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Journal article

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

  • Fiorito G Italian Institute for Genomic Medicine (IIGM), Turin, Italy.
  • McCrory C The Irish Longitudinal Study on Ageing, Trinity College Dublin, Dublin, Ireland.
  • Robinson O MRC-PHE Centre for Environment and Health, Imperial College London, London, UK.
  • Carmeli C Institute of Social and Preventive Medicine, Lausanne University Hospital (CHUV), Lausanne, Switzerland.
  • Rosales CO Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands.
  • Zhang Y Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Colicino E Icahn School of Medicine, Mount Sinai, New York, NY 10029, USA.
  • Dugué PA Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia.
  • Artaud F CESP, Faculté de Médecine - Université Paris-Sud, Faculté de Médecine, UVSQ, Institut National de la Santé et de la Recherche Médicale, -, Université Paris, Saclay, France.
  • McKay GJ Centre for Public Health, Queen's University Belfast, Belfast, Northern Ireland.
  • Jeong A Swiss Tropical and Public Health Institute, Basel, Switzerland.
  • Mishra PP Department of Clinical Chemistry, Fimlab Laboratories, and Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, 33520, Finland.
  • Nøst TH Department of Community Medicine, Faculty of Health Sciences, UiT-The Arctic University of Norway, Tromsø, Norway.
  • Krogh V Fondazione IRCCS - Istituto Nazionale dei Tumori, Milan, Italy.
  • Panico S Department of Clinical Medicine and Surgery, University of Naples Federico II, Naples, Italy.
  • Sacerdote C Piedmont Reference Centre for Epidemiology and Cancer Prevention (CPO Piemonte), Turin, Italy.
  • Tumino R Cancer Registry and Histopathology Department, 'Civic - M. P. Arezzo' Hospital, ASP Ragusa, Ragusa, Italy.
  • Palli D Istituto per lo Studio, la Prevenzione e la Rete Oncologica (ISPRO Toscana), Florence, Italy.
  • Matullo G Italian Institute for Genomic Medicine (IIGM), Turin, Italy.
  • Guarrera S Italian Institute for Genomic Medicine (IIGM), Turin, Italy.
  • Gandini M Environmental Epidemiological Unit, Regional Environmental Protection Agency, Piedmont Region, Torino, Italy.
  • Bochud M Institute of Social and Preventive Medicine, Lausanne University Hospital (CHUV), Lausanne, Switzerland.
  • Dermitzakis E Institute of Social and Preventive Medicine, Lausanne University Hospital (CHUV), Lausanne, Switzerland.
  • Muka T Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands.
  • Schwartz J Department of Environmental Health and Department of Epidemiology, Harvard T.H. School of Public Health, Boston, MA 02115, USA.
  • Vokonas PS Department of Epidemiology, Boston University School of Public Health, Boston, MA 02115, USA.
  • Just A Icahn School of Medicine, Mount Sinai, New York, NY 10029, USA.
  • Hodge AM Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia.
  • Giles GG Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia.
  • Southey MC Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia.
  • Hurme MA Department of Microbiology and Immunology, Faculty of Medicine and Health Technology, Tampere University, Tampere, 33014, Finland.
  • Young I Centre for Public Health, Queen's University Belfast, Belfast, Northern Ireland.
  • McKnight AJ Centre for Public Health, Queen's University Belfast, Belfast, Northern Ireland.
  • Kunze S Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.
  • Waldenberger M Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.
  • Peters A Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.
  • Schwettmann L Institute of Health Economics and Health Care Management, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, D-85764, Germany.
  • Lund E Department of Community Medicine, Faculty of Health Sciences, UiT-The Arctic University of Norway, Tromsø, Norway.
  • Baccarelli A Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY 10032, USA.
  • Milne RL Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia.
  • Kenny RA The Irish Longitudinal Study on Ageing, Trinity College Dublin, Dublin, Ireland.
  • Elbaz A CESP, Faculté de Médecine - Université Paris-Sud, Faculté de Médecine, UVSQ, Institut National de la Santé et de la Recherche Médicale, -, Université Paris, Saclay, France.
  • Brenner H Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Kee F Centre for Public Health, Queen's University Belfast, Belfast, Northern Ireland.
  • Voortman T Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands.
  • Probst-Hensch N Swiss Tropical and Public Health Institute, Basel, Switzerland.
  • Lehtimäki T Department of Clinical Chemistry, Fimlab Laboratories, and Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, 33520, Finland.
  • Elliot P MRC-PHE Centre for Environment and Health, Imperial College London, London, UK.
  • Stringhini S Institute of Social and Preventive Medicine, Lausanne University Hospital (CHUV), Lausanne, Switzerland.
  • Vineis P MRC-PHE Centre for Environment and Health, Imperial College London, London, UK.
  • Polidoro S Italian Institute for Genomic Medicine (IIGM), Turin, Italy.
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  • 2019-04-23
Published in:
  • Aging. - 2019
English 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.
Language
  • English
Open access status
green
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Persistent URL
https://sonar.ch/global/documents/9521
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