Socioeconomic position, lifestyle habits and biomarkers of epigenetic aging: A multi-cohort analysis
- Fiorito G.
- McCrory C.
- Robinson O.
- Carmeli C.
- Rosales C. O.
- Zhang Y.
- Colicino E.
- Dugue P. -A.
- Artaud F.
- McKay G. J.
- Jeong A.
- Mishra P. P.
- Nost T. H.
- Krogh V.
- Panico S.
- Sacerdote C.
- Tumino R.
- Palli D.
- Matullo G.
- Guarrera S.
- Gandini M.
- Bochud M.
- Dermitzakis E.
- Muka T.
- Schwartz J.
- Vokonas P. S.
- Just A.
- Hodge A. M.
- Giles G. G.
- Southey M. C.
- Hurme M. A.
- Young I.
- McKnight A. J.
- Kunze S.
- Waldenberger M.
- Peters A.
- Schwettmann L.
- Lund E.
- Baccarelli A.
- Milne R. L.
- Kenny R. A.
- Elbaz A.
- Brenner H.
- Kee F.
- Voortman T.
- Probst-Hensch N.
- Lehtimaki T.
- Elliot P.
- Stringhini S.
- Vineis P.
- Polidoro S.
- Alberts J.
- Alenius H.
- Avendano M.
- Baltar V.
- Bartley M.
- Barros H.
- Bellone M.
- Berger E.
- Blane D.
- Candiani G.
- Carra L.
- Castagne R.
- Chadeau-Hyam M.
- Cima S.
- Clavel-Chapelon F.
- Costa G.
- Courtin E.
- Delpierre C.
- D'Errico A.
- Dermitzakis M.
- Elovainio M.
- Elliott P.
- Fagherazzi G.
- Fraga S.
- Gares V.
- Gerbouin-Rerolle P.
- Giles G.
- Goldberg M.
- Greco D.
- Guessous I.
- Haba-Rubio J.
- Heinzer R.
- Hodge A.
- Joost S.
- Karimi M.
- Kelly-Irving M.
- Kahonen M.
- Karisola P.
- Khenissi L.
- Kivimaki M.
- Laine J.
- Lang T.
- Laurent A.
- Layte R.
- Lepage B.
- Lorsch D.
- MacGuire F.
- Machell G.
- Mackenbach J.
- Marmot M.
- de Mestral C.
- Miller C.
- Milne R.
- Muennig P.
- Nusselder W.
- Petrovic D.
- Pilapil L.
- Preisig M.
- Pulkki-Raback L.
- Raitakari O.
- Ribeiro A. I.
- Ricceri F.
- Recalcati P.
- Reinhard E.
- Valverde J. R.
- Saba S.
- Santegoets F.
- Satolli R.
- Simmons T.
- Severi G.
- Shipley M. J.
- Tabak A.
- Terhi V.
- Tieulent J.
- Vaccarella S.
- Vigna-Taglianti F.
- Vollenweider P.
- Vuilleumier N.
- Zins M.
DOIAbstract
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 wit...
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