Probing epigenetic clocks as a rational markers of biological age using blood cell counts

Abstract

BackgroundEpigenetic clocks are widely applied biomarkers of biological age, but their biological underpinnings remain unclear. We previously showed that epigenetic clocks are affected by naive and memory T cell proportions, suggesting blood cell composition as a potential driver. MethodsHere, we quantify the contribution of cell counts to DNA methylation age (DNAmAge) and age acceleration (AgeAccel) estimated by six 1st- or 2nd-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. ResultsApplying this approach, we find strong associations between DNAmAge and cell counts, particularly with naive and memory T cells. In contrast, associations between AgeAccel and cell counts are weaker and, particularly for 2nd-generation clocks, primarily involve neutrophils. We validate these findings in an external dataset of artificial cell mixtures. ConclusionsWe conclude that DNAmAge and AgeAccel reflect different biological processes.