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@ARTICLE{Fiorito:181641,
author = {G. Fiorito and S. Pedron and C. Ochoa-Rosales and C.
McCrory and S. Polidoro and Y. Zhang$^*$ and P.-A. Dugué
and S. Ratliff and W. N. Zhao and G. J. McKay and G. Costa
and M. G. Solinas and K. M. Harris and R. Tumino and S.
Grioni and F. Ricceri and S. Panico and H. Brenner$^*$ and
L. Schwettmann and M. Waldenberger and P. R. Matias-Garcia
and A. Peters and A. Hodge and G. G. Giles and L. L. Schmitz
and M. Levine and J. A. Smith and Y. Liu and F. Kee and I.
S. Young and B. McGuinness and A. J. McKnight and J. van
Meurs and T. Voortman and R. A. Kenny and P. Vineis and C.
Carmeli},
collaboration = {L. consortium},
title = {{T}he {R}ole of {E}pigenetic {C}locks in {E}xplaining
{E}ducational {I}nequalities in {M}ortality: {A}
{M}ulticohort {S}tudy and {M}eta-analysis.},
journal = {The journals of gerontology / A},
volume = {77},
number = {9},
issn = {1079-5006},
address = {Oxford [u.a.]},
publisher = {Oxford Univ. Pr.},
reportid = {DKFZ-2022-02135},
pages = {1750 - 1759},
year = {2022},
abstract = {Educational inequalities in all-cause mortality have been
observed for decades. However, the underlying biological
mechanisms are not well known. We aimed to assess the role
of DNA methylation changes in blood captured by epigenetic
clocks in explaining these inequalities. Data were from 8
prospective population-based cohort studies, representing 13
021 participants. First, educational inequalities and their
portion explained by Horvath DNAmAge, Hannum DNAmAge,
DNAmPhenoAge, and DNAmGrimAge epigenetic clocks were
assessed in each cohort via counterfactual-based mediation
models, on both absolute (hazard difference) and relative
(hazard ratio) scales, and by sex. Second, estimates from
each cohort were pooled through a random effect
meta-analysis model. Men with low education had excess
mortality from all causes of 57 deaths per 10 000
person-years $(95\%$ confidence interval [CI]: 38, 76)
compared with their more advantaged counterparts. For women,
the excess mortality was 4 deaths per 10 000 person-years
$(95\%$ CI: -11, 19). On the relative scale, educational
inequalities corresponded to hazard ratios of 1.33 $(95\%$
CI: 1.12, 1.57) for men and 1.15 $(95\%$ CI: 0.96, 1.37) for
women. DNAmGrimAge accounted for the largest proportion,
approximately $50\%,$ of the educational inequalities for
men, while the proportion was negligible for women. Most of
this mediation was explained by differential effects of
unhealthy lifestyles and morbidities of the World Health
Organization (WHO) risk factors for premature mortality.
These results support DNA methylation-based epigenetic aging
as a signature of educational inequalities in life
expectancy emphasizing the need for policies to address the
unequal social distribution of these WHO risk factors.},
keywords = {Educational Status / Epigenesis, Genetic / Epigenomics /
Female / Humans / Male / Mortality / Prospective Studies /
Risk Factors / Socioeconomic Factors / Biomarkers (Other) /
DNA methylation (Other) / Longevity (Other) / Social
inequalities (Other)},
cin = {C070},
ddc = {570},
cid = {I:(DE-He78)C070-20160331},
pnm = {313 - Krebsrisikofaktoren und Prävention (POF4-313)},
pid = {G:(DE-HGF)POF4-313},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:35172329},
doi = {10.1093/gerona/glac041},
url = {https://inrepo02.dkfz.de/record/181641},
}