StackAge: an ensemble-based clock for precise quantification of biological age using multi-omics data - PubMed
4 hours ago
- #multi-omics integration
- #biological aging clock
- #disease prediction
- StackAge is an ensemble-based biological aging clock that integrates plasma proteomic and metabolomic data from over 30,000 UK Biobank participants.
- It shows high accuracy in age prediction, with a Pearson correlation of approximately 0.93 with chronological age, and improves risk prediction for 12 chronic diseases.
- Aging-associated biomarkers in StackAge are linked to inflammation, metabolic stress, and extracellular matrix remodeling pathways.
- The tool suggests that modifiable lifestyle factors can accelerate biological aging, increasing susceptibility to various disorders.
- StackAge establishes a multi-omics framework for quantifying aging trajectories, positioning biological age as a key indicator for precision health management.