Evidence map›Paper›PMID 34227900›Full record

ArticleEpigenetics2022

The Socioeconomic Gradient in Epigenetic Ageing Clocks: Evidence from the Multi-Ethnic Study of Atherosclerosis and the Health and Retirement Study.

Lauren L Schmitz, Wei Zhao, Scott M Ratliff, Julia Goodwin, Jiacheng Miao, Qiongshi Lu, Xiuqing Guo, Kent D Taylor, Jingzhong Ding, Yongmei Liu and 2 more

Abstract read
In one paragraph

Article in Epigenetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
88citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

88 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. The Role of Epigenetic Clocks in Explaining Educational Inequalities in Mortality: A Multicohort Study and Meta-analysis.The journals of gerontology. Series A, Biological sciences and medical sciences · 2022
    Pooled it
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  19. Impact of socioeconomic conditions across the life course on epigenetic age acceleration: evidence from a longitudinal cohort.The journals of gerontology. Series A, Biological sciences and medical sciences · 2025
    Article
  20. Article

28 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Lauren L SchmitzRobert M. La Follette School of Public Affairs, University of Wisconsin-Madison, USA.ORCID 0000-0002-1641-289X
Wei ZhaoDepartment of Epidemiology, School of Public Health, University of Michigan, USA.ORCID 0000-0001-7388-0692
Scott M RatliffDepartment of Epidemiology, School of Public Health, University of Michigan, USA.
Julia GoodwinDepartment of Sociology, University of Wisconsin-Madison, USA.
Jiacheng MiaoDepartment of Biostatistics and Medical Informatics, University of Wisconsin-Madison, USA.
Qiongshi LuDepartment of Biostatistics and Medical Informatics, University of Wisconsin-Madison, USA.
Xiuqing GuoThe Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, USA.
Kent D TaylorThe Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, USA.
Jingzhong DingGerontology and Geriatric Medicine, School of Medicine, Wake Forest University, USA.
Yongmei LiuDepartment of Medicine, School of Medicine, Duke University, USA.
Morgan LevineDepartment of Pathology, School of Medicine, Yale University, USA.
Jennifer A SmithDepartment of Epidemiology, School of Public Health, University of Michigan, USA.ORCID 0000-0002-3575-5468

Funding

HRS Yrs29-34: Y33 SSA CoFundingU01AG009740 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Jessica Faul, KENNETH M LANGA · 1990 to 2026
$555.8M
UCLA Clinical Translational Science InstituteUL1TR001881 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ARLEEN F. BROWN, ARASH NAEIM · 2016 to 2026
$118.1M
Institute for Clinical and Translational ResearchUL1TR001079 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2013 to 2017
$60.1M
Transgenic & Knock-out MouseP30DK063491 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PETER J TONTONOZ · 2003 to 2026
$40.4M
Wake Forest Clinical and Translational Science AwardUL1TR001420 · NCATS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI ARD, JAMY D, FOLEY, KRISTIE L · 2015 to 2023
$32.3M
Clinical and Translational Science AwardUL1TR000040 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GINSBERG, HENRY N · 2012 to 2015
$26.2M
Statistical Data EnclaveP30AG012846 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Esther M. Friedman · 1999 to 2026
$23.2M
USC/UCLA Center on Biodemography &Population HealthP30AG017265 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI JENNIFER A AILSHIRE · 1999 to 2026
$17.9M
Statistical Data Enclave CoreP30AG017266 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI Michal Engelman · 1999 to 2026
$17.0M
THE GLOBAL BURDEN OF DISEASE 2000 IN AGING POPULATIONSP01AG017625 · NIA · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI MURRAY, CHRISTOPHER J.L. · 2000 to 2004
$9.4M
A Longitudinal Epigenetic Study of AtherosclerosisR01HL135009 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI LIU, YONGMEI · 2017 to 2020
$5.8M
Neighborhoods and CVD Risk in a Multiethnic Cohort (RMI)R01HL071759 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DIEZ ROUX, ANA VICTORIA · 2003 to 2013
$4.8M
NCATS NIH HHS UL1 TR000040NCATS NIH HHS UL1 TR001079NCATS NIH HHS UL1 TR001420NCATS NIH HHS UL1 TR001881NHLBI NIH HHS HHSN268201500003CNHLBI NIH HHS HHSN268201500003INHLBI NIH HHS N01 HC095159NHLBI NIH HHS N01 HC095160NHLBI NIH HHS N01 HC095161NHLBI NIH HHS N01 HC095162NHLBI NIH HHS N01 HC095163NHLBI NIH HHS N01 HC095164NHLBI NIH HHS N01 HC095165NHLBI NIH HHS N01 HC095166NHLBI NIH HHS N01 HC095167NHLBI NIH HHS N01 HC095168NHLBI NIH HHS N01 HC095169NHLBI NIH HHS N02 HL064278NHLBI NIH HHS R01 HL071759NHLBI NIH HHS R01 HL101250NHLBI NIH HHS R01 HL119962NHLBI NIH HHS R01 HL135009NHLBI NIH HHS R01 HL141292NIA NIH HHS K99 AG056599NIA NIH HHS P01 AG017625NIA NIH HHS P30 AG012846NIA NIH HHS P30 AG017265NIA NIH HHS P30 AG017266NIA NIH HHS R00 AG056599NIA NIH HHS R21 AG045625NIA NIH HHS RF1 AG054474NIA NIH HHS U01 AG009740NIDDK NIH HHS P30 DK063491NIDDK NIH HHS R01 DK101921
6 · The paper itself

Abstract

Epigenetic clocks have been widely used to predict disease risk in multiple tissues or cells. Their success as a measure of biological ageing has prompted research on the connection between epigenetic pathways of ageing and the socioeconomic gradient in health and mortality. However, studies examining social correlates of epigenetic ageing have yielded inconsistent results. We conducted a comprehensive, comparative analysis of associations between various dimensions of socioeconomic status (SES) (education, income, wealth, occupation, neighbourhood environment, and childhood SES) and eight epigenetic clocks in two well-powered US ageing studies: The Multi-Ethnic Study of Atherosclerosis (MESA) (n = 1,211) and the Health and Retirement Study (HRS) (n = 4,018). In both studies, we found robust associations between SES measures in adulthood and the GrimAge and DunedinPoAm clocks (Bonferroni-corrected

Indexed as

AtherosclerosisRetirementAdultAgedAgingChildDNA MethylationEpigenesis, GeneticHumansSocial ClassDNA methylation ageepigenetic clockpolygenic scoresocioeconomic status

Identifiers

PMID34227900
PMCPMC9235889

What OpenQuestion holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.