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

Tytuł:: Association of facial ageing with DNA methylation and epigenetic age predictions.
Autorzy:: Marioni RE; Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, EH4 2XU, UK. .; Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, EH8 9JZ, UK. .
Belsky DW; Department of Population Health Sciences, School of Medicine, Duke University, Durham, NC, 27710, USA.; Social Science Research Institute, Duke University, Durham, NC, 27710, USA.
Deary IJ; Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, EH8 9JZ, UK.; Department of Psychology, University of Edinburgh, Edinburgh, EH8 9JZ, UK.
Wagner W; Helmholtz-Institute for Biomedical Engineering, Stem Cell Biology and Cellular Engineering, RWTH Aachen Faculty of Medicine, Aachen, Germany. .
Źródło:: Clinical epigenetics [Clin Epigenetics] 2018 Nov 08; Vol. 10 (1), pp. 140. Date of Electronic Publication: 2018 Nov 08.
Typ publikacji:: Journal Article; Research Support, Non-U.S. Gov't
Język:: English
Imprint Name(s):: Publication: Oct./Nov. 2011- : London : BiomedCentral
Original Publication: Berlin : Springer-Verlag
MeSH Terms:: DNA Methylation*
Aging/*genetics
Genome-Wide Association Study/*methods
Aged ; Aged, 80 and over ; CpG Islands ; Epigenesis, Genetic ; Female ; Humans ; Male ; Middle Aged
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Grant Information:: United Kingdom WT_ Wellcome Trust; MR/K026992/1 United Kingdom MRC_ Medical Research Council; United Kingdom BB_ Biotechnology and Biological Sciences Research Council
Contributed Indexing:: Keywords: DNA methylation; Epigenetic clock; Facial ageing; Survival
Entry Date(s):: Date Created: 20181110 Date Completed: 20190722 Latest Revision: 20220510
Update Code:: 20240105
PubMed Central ID:: PMC6225560
DOI:: 10.1186/s13148-018-0572-2
PMID:: 30409196
: Czasopismo naukowe

Pełny tekst

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.

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