Mixed
Increasing the training sample size of DNA methylation-based epigenetic clocks improves prediction accuracy of chronological age, which attenuates the association between age acceleration residuals (AAR) and mortality, suggesting previous associations were confounded by cellular composition.
Current 'epigenetic clocks' (like Horvath or Hannum) that claim to measure 'biological age' and predict mortality may be flawed because they are confounded by blood cell counts. Using larger, more precise datasets to build these clocks removes the mortality prediction, suggesting these clocks measure chronological time accurately but do not necessarily predict healthspan or lifespan. Do not rely on standard AAR metrics for mortality risk assessment without adjusting for cellular composition.
The association between AAR and mortality attenuates as prediction accuracy increases. AAR from our best predictor... exhibits no association with mortality in both LBC1921... and LBC1936... Predictors based on small sample size are prone to confounding by cellular compositions relative to those from large sample size.
Why this rating
Large sample size (N=13,661 for training), rigorous statistical methods (Cox regression, permutation tests), but limited to two specific cohorts for mortality analysis.
Source
Improved precision of epigenetic clock estimates across tissues and its implication for biological ageing
Qian Zhang et al. · Genome Medicine · 2019
DOI 10.1186/s13073-019-0667-1
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