Epigenetic aging clocks in mice and men

Table 1 Comparison of epigenetic aging clocks in mice and men

Feature^a	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]

^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

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