In a large human population study of proteomic aging, we developed a proteomics-based age clock for UK Biobank participants and validated its accuracy in the China Kadoorie Biobank and FinnGen. Proteomic aging is associated with mortality, risk of 18 chronic diseases and numerous age-related traits, including cognitive function.
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References
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This is a summary of: Argentieri, M. A. et al. Proteomic aging clock predicts mortality and risk of common age-related diseases in diverse populations. Nat. Med. https://doi.org/10.1038/10.1038/s41591-024-03164-7 (2024).
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Proteomic aging signatures predict disease risk and mortality across diverse populations. Nat Med 30, 2415–2416 (2024). https://doi.org/10.1038/s41591-024-03170-9
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DOI: https://doi.org/10.1038/s41591-024-03170-9
