Association between maternal depression during pregnancy and newborn DNA methylation

Abstract Around 15–65% of women globally experience depression during pregnancy, prevalence being particularly high in low- and middle-income countries. Prenatal depression has been associated with adverse birth and child development outcomes. DNA methylation (DNAm) may aid in understanding this ass...

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Autores principales: Emily Drzymalla, Nicole Gladish, Nastassja Koen, Michael P. Epstein, Michael S. Kobor, Heather J. Zar, Dan J. Stein, Anke Hüls
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Publicado: Nature Publishing Group 2021
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Acceso en línea:https://doaj.org/article/05d0258854944a77ae96d617c5104b5e
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spelling oai:doaj.org-article:05d0258854944a77ae96d617c5104b5e2021-11-14T12:11:27ZAssociation between maternal depression during pregnancy and newborn DNA methylation10.1038/s41398-021-01697-w2158-3188https://doaj.org/article/05d0258854944a77ae96d617c5104b5e2021-11-01T00:00:00Zhttps://doi.org/10.1038/s41398-021-01697-whttps://doaj.org/toc/2158-3188Abstract Around 15–65% of women globally experience depression during pregnancy, prevalence being particularly high in low- and middle-income countries. Prenatal depression has been associated with adverse birth and child development outcomes. DNA methylation (DNAm) may aid in understanding this association. In this project, we analyzed associations between prenatal depression and DNAm from cord blood from participants of the South African Drakenstein Child Health Study. We examined DNAm in an epigenome-wide association study (EWAS) of 248 mother-child pairs. DNAm was measured using the Infinium MethylationEPIC (N = 145) and the Infinium HumanMethylation450 (N = 103) arrays. Prenatal depression scores, obtained with the Edinburgh Postnatal Depression Scale (EPDS) and the Beck Depression Inventory-II (BDI-II), were analyzed as continuous and dichotomized variables. We used linear robust models to estimate associations between depression and newborn DNAm, adjusted for measured (smoking status, household income, sex, preterm birth, cell type proportions, and genetic principal components) and unmeasured confounding using Cate and Bacon algorithms. Bonferroni correction was used to adjust for multiple testing. DMRcate and dmrff were used to test for differentially methylated regions (DMRs). Differential DNAm was significantly associated with BDI-II variables, in cg16473797 (Δ beta = −1.10E-02, p = 6.87E-08), cg23262030 (Δ beta per BDI-II total IQR = 1.47E-03, p = 1.18E-07), and cg04859497 (Δ beta = −6.42E-02, p = 1.06E-09). Five DMRs were associated with at least two depression variables. Further studies are needed to replicate these findings and investigate their biological impact.Emily DrzymallaNicole GladishNastassja KoenMichael P. EpsteinMichael S. KoborHeather J. ZarDan J. SteinAnke HülsNature Publishing GrouparticleNeurosciences. Biological psychiatry. NeuropsychiatryRC321-571ENTranslational Psychiatry, Vol 11, Iss 1, Pp 1-8 (2021)
institution DOAJ
collection DOAJ
language EN
topic Neurosciences. Biological psychiatry. Neuropsychiatry
RC321-571
spellingShingle Neurosciences. Biological psychiatry. Neuropsychiatry
RC321-571
Emily Drzymalla
Nicole Gladish
Nastassja Koen
Michael P. Epstein
Michael S. Kobor
Heather J. Zar
Dan J. Stein
Anke Hüls
Association between maternal depression during pregnancy and newborn DNA methylation
description Abstract Around 15–65% of women globally experience depression during pregnancy, prevalence being particularly high in low- and middle-income countries. Prenatal depression has been associated with adverse birth and child development outcomes. DNA methylation (DNAm) may aid in understanding this association. In this project, we analyzed associations between prenatal depression and DNAm from cord blood from participants of the South African Drakenstein Child Health Study. We examined DNAm in an epigenome-wide association study (EWAS) of 248 mother-child pairs. DNAm was measured using the Infinium MethylationEPIC (N = 145) and the Infinium HumanMethylation450 (N = 103) arrays. Prenatal depression scores, obtained with the Edinburgh Postnatal Depression Scale (EPDS) and the Beck Depression Inventory-II (BDI-II), were analyzed as continuous and dichotomized variables. We used linear robust models to estimate associations between depression and newborn DNAm, adjusted for measured (smoking status, household income, sex, preterm birth, cell type proportions, and genetic principal components) and unmeasured confounding using Cate and Bacon algorithms. Bonferroni correction was used to adjust for multiple testing. DMRcate and dmrff were used to test for differentially methylated regions (DMRs). Differential DNAm was significantly associated with BDI-II variables, in cg16473797 (Δ beta = −1.10E-02, p = 6.87E-08), cg23262030 (Δ beta per BDI-II total IQR = 1.47E-03, p = 1.18E-07), and cg04859497 (Δ beta = −6.42E-02, p = 1.06E-09). Five DMRs were associated with at least two depression variables. Further studies are needed to replicate these findings and investigate their biological impact.
format article
author Emily Drzymalla
Nicole Gladish
Nastassja Koen
Michael P. Epstein
Michael S. Kobor
Heather J. Zar
Dan J. Stein
Anke Hüls
author_facet Emily Drzymalla
Nicole Gladish
Nastassja Koen
Michael P. Epstein
Michael S. Kobor
Heather J. Zar
Dan J. Stein
Anke Hüls
author_sort Emily Drzymalla
title Association between maternal depression during pregnancy and newborn DNA methylation
title_short Association between maternal depression during pregnancy and newborn DNA methylation
title_full Association between maternal depression during pregnancy and newborn DNA methylation
title_fullStr Association between maternal depression during pregnancy and newborn DNA methylation
title_full_unstemmed Association between maternal depression during pregnancy and newborn DNA methylation
title_sort association between maternal depression during pregnancy and newborn dna methylation
publisher Nature Publishing Group
publishDate 2021
url https://doaj.org/article/05d0258854944a77ae96d617c5104b5e
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