues [11] integrated gene-level GWAS with metabolic profiling to build multi-‘omic’s network that display specific gene-to-metabolite-to-phenotype pathways directly associated with DR response. DR, dietary restriction; GWAS, genome-wide association study.