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Aging clocks

PCGrimAge

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PCGrimAge applies the same principal-component denoising framework introduced by Higgins-Chen et al. (2022) to the GrimAge methylation features, producing a more technically stable version of one of the strongest mortality-predictive epigenetic clocks. By regressing out array-platform and batch variance before scoring, PCGrimAge shows markedly better within-individual reproducibility than the standard GrimAge algorithm, an important property when tracking biological-age change in response to interventions such as caloric restriction, exercise, or pharmacological treatments. Like PCPhenoAge, it represents a methodological advance rather than a new biological model.

Sources

  1. Higgins-Chen AT, Thrush KL, Wang Y, Minteer CJ, Kuo PL, Wang M, Niimi P, Sturm G, Lin J, Moore AZ, Bandinelli S, Vinkers CH, Vermetten E, Rutten BPF, Geuze E, Okhuijsen-Pfeifer C, van der Horst MZ, Schreiter S, Gutwinski S, Luykx JJ, Picard M, Ferrucci L, Poganik JR, Bhanu NV, Garcia BA, Horvath S, Raj K, Levine ME. (2022). Epigenetic principal component analysis-based clocks (PC clocks) accurate across tissues. *Nature Aging*doi:10.1038/s43587-022-00248-2