L.P. Breitling, K.U. Saum, L. Perna, et al.
Clinical Epigenetics. 2016;8:21
DNA methylation patterns are known to change with chronological age. An individual’s chronological age can be predicted from DNA methylation data with accuracy. The difference between the predicted methylation age (DNAm age) and the chronological age has been termed “age acceleration”. The epigenetic clock and in particular the age acceleration, has recently suggested to closely correlate with a variety of disease phenotypes. There remains a dearth of data, however, on its association with telomere length and frailty, which can be considered major correlates of age on the genomic and clinical level, respectively.
In this study, interaction analyses were conducted to evaluate whether DNAm age alters the association of TL with frailty.
In 1820 subjects, from the ESTHER cohort study of the elderly general population in Germany, DNA methylation age was calculated based on a 353 loci predictor previously developed in a large meta-study, and the difference-based epigenetic age acceleration was calculated as predicted methylation age minus chronological age. No correlation of epigenetic age acceleration with telomere length was found. However there was an association of DNA methylation age acceleration with a comprehensive frailty measure, such that the accumulated deficits significantly increased with increasing age acceleration.



