Probing epigenetic clocks as a rational markers of biological age using blood cell counts
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Background
Epigenetic clocks are widely applied biomarkers of biological age, but their biological underpinnings remain unclear. We previously showed that epigenetic clocks are affected by naïve and memory T cell proportions, suggesting blood cell composition as a potential driver.
Methods
Here, we quantify the contribution of cell counts to DNA methylation age (DNAmAge) and age acceleration (AgeAccel) estimated by six 1 st - or 2 nd -generation epigenetic clocks. First, we present a principal component analysis (PCA) method that is robust to collinearity of blood cell counts and show this provides biologically meaningful insights.
Results
Applying this approach, we find strong associations between DNAmAge and cell counts, particularly with naïve and memory T cells. In contrast, associations between AgeAccel and cell counts are weaker and, particularly for 2 nd -generation clocks, primarily involve neutrophils. We validate these findings in an external dataset of artificial cell mixtures.
Conclusions
We conclude that DNAmAge and AgeAccel reflect different biological processes.
