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Socioeconomic position, lifestyle habits and biomarkers of epigenetic aging: a multi-cohort analysis

Fiorito, Giovanni
Polidoro, Silvia
CollaborationWith : Dermitzakis, Emmanouil / Stringhini, Silvia
Published in Aging. 2019, vol. 11, no. 7, p. 2045-2070
Abstract Differences in health status by socioeconomic position (SEP) tend to be more evident at older ages, suggesting the involvement of a biological mechanism responsive to the accumulation of deleterious exposures across the lifespan. DNA methylation (DNAm) has been proposed as a biomarker of biological aging that conserves memory of endogenous and exogenous stress during life.We examined the association of education level, as an indicator of SEP, and lifestyle-related variables with four biomarkers of age-dependent DNAm dysregulation: the total number of stochastic epigenetic mutations (SEMs) and three epigenetic clocks (Horvath, Hannum and Levine), in 18 cohorts spanning 12 countries.The four biological aging biomarkers were associated with education and different sets of risk factors independently, and the magnitude of the effects differed depending on the biomarker and the predictor. On average, the effect of low education on epigenetic aging was comparable with those of other lifestyle-related risk factors (obesity, alcohol intake), with the exception of smoking, which had a significantly stronger effect.Our study shows that low education is an independent predictor of accelerated biological (epigenetic) aging and that epigenetic clocks appear to be good candidates for disentangling the biological pathways underlying social inequalities in healthy aging and longevity.
Keywords AgedAging/genetics/psychologyCohort StudiesDNA MethylationEducational StatusEpigenesisGeneticFemaleHumansLife StyleMaleMutationRisk FactorsSocial Class
PMID: 31009935
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Swiss National Science Foundation: AmbizioneGrant n° PZ00P3_167732
European Commission: LIFEPATH
(ISO format)
FIORITO, Giovanni, POLIDORO, Silvia. Socioeconomic position, lifestyle habits and biomarkers of epigenetic aging: a multi-cohort analysis. In: Aging, 2019, vol. 11, n° 7, p. 2045-2070. doi: 10.18632/aging.101900 https://archive-ouverte.unige.ch/unige:151954

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Deposited on : 2021-05-28

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