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Table 1 Comparison of epigenetic aging clocks in mice and men

From: Epigenetic aging clocks in mice and men

Featurea Human Mouse
DNAm datasets used to derive predictors Microarray data RRBS and WGBS
Signatures for specific tissues Blood [2, 3] Liver [5] and blood [6]
Multi-tissue age predictor Horvath predictor [4] Stubbs et al. predictor [7]
MAE of multi-tissue age predictors Usually <4 years (~5% of lifespan) 3.33 weeks in test dataset (~5% of lifespan)
Predictors based on individual CpGs Multiple assays described (for example, [3]) Not yet described
Association of DNAm age with gender Female samples are predicted to be younger [3, 4, 12] No evidence so far [7]
Association of DNAm age with life expectancy Yes—with higher all-cause mortality [11] Yes—evidence from long-lived mice [5]
Association of DNAm age with nutrition Accelerated epigenetic age in higher BMI [13] Caloric restriction significantly delays epigenetic aging [5, 6, 9, 10]
Clock reset on reprogramming into iPSCs Yes [3, 4] Yes [6]
  1. aNote that few studies in mice have been carried out so far, so the information is based on a small number of studies published at the time of writing. DNAm DNA methylation, iPSC induced pluripotent stem cell, MAE median absolute error, RRBS reduced representation bisulfite sequencing, WGBS whole-genome bisulfite sequencing