Association of facial ageing with DNA methylation and epigenetic age predictions.

Published

Journal Article

Evaluation of biological age, as opposed to chronological age, is of high relevance for interventions to increase healthy ageing. Highly reproducible age-associated DNA methylation (DNAm) changes can be integrated into algorithms for epigenetic age predictions. These predictors have mostly been trained to correlate with chronological age, but they are also indicative for biological ageing. For example, accelerated epigenetic age of blood is associated with higher risk of all-cause mortality in later life. The perceived age of facial images (face-age) is also associated with all-cause mortality and other ageing-associated traits. In this study, we therefore tested the hypothesis that an epigenetic predictor for biological age might be trained on face-age as a surrogate for biological age rather than on chronological age. Our data demonstrate that facial ageing does not correlate with either the epigenetic clock or blood-based DNAm measures.

Full Text

Cited Authors

  • Marioni, RE; Belsky, DW; Deary, IJ; Wagner, W

Published Date

  • November 8, 2018

Published In

Volume / Issue

  • 10 / 1

Start / End Page

  • 140 -

PubMed ID

  • 30409196

Pubmed Central ID

  • 30409196

Electronic International Standard Serial Number (EISSN)

  • 1868-7083

International Standard Serial Number (ISSN)

  • 1868-7075

Digital Object Identifier (DOI)

  • 10.1186/s13148-018-0572-2

Language

  • eng