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@article{Fiorito:2019:10.18632/aging.101900,
author = {Fiorito, G and McCrory, C and Robinson, O and Carmeli, C and Rosales, CO and Zhang, Y and Colicino, E and Dugué, P-A and Artaud, F and McKay, GJ and Jeong, A and Mishra, PP and Nøst, TH and Krogh, V and Panico, S and Sacerdote, C and Tumino, R and Palli, D and Matullo, G and Guarrera, S and Gandini, M and Bochud, M and Dermitzakis, E and Muka, T and Schwartz, J and Vokonas, PS and Just, A and Hodge, AM and Giles, GG and Southey, MC and Hurme, MA and Young, I and McKnight, AJ and Kunze, S and Waldenberger, M and Peters, A and Schwettmann, L and Lund, E and Baccarelli, A and Milne, RL and Kenny, RA and Elbaz, A and Brenner, H and Kee, F and Voortman, T and Probst-Hensch, N and Lehtimäki, T and Elliot, P and Stringhini, S and Vineis, P and Polidoro, S and BIOS, Consortium and Lifepath, consortium},
doi = {10.18632/aging.101900},
journal = {Aging},
pages = {2045--2070},
title = {Socioeconomic position, lifestyle habits and biomarkers of epigenetic aging: a multi-cohort analysis},
url = {http://dx.doi.org/10.18632/aging.101900},
volume = {11},
year = {2019}
}

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TY  - JOUR
AB  - 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)  hasbeen  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 themagnitude of the effectsdiffereddepending 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 ofsmoking, which hada 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.
AU  - Fiorito,G
AU  - McCrory,C
AU  - Robinson,O
AU  - Carmeli,C
AU  - Rosales,CO
AU  - Zhang,Y
AU  - Colicino,E
AU  - Dugué,P-A
AU  - Artaud,F
AU  - McKay,GJ
AU  - Jeong,A
AU  - Mishra,PP
AU  - Nøst,TH
AU  - Krogh,V
AU  - Panico,S
AU  - Sacerdote,C
AU  - Tumino,R
AU  - Palli,D
AU  - Matullo,G
AU  - Guarrera,S
AU  - Gandini,M
AU  - Bochud,M
AU  - Dermitzakis,E
AU  - Muka,T
AU  - Schwartz,J
AU  - Vokonas,PS
AU  - Just,A
AU  - Hodge,AM
AU  - Giles,GG
AU  - Southey,MC
AU  - Hurme,MA
AU  - Young,I
AU  - McKnight,AJ
AU  - Kunze,S
AU  - Waldenberger,M
AU  - Peters,A
AU  - Schwettmann,L
AU  - Lund,E
AU  - Baccarelli,A
AU  - Milne,RL
AU  - Kenny,RA
AU  - Elbaz,A
AU  - Brenner,H
AU  - Kee,F
AU  - Voortman,T
AU  - Probst-Hensch,N
AU  - Lehtimäki,T
AU  - Elliot,P
AU  - Stringhini,S
AU  - Vineis,P
AU  - Polidoro,S
AU  - BIOS,Consortium
AU  - Lifepath,consortium
DO  - 10.18632/aging.101900
EP  - 2070
PY  - 2019///
SN  - 1945-4589
SP  - 2045
TI  - Socioeconomic position, lifestyle habits and biomarkers of epigenetic aging: a multi-cohort analysis
T2  - Aging
UR  - http://dx.doi.org/10.18632/aging.101900
UR  - http://hdl.handle.net/10044/1/68048
VL  - 11
ER  -

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