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Proteomic aging signatures predict disease risk and mortality across diverse populations
Nature Medicine ( IF 58.7 ) Pub Date : 2024-08-08 , DOI: 10.1038/s41591-024-03170-9
Nature Medicine ( IF 58.7 ) Pub Date : 2024-08-08 , DOI: 10.1038/s41591-024-03170-9
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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.
更新日期：2024-08-08
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