Evidence map›Paper›PMID 30905381›Full record

ArticleBiological psychiatry2019

Sensitive Periods for the Effect of Childhood Adversity on DNA Methylation: Results From a Prospective, Longitudinal Study.

Erin C Dunn, Thomas W Soare, Yiwen Zhu, Andrew J Simpkin, Matthew J Suderman, Torsten Klengel, Andrew D A C Smith, Kerry J Ressler, Caroline L Relton

Erratum issuedOpen access · greenAbstract read
In one paragraph

Article in Biological psychiatry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 155 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
155citing papers in PubMed, 7 pooled it
15.3field-weighted citation impact, top 1% of its field
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

155 citing papers in PubMed, 7 syntheses or guidelines pooled it, 312 citations in OpenAlex.

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  10. Childhood Adversities and the ATTACHInternational journal of environmental research and public health · 2024
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95 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 5 institutions in 3 countries.

Erin C DunnCenter for Genomic Medicine, Massachusetts General Hospital, Boston, Massachusetts; Department of Psychiatry, Harvard Medical School, Boston, Massachusetts; Stanley Center for Psychiatric Research, The Broad Institute of Harvard University and Massachusetts Institute of Technology, Cambridge, Massachusetts. Electronic address: edunn@mgh.harvard.edu.
Thomas W SoareCenter for Genomic Medicine, Massachusetts General Hospital, Boston, Massachusetts; Department of Psychiatry, Harvard Medical School, Boston, Massachusetts; Stanley Center for Psychiatric Research, The Broad Institute of Harvard University and Massachusetts Institute of Technology, Cambridge, Massachusetts.
Yiwen ZhuCenter for Genomic Medicine, Massachusetts General Hospital, Boston, Massachusetts.
Andrew J SimpkinMedical Research Council Integrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom.
Matthew J SudermanMedical Research Council Integrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom.
Torsten KlengelDepartment of Psychiatry, Harvard Medical School, Boston, Massachusetts; Department of Psychiatry, McLean Hospital, Harvard Medical School, Belmont, Massachusetts; Department of Psychiatry and Psychotherapy, University Medical Center Gottingen, Germany.
Andrew D A C SmithApplied Statistics Group, University of the West of England, Bristol, United Kingdom.
Kerry J ResslerDepartment of Psychiatry, Harvard Medical School, Boston, Massachusetts; Department of Psychiatry, McLean Hospital, Harvard Medical School, Belmont, Massachusetts.
Caroline L ReltonMedical Research Council Integrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom; Institute of Genetic Medicine, University of Newcastle, Newcastle upon Tyne, United Kingdom.
University of Bristol · GBBroad Institute · USHarvard University · USMassachusetts General Hospital · USUniversity of the West of England · GB

Funding

Harvard Clinical and Translational Science CenterUL1TR001102 · NCATS · HARVARD MEDICAL SCHOOL · PI NADLER, LEE MARSHALL · 2013 to 2017
$106.2M
Childhood adversity, DNA methylation, and risk for depression: A longitudinal study of sensitive periods in developmentR01MH113930 · NIMH · PURDUE UNIVERSITY · PI Erin Cathleen Dunn · 2017 to 2026
$6.6M
Genes, early adversity, and sensitive periods in social-emotional developmentK01MH102403 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI DUNN, ERIN CATHLEEN · 2014 to 2017
$710k
Biotechnology and Biological Sciences Research Council BB/I025263/1Biotechnology and Biological Sciences Research Council BBI025751/1Medical Research Council G9815508Medical Research Council MC_PC_15018Medical Research Council MC_PC_19009Medical Research Council MC_UU_00011/5Medical Research Council MC_UU_12013/2Medical Research Council MC_UU_12013/8NCATS NIH HHS UL1 TR001102NIMH NIH HHS K01 MH102403NIMH NIH HHS R01 MH113930Wellcome TrustWellcome Trust 102215/2/13/2
6 · The paper itself

Abstract

backgroundExposure to early-life adversity is known to predict DNA methylation (DNAm) patterns that may be related to psychiatric risk. However, few studies have investigated whether adversity has time-dependent effects based on the age at exposure.

methodsUsing a two-stage structured life course modeling approach, we tested the hypothesis that there are sensitive periods when adversity induces greater DNAm changes. We tested this hypothesis in relation to two alternatives: an accumulation hypothesis, in which the effect of adversity increases with the number of occasions exposed, regardless of timing; and a recency model, in which the effect of adversity is stronger for more proximal events. Data came from the Accessible Resource for Integrated Epigenomic Studies, a subsample of mother-child pairs from the Avon Longitudinal Study of Parents and Children (n = 691-774).

resultsAfter covariate adjustment and multiple testing correction, we identified 38 CpG sites that were differentially methylated at 7 years of age following exposure to adversity. Most loci (n = 35) were predicted by the timing of adversity, namely exposures before 3 years of age. Neither the accumulation nor recency of the adversity explained considerable variability in DNAm. A standard epigenome-wide association study of lifetime exposure (vs. no exposure) failed to detect these associations.

conclusionsThe developmental timing of adversity explains more variability in DNAm than the accumulation or recency of exposure. Very early childhood appears to be a sensitive period when exposure to adversity predicts differential DNAm patterns. Classification of individuals as exposed versus unexposed to early-life adversity may dilute observed effects.

Indexed as

Adverse Childhood ExperiencesChildChild, PreschoolCpG IslandsDNA MethylationEpigenesis, GeneticEpigenomeFemaleHumansInfantLongitudinal StudiesMaleParent-Child RelationsProspective StudiesTime FactorsChildhood adversityChildrenDNA methylationEpigeneticsLongitudinalSensitive periods

Identifiers

PMID30905381
PMCPMC6552666
OpenAlexW2950440677

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Registered trials

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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.