Association between the timing of childhood adversity and epigenetic patterns across childhood and adolescence: findings from the Avon Longitudinal Study of Parents and Children (ALSPAC) prospective cohort.

Male Adult Female Child Humans Adolescent Infant, Newborn Infant Child, Preschool Longitudinal Studies Prospective Studies Adverse Childhood Experiences Canada Parents Epigenesis, Genetic

Journal

The Lancet. Child & adolescent health
ISSN: 2352-4650
Titre abrégé: Lancet Child Adolesc Health
Pays: England
ID NLM: 101712925

Informations de publication

Date de publication:
08 2023
Historique:
received: 17 10 2022
revised: 14 04 2023
accepted: 24 04 2023
pmc-release: 01 08 2024
medline: 24 7 2023
pubmed: 17 6 2023
entrez: 16 6 2023
Statut: ppublish

Résumé

Childhood adversity is a potent determinant of health across development and is associated with altered DNA methylation signatures, which might be more common in children exposed during sensitive periods in development. However, it remains unclear whether adversity has persistent epigenetic associations across childhood and adolescence. We aimed to examine the relationship between time-varying adversity (defined through sensitive period, accumulation of risk, and recency life course hypotheses) and genome-wide DNA methylation, measured three times from birth to adolescence, using data from a prospective, longitudinal cohort study. We first investigated the relationship between the timing of exposure to childhood adversity between birth and 11 years and blood DNA methylation at age 15 years in the Avon Longitudinal Study of Parents and Children (ALSPAC) prospective cohort study. Our analytic sample included ALSPAC participants with DNA methylation data and complete childhood adversity data between birth and 11 years. We analysed seven types of adversity (caregiver physical or emotional abuse, sexual or physical abuse [by anyone], maternal psychopathology, one-adult households, family instability, financial hardship, and neighbourhood disadvantage) reported by mothers five to eight times between birth and 11 years. We used the structured life course modelling approach (SLCMA) to identify time-varying associations between childhood adversity and adolescent DNA methylation. Top loci were identified using an R Of 13 988 children in the ALSPAC cohort, 609-665 children (311-337 [50-51%] boys and 298-332 [49-50%] girls) had complete data available for at least one of the seven childhood adversities and DNA methylation at 15 years. Exposure to adversity was associated with differences in DNA methylation at 15 years for 41 loci (R These findings highlight the time-varying effect of childhood adversity on DNA methylation profiles across development, which might link exposure to adversity to potential adverse health outcomes in children and adolescents. If replicated, these epigenetic signatures could ultimately serve as biological indicators or early warning signs of initiated disease processes, helping identify people at greater risk for the adverse health consequences of childhood adversity. Canadian Institutes of Health Research, Cohort and Longitudinal Studies Enhancement Resources, EU's Horizon 2020, US National Institute of Mental Health.

Sections du résumé

BACKGROUND
Childhood adversity is a potent determinant of health across development and is associated with altered DNA methylation signatures, which might be more common in children exposed during sensitive periods in development. However, it remains unclear whether adversity has persistent epigenetic associations across childhood and adolescence. We aimed to examine the relationship between time-varying adversity (defined through sensitive period, accumulation of risk, and recency life course hypotheses) and genome-wide DNA methylation, measured three times from birth to adolescence, using data from a prospective, longitudinal cohort study.
METHODS
We first investigated the relationship between the timing of exposure to childhood adversity between birth and 11 years and blood DNA methylation at age 15 years in the Avon Longitudinal Study of Parents and Children (ALSPAC) prospective cohort study. Our analytic sample included ALSPAC participants with DNA methylation data and complete childhood adversity data between birth and 11 years. We analysed seven types of adversity (caregiver physical or emotional abuse, sexual or physical abuse [by anyone], maternal psychopathology, one-adult households, family instability, financial hardship, and neighbourhood disadvantage) reported by mothers five to eight times between birth and 11 years. We used the structured life course modelling approach (SLCMA) to identify time-varying associations between childhood adversity and adolescent DNA methylation. Top loci were identified using an R
FINDINGS
Of 13 988 children in the ALSPAC cohort, 609-665 children (311-337 [50-51%] boys and 298-332 [49-50%] girls) had complete data available for at least one of the seven childhood adversities and DNA methylation at 15 years. Exposure to adversity was associated with differences in DNA methylation at 15 years for 41 loci (R
INTERPRETATION
These findings highlight the time-varying effect of childhood adversity on DNA methylation profiles across development, which might link exposure to adversity to potential adverse health outcomes in children and adolescents. If replicated, these epigenetic signatures could ultimately serve as biological indicators or early warning signs of initiated disease processes, helping identify people at greater risk for the adverse health consequences of childhood adversity.
FUNDING
Canadian Institutes of Health Research, Cohort and Longitudinal Studies Enhancement Resources, EU's Horizon 2020, US National Institute of Mental Health.

Identifiants

DOI: 10.1016/S2352-4642(23)00127-X PMID: 37327798 PMC: PMC10527482
pubmed: 37327798
pii: S2352-4642(23)00127-X
doi: 10.1016/S2352-4642(23)00127-X
pmc: PMC10527482
mid: NIHMS1910811
pii:
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

532-543

Subventions

Organisme : Wellcome Trust
ID : 217065/Z/19/Z
Pays : United Kingdom
Organisme : NICHD NIH HHS
ID : R01 HD039135
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH130442
Pays : United States
Organisme : NIMHD NIH HHS
ID : R01 MD011716
Pays : United States
Organisme : NICHD NIH HHS
ID : R01 HD068437
Pays : United States
Organisme : Biotechnology and Biological Sciences Research Council
ID : BBI025751/1
Pays : United Kingdom
Organisme : NICHD NIH HHS
ID : R01 HD036916
Pays : United States
Organisme : NIAID NIH HHS
ID : R01 AI121226
Pays : United States
Organisme : NICHD NIH HHS
ID : R01 HD076592
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH103761
Pays : United States
Organisme : Wellcome Trust
Pays : United Kingdom
Organisme : NIMH NIH HHS
ID : R01 MH113930
Pays : United States
Organisme : Biotechnology and Biological Sciences Research Council
ID : BB/I025263/1
Pays : United Kingdom
Organisme : NHLBI NIH HHS
ID : R01 HL149869
Pays : United States
Organisme : Medical Research Council
ID : MC_UU_00011/5
Pays : United Kingdom
Organisme : NICHD NIH HHS
ID : R01 HD040421
Pays : United States

Commentaires et corrections

Type : CommentIn

Informations de copyright

Copyright © 2023 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of interests We declare no competing interests.

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Auteurs

Alexandre A Lussier (AA)

Psychiatric and Neurodevelopmental Genetics Unit, Centre for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Department of Psychiatry, Harvard Medical School, Harvard University, Boston, MA, USA; Stanley Center for Psychiatric Research, The Broad Institute of Harvard and Massachusetts Institute of Technology, Cambridge, MA, USA. Electronic address: alussier@mgh.harvard.edu.

Yiwen Zhu (Y)

Psychiatric and Neurodevelopmental Genetics Unit, Centre for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Department of Epidemiology, Harvard T H Chan School of Public Health, Harvard University, Boston, MA, USA.

Brooke J Smith (BJ)

Psychiatric and Neurodevelopmental Genetics Unit, Centre for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.

Janine Cerutti (J)

Psychiatric and Neurodevelopmental Genetics Unit, Centre for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.

Jonah Fisher (J)

Institute for Social Research, University of Michigan, Ann Abor, MI, USA.

Phillip E Melton (PE)

School of Population and Global Health, University of Western Australia, Crawley, WA, Australia; Menzies Research Institute, University of Tasmania, Hobart, TAS, Australia.

Natasha M Wood (NM)

College of Education, Psychology, and Social Work, Flinders University, Adelaide, SA, Australia.

Sarah Cohen-Woods (S)

College of Education, Psychology, and Social Work, Flinders University, Adelaide, SA, Australia; Flinders Institute for Mental Health and Wellbeing, Flinders University, Adelaide, SA, Australia; Flinders Centre for Innovation in Cancer, College of Medicine and Public Health, Flinders University, Adelaide, SA, Australia.

Rae-Chi Huang (RC)

Nutrition Health Innovation Research Institute, Edith Cowan University, Perth, WA, Australia.

Colter Mitchell (C)

Institute for Social Research, University of Michigan, Ann Abor, MI, USA.

Lisa Schneper (L)

Department of Molecular Biology, Princeton University, Princeton, NJ, USA.

Daniel A Notterman (DA)

Department of Molecular Biology, Princeton University, Princeton, NJ, USA.

Andrew J Simpkin (AJ)

School of Mathematical and Statistical Sciences, University of Galway, Galway, Ireland.

Andrew D A C Smith (ADAC)

Mathematics and Statistics Research Group, University of the West of England, Bristol, UK.

Matthew J Suderman (MJ)

Medical Research Council Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.

Esther Walton (E)

Department of Psychology, University of Bath, Bath, UK.

Caroline L Relton (CL)

Medical Research Council Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.

Kerry J Ressler (KJ)

Department of Psychiatry, Harvard Medical School, Harvard University, Boston, MA, USA; Department of Psychiatry, McLean Hospital, Belmont, MA, USA.

Erin C Dunn (EC)

Psychiatric and Neurodevelopmental Genetics Unit, Centre for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Department of Psychiatry, Harvard Medical School, Harvard University, Boston, MA, USA; Center on the Developing Child, Harvard University, Boston, MA, USA; Stanley Center for Psychiatric Research, The Broad Institute of Harvard and Massachusetts Institute of Technology, Cambridge, MA, USA. Electronic address: edunn2@mgh.harvard.edu.

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Classifications MeSH

questionsmedicales.fr › Personnes › Tranches d'âge › Adulte › Association between the timing of childhood...
questionsmedicales.fr › Personnes › Tranches d'âge › Enfant › Association between the timing of childhood...
questionsmedicales.fr › Eucaryotes › Animaux › Chordés › Vertébrés › Mammifères › Eutheria › Primates › Haplorhini › Catarrhini › Hominidae › Humains › Association between the timing of childhood...
questionsmedicales.fr › Personnes › Tranches d'âge › Adolescent › Association between the timing of childhood...
questionsmedicales.fr › Personnes › Tranches d'âge › Nourrisson › Nouveau-né › Association between the timing of childhood...
questionsmedicales.fr › Personnes › Tranches d'âge › Nourrisson › Association between the timing of childhood...
questionsmedicales.fr › Personnes › Tranches d'âge › Enfant › Enfant d'âge préscolaire › Association between the timing of childhood...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Caractéristiques des études épidémiologiques › Études épidémiologiques › Études de cohortes › Études longitudinales › Association between the timing of childhood...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Caractéristiques des études épidémiologiques › Études épidémiologiques › Études de cohortes › Études prospectives › Association between the timing of childhood...
questionsmedicales.fr › Sciences sociales › Sociologie › Facteurs sociologiques › Expériences défavorables de l'enfance › Association between the timing of childhood...
questionsmedicales.fr › Régions géographiques › Amériques › Amérique du Nord › Canada › Association between the timing of childhood...
questionsmedicales.fr › Personnes › Parents › Association between the timing of childhood...
questionsmedicales.fr › Phénomènes génétiques › Régulation de l'expression des gènes › Épigenèse génétique › Association between the timing of childhood...