A Nature Communications study unveiled OmniAge, an “aging biomarkers” compendium that integrates multiple omics layers and uses biomarker mapping to investigate biological causality. The work links measures of cellular aging with clonal hematopoiesis patterns in blood, targeting a long-running question about how aging phenotypes connect to clonal expansions. Researchers led by Du, Ling, Tong and colleagues describe a cross-omic framework intended to connect aging-associated signals with blood-lineage dynamics. The report positions OmniAge as a resource to prioritize which aging markers may reflect upstream biology rather than downstream effects. For biotech and translational development, the study supports the growing use of multi-modal biomarker discovery to de-risk which aging readouts might have predictive value in clinical settings.