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DNA methylation associated with postpartum depressive symptoms overlaps findings from a genome-wide association meta-analysis of depression

BACKGROUND: Perinatal depressive symptoms have been linked to adverse maternal and infant health outcomes. The etiology associated with perinatal depressive psychopathology is poorly understood, but accumulating evidence suggests that understanding inter-individual differences in DNA methylation (DN...

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Autores principales: Lapato, Dana M., Roberson-Nay, Roxann, Kirkpatrick, Robert M., Webb, Bradley T., York, Timothy P., Kinser, Patricia A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6883636/
https://www.ncbi.nlm.nih.gov/pubmed/31779682
http://dx.doi.org/10.1186/s13148-019-0769-z
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author Lapato, Dana M.
Roberson-Nay, Roxann
Kirkpatrick, Robert M.
Webb, Bradley T.
York, Timothy P.
Kinser, Patricia A.
author_facet Lapato, Dana M.
Roberson-Nay, Roxann
Kirkpatrick, Robert M.
Webb, Bradley T.
York, Timothy P.
Kinser, Patricia A.
author_sort Lapato, Dana M.
collection PubMed
description BACKGROUND: Perinatal depressive symptoms have been linked to adverse maternal and infant health outcomes. The etiology associated with perinatal depressive psychopathology is poorly understood, but accumulating evidence suggests that understanding inter-individual differences in DNA methylation (DNAm) patterning may provide insight regarding the genomic regions salient to the risk liability of perinatal depressive psychopathology. RESULTS: Genome-wide DNAm was measured in maternal peripheral blood using the Infinium MethylationEPIC microarray. Ninety-two participants (46% African-American) had DNAm samples that passed all quality control metrics, and all participants were within 7 months of delivery. Linear models were constructed to identify differentially methylated sites and regions, and permutation testing was utilized to assess significance. Differentially methylated regions (DMRs) were defined as genomic regions of consistent DNAm change with at least two probes within 1 kb of each other. Maternal age, current smoking status, estimated cell-type proportions, ancestry-relevant principal components, days since delivery, and chip position served as covariates to adjust for technical and biological factors. Current postpartum depressive symptoms were measured using the Edinburgh Postnatal Depression Scale. Ninety-eight DMRs were significant (false discovery rate < 5%) and overlapped 92 genes. Three of the regions overlap loci from the latest Psychiatric Genomics Consortium meta-analysis of depression. CONCLUSIONS: Many of the genes identified in this analysis corroborate previous allelic, transcriptomic, and DNAm association results related to depressive phenotypes. Future work should integrate data from multi-omic platforms to understand the functional relevance of these DMRs and refine DNAm association results by limiting phenotypic heterogeneity and clarifying if DNAm differences relate to the timing of onset, severity, duration of perinatal mental health outcomes of the current pregnancy or to previous history of depressive psychopathology.
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spelling pubmed-68836362019-12-03 DNA methylation associated with postpartum depressive symptoms overlaps findings from a genome-wide association meta-analysis of depression Lapato, Dana M. Roberson-Nay, Roxann Kirkpatrick, Robert M. Webb, Bradley T. York, Timothy P. Kinser, Patricia A. Clin Epigenetics Research BACKGROUND: Perinatal depressive symptoms have been linked to adverse maternal and infant health outcomes. The etiology associated with perinatal depressive psychopathology is poorly understood, but accumulating evidence suggests that understanding inter-individual differences in DNA methylation (DNAm) patterning may provide insight regarding the genomic regions salient to the risk liability of perinatal depressive psychopathology. RESULTS: Genome-wide DNAm was measured in maternal peripheral blood using the Infinium MethylationEPIC microarray. Ninety-two participants (46% African-American) had DNAm samples that passed all quality control metrics, and all participants were within 7 months of delivery. Linear models were constructed to identify differentially methylated sites and regions, and permutation testing was utilized to assess significance. Differentially methylated regions (DMRs) were defined as genomic regions of consistent DNAm change with at least two probes within 1 kb of each other. Maternal age, current smoking status, estimated cell-type proportions, ancestry-relevant principal components, days since delivery, and chip position served as covariates to adjust for technical and biological factors. Current postpartum depressive symptoms were measured using the Edinburgh Postnatal Depression Scale. Ninety-eight DMRs were significant (false discovery rate < 5%) and overlapped 92 genes. Three of the regions overlap loci from the latest Psychiatric Genomics Consortium meta-analysis of depression. CONCLUSIONS: Many of the genes identified in this analysis corroborate previous allelic, transcriptomic, and DNAm association results related to depressive phenotypes. Future work should integrate data from multi-omic platforms to understand the functional relevance of these DMRs and refine DNAm association results by limiting phenotypic heterogeneity and clarifying if DNAm differences relate to the timing of onset, severity, duration of perinatal mental health outcomes of the current pregnancy or to previous history of depressive psychopathology. BioMed Central 2019-11-28 /pmc/articles/PMC6883636/ /pubmed/31779682 http://dx.doi.org/10.1186/s13148-019-0769-z Text en © The Author(s). 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Lapato, Dana M.
Roberson-Nay, Roxann
Kirkpatrick, Robert M.
Webb, Bradley T.
York, Timothy P.
Kinser, Patricia A.
DNA methylation associated with postpartum depressive symptoms overlaps findings from a genome-wide association meta-analysis of depression
title DNA methylation associated with postpartum depressive symptoms overlaps findings from a genome-wide association meta-analysis of depression
title_full DNA methylation associated with postpartum depressive symptoms overlaps findings from a genome-wide association meta-analysis of depression
title_fullStr DNA methylation associated with postpartum depressive symptoms overlaps findings from a genome-wide association meta-analysis of depression
title_full_unstemmed DNA methylation associated with postpartum depressive symptoms overlaps findings from a genome-wide association meta-analysis of depression
title_short DNA methylation associated with postpartum depressive symptoms overlaps findings from a genome-wide association meta-analysis of depression
title_sort dna methylation associated with postpartum depressive symptoms overlaps findings from a genome-wide association meta-analysis of depression
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6883636/
https://www.ncbi.nlm.nih.gov/pubmed/31779682
http://dx.doi.org/10.1186/s13148-019-0769-z
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