The University of Southampton
University of Southampton Institutional Repository

The early care environment and DNA methylome variation in childhood

The early care environment and DNA methylome variation in childhood
The early care environment and DNA methylome variation in childhood

Prenatal adversity shapes child neurodevelopment and risk for later mental health problems. The quality of the early care environment can buffer some of the negative effects of prenatal adversity on child development. Retrospective studies, in adult samples, highlight epigenetic modifications as sentinel markers of the quality of the early care environment; however, comparable data from pediatric cohorts are lacking. Participants were drawn from the Maternal Adversity Vulnerability and Neurodevelopment (MAVAN) study, a longitudinal cohort with measures of infant attachment, infant development, and child mental health. Children provided buccal epithelial samples (mean age = 6.99, SD = 1.33 years, n = 226), which were used for analyses of genome-wide DNA methylation and genetic variation. We used a series of linear models to describe the association between infant attachment and (a) measures of child outcome and (b) DNA methylation across the genome. Paired genetic data was used to determine the genetic contribution to DNA methylation at attachment-associated sites. Infant attachment style was associated with infant cognitive development (Mental Development Index) and behavior (Behavior Rating Scale) assessed with the Bayley Scales of Infant Development at 36 months. Infant attachment style moderated the effects of prenatal adversity on Behavior Rating Scale scores at 36 months. Infant attachment was also significantly associated with a principal component that accounted for 11.9% of the variation in genome-wide DNA methylation. These effects were most apparent when comparing children with a secure versus a disorganized attachment style and most pronounced in females. The availability of paired genetic data revealed that DNA methylation at approximately half of all infant attachment-associated sites was best explained by considering both infant attachment and child genetic variation. This study provides further evidence that infant attachment can buffer some of the negative effects of early adversity on measures of infant behavior. We also highlight the interplay between infant attachment and child genotype in shaping variation in DNA methylation. Such findings provide preliminary evidence for a molecular signature of infant attachment and may help inform attachment-focused early intervention programs.

0954-5794
891-903
Garg, Elika
7803967a-0307-42a3-84bd-e087c3bb2995
Chen, Li
fce2798c-42e7-470c-84bd-eae5a2c162d3
Nguyen, Thao T.T.
e062dd70-1bb9-48c9-960f-33b34de3aef5
Pokhvisneva, Irina
58960728-d6fe-40cd-9c87-454bef8b062d
Chen, Lawrence M.
b137ee74-9c1e-4df1-bdb9-0a6345d60224
Unternaehrer, Eva
bbd2aa71-29c8-4c26-a092-ffcdd72be43c
MacIsaac, Julia L.
4e74f97f-0016-4bfd-9154-25fa22e2a4b6
McEwen, Lisa M.
2282d9cd-22f9-4ed5-9020-15691d677e65
Mah, Sarah M.
c2e42794-1102-4b9c-99f3-fab395cb34c4
Gaudreau, Helene
0c4d9363-c1d3-4d78-9df8-b6801db29ed3
Levitan, Robert
4d47c2b1-f802-4a93-9bbc-a15c92167add
Moss, Ellen
92b08488-2827-4842-9c5b-3a72747ac985
Sokolowski, Marla B.
7d03ff72-94ff-4f12-8d98-9e522fcc6900
Kennedy, James L.
97656ce2-31de-4e11-a6a8-cb1a3573fe79
Steiner, Meir S.
863767f8-f45a-4b98-8c02-31ba3d0669b3
Meaney, Michael J.
5c6db45a-1f5b-4e1f-8c0b-07a8f7b29f66
Holbrook, Joanna D.
69989b79-2710-4f12-946e-c6214e1b6513
Silveira, Patricia P.
e54e42fd-3a08-4c84-8430-28b5852b8155
Karnani, Neerja
f4d4879d-3be1-4d6d-8d37-48af1035a4cf
Kobor, Michael S.
e387ab6f-d060-4d39-95c6-acf0c3b9687b
O'Donnell, Kieran J.
a1d6bb75-18bb-45c3-933c-a6704e89b023
Mavan Study Team
Garg, Elika
7803967a-0307-42a3-84bd-e087c3bb2995
Chen, Li
fce2798c-42e7-470c-84bd-eae5a2c162d3
Nguyen, Thao T.T.
e062dd70-1bb9-48c9-960f-33b34de3aef5
Pokhvisneva, Irina
58960728-d6fe-40cd-9c87-454bef8b062d
Chen, Lawrence M.
b137ee74-9c1e-4df1-bdb9-0a6345d60224
Unternaehrer, Eva
bbd2aa71-29c8-4c26-a092-ffcdd72be43c
MacIsaac, Julia L.
4e74f97f-0016-4bfd-9154-25fa22e2a4b6
McEwen, Lisa M.
2282d9cd-22f9-4ed5-9020-15691d677e65
Mah, Sarah M.
c2e42794-1102-4b9c-99f3-fab395cb34c4
Gaudreau, Helene
0c4d9363-c1d3-4d78-9df8-b6801db29ed3
Levitan, Robert
4d47c2b1-f802-4a93-9bbc-a15c92167add
Moss, Ellen
92b08488-2827-4842-9c5b-3a72747ac985
Sokolowski, Marla B.
7d03ff72-94ff-4f12-8d98-9e522fcc6900
Kennedy, James L.
97656ce2-31de-4e11-a6a8-cb1a3573fe79
Steiner, Meir S.
863767f8-f45a-4b98-8c02-31ba3d0669b3
Meaney, Michael J.
5c6db45a-1f5b-4e1f-8c0b-07a8f7b29f66
Holbrook, Joanna D.
69989b79-2710-4f12-946e-c6214e1b6513
Silveira, Patricia P.
e54e42fd-3a08-4c84-8430-28b5852b8155
Karnani, Neerja
f4d4879d-3be1-4d6d-8d37-48af1035a4cf
Kobor, Michael S.
e387ab6f-d060-4d39-95c6-acf0c3b9687b
O'Donnell, Kieran J.
a1d6bb75-18bb-45c3-933c-a6704e89b023

Garg, Elika, Chen, Li, Nguyen, Thao T.T., Pokhvisneva, Irina, Chen, Lawrence M., Unternaehrer, Eva, MacIsaac, Julia L., McEwen, Lisa M., Mah, Sarah M., Gaudreau, Helene, Levitan, Robert, Moss, Ellen, Sokolowski, Marla B., Kennedy, James L., Steiner, Meir S., Meaney, Michael J., Holbrook, Joanna D., Silveira, Patricia P., Karnani, Neerja, Kobor, Michael S. and O'Donnell, Kieran J. , Mavan Study Team (2018) The early care environment and DNA methylome variation in childhood. Development and Psychopathology, 30 (Special Issue 3), 891-903. (doi:10.1017/S0954579418000627).

Record type: Article

Abstract

Prenatal adversity shapes child neurodevelopment and risk for later mental health problems. The quality of the early care environment can buffer some of the negative effects of prenatal adversity on child development. Retrospective studies, in adult samples, highlight epigenetic modifications as sentinel markers of the quality of the early care environment; however, comparable data from pediatric cohorts are lacking. Participants were drawn from the Maternal Adversity Vulnerability and Neurodevelopment (MAVAN) study, a longitudinal cohort with measures of infant attachment, infant development, and child mental health. Children provided buccal epithelial samples (mean age = 6.99, SD = 1.33 years, n = 226), which were used for analyses of genome-wide DNA methylation and genetic variation. We used a series of linear models to describe the association between infant attachment and (a) measures of child outcome and (b) DNA methylation across the genome. Paired genetic data was used to determine the genetic contribution to DNA methylation at attachment-associated sites. Infant attachment style was associated with infant cognitive development (Mental Development Index) and behavior (Behavior Rating Scale) assessed with the Bayley Scales of Infant Development at 36 months. Infant attachment style moderated the effects of prenatal adversity on Behavior Rating Scale scores at 36 months. Infant attachment was also significantly associated with a principal component that accounted for 11.9% of the variation in genome-wide DNA methylation. These effects were most apparent when comparing children with a secure versus a disorganized attachment style and most pronounced in females. The availability of paired genetic data revealed that DNA methylation at approximately half of all infant attachment-associated sites was best explained by considering both infant attachment and child genetic variation. This study provides further evidence that infant attachment can buffer some of the negative effects of early adversity on measures of infant behavior. We also highlight the interplay between infant attachment and child genotype in shaping variation in DNA methylation. Such findings provide preliminary evidence for a molecular signature of infant attachment and may help inform attachment-focused early intervention programs.

This record has no associated files available for download.

More information

e-pub ahead of print date: 1 August 2018
Published date: August 2018
Additional Information: Special Issue 3 (Developmental Origins of Psychopathology: Mechanisms, Processes, and Pathways Linking the Prenatal Environment to Postnatal Outcomes)

Identifiers

Local EPrints ID: 425791
URI: http://eprints.soton.ac.uk/id/eprint/425791
ISSN: 0954-5794
PURE UUID: 3a2dbc31-29d1-4897-9f68-fd03f433c70d
ORCID for Joanna D. Holbrook: ORCID iD orcid.org/0000-0003-1791-6894

Catalogue record

Date deposited: 02 Nov 2018 17:30
Last modified: 15 Mar 2024 21:15

Export record

Altmetrics

Contributors

Author: Elika Garg
Author: Li Chen
Author: Thao T.T. Nguyen
Author: Irina Pokhvisneva
Author: Lawrence M. Chen
Author: Eva Unternaehrer
Author: Julia L. MacIsaac
Author: Lisa M. McEwen
Author: Sarah M. Mah
Author: Helene Gaudreau
Author: Robert Levitan
Author: Ellen Moss
Author: Marla B. Sokolowski
Author: James L. Kennedy
Author: Meir S. Steiner
Author: Michael J. Meaney
Author: Joanna D. Holbrook ORCID iD
Author: Patricia P. Silveira
Author: Neerja Karnani
Author: Michael S. Kobor
Author: Kieran J. O'Donnell
Corporate Author: Mavan Study Team

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×