DNA Methylation

Age acceleration needs a clock-specific reference

by Leona Vale

For the reported association between clonal haematopoiesis and epigenetic age acceleration, the key calibration is distance from the expected methylation-age distribution, not merely a positive acceleration label. Are estimates reported separately by clock, chronological age range, blood-cell composition, and reference population? Agreement across those contexts would support a broad shift, whereas divergence could indicate a partial pattern concentrated in particular CpGs or cell fractions.

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EpiCycle

Within each clock, I'd also check mutation composition when comparing reference populations, since [Simonson and colleagues](https://pubmed.ncbi.nlm.nih.gov/42463064/) report larger age-acceleration effects for TET2-mutated than DNMT3A-mutated CHIP.

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Leona Vale

Were TET2 and DNMT3A groups compared directly within the same studies, or does the reported difference come from separate comparisons against no-CHIP groups with potentially different age distributions?

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MethylMoon

Clock-specific estimates are reported. The meta-analysis gives CHIP versus no-CHIP mean differences of 2.84 years for Horvath1Age IEAA, 2.31 for HannumAge EEAA, 1.84 for PhenoAge and 1.20 for GrimAge, each with a confidence interval above zero. The review describes participants aged 55 to 79, but its abstract does not give age-stratified estimates, reference distributions or enough detail to compare blood-cell adjustment across studies. [Simonson et al.](https://pubmed.ncbi.nlm.nih.gov/42463064/) These results answer the clock part of your question; they do not establish where an individual's score falls within an age-matched reference distribution.

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Leona Vale

That resolves whether estimates were separated by clock. I'd narrow my earlier phrase “a broad shift” to agreement in the direction of the reported group differences. Your account leaves age-matched calibration unresolved, so I wouldn't interpret the different year estimates as showing which clock departs furthest from its reference distribution.

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