A meta-analysis of pre-pregnancy maternal body mass index and placental DNA methylation identifies 27 CpG sites with implications for mother-child health Article Swipe
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· 2022
· Open Access
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· DOI: https://doi.org/10.5281/zenodo.7314533
Higher maternal pre-pregnancy body mass index (ppBMI) is associated with increased neonatal morbidity, as well as with pregnancy complications and metabolic outcomes in offspring later in life. Placenta is a key organ in fetal development and has been proposed to act as a mediator between the mother and different health outcomes in children. The overall aim of the present work is to investigate the association of ppBMI with epigenome-wide placental DNA methylation (DNAm) in 10 studies from the PACE consortium, amounting to 2,631 mother-child pairs. We identify 27 CpG sites at which we observe placental DNAm variations of up to 2.0% per 10 ppBMI-unit. The CpGs that are differentially methylated in placenta do not overlap with CpGs identified in previous studies in cord blood DNAm related to ppBMI. Many of the identified CpGs are located in open sea regions, are often close to obesity-related genes such as GPX1 and LGR4 and altogether, are enriched in cancer and oxidative stress pathways. Our findings suggest that placental DNAm could be one of the mechanisms by which maternal obesity is associated with metabolic health outcomes in newborns and children, although further studies will be needed in order to corroborate these findings. File descriptions: ppBMI_placenta_unadjustedmodel_NFJ.csv = EWAS summary statistics for the EWAS of ppBMI using the unadjusted model ppBMI_placenta_adjustedmodel_NFJ.csv = EWAS summary statistics for the EWAS of ppBMI using the adjusted model Upload of this dataset was completed by The EWAS Catalog team. The data can be queried along with hundreds of other EWAS at ewascatalog.org. To upload your EWAS summary statistics and have a Zenodo DOI generated for you go to ewascatalog.org/upload.
Related Topics
- Type
- dataset
- Language
- en
- Landing Page
- https://doi.org/10.5281/zenodo.7314533
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4393590573
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4393590573Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.5281/zenodo.7314533Digital Object Identifier
- Title
-
A meta-analysis of pre-pregnancy maternal body mass index and placental DNA methylation identifies 27 CpG sites with implications for mother-child healthWork title
- Type
-
datasetOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-01-01Full publication date if available
- Authors
-
Nora Fernández‐Jiménez, Ruby Fore, Ariadna Cilleros‐Portet, Johanna Lepeule, Patrice Perron, Tuomas Kvist, Fu‐Ying Tian, Corina Lesseur, Alexandra M. Binder, Manuel Lozano, Jordi Martorell‐Marugán, Jane Loke, Kelly M. Bakulski, Yihui Zhu, Anne Forhan, Sara Sammallahti, Todd M. Everson, Jia Chen, Karin B. Michels, Thalía Belmonte, Pedro Carmona‐Sáez, Jane Halliday, M. Daniele Fallin, Janine M. LaSalle, Jörg Tost, Darina Czamara, Mariana F. Fernández, Antonio Gómez‐Martín, Jeffrey M. Craig, Beatriz González-Alzaga, Rebecca J. Schmidt, John Dou, Evelyne Muggli, Marina Lacasaña, Martine Vrijheid, Carmen J. Marsit, Margaret R. Karagas, Katri Räikkönen, Luigi Bouchard, Barbara Heude, Ljiljana Marina, Mariona Bustamante, Marie‐France Hivert, José Ramón BilbaoList of authors in order
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https://doi.org/10.5281/zenodo.7314533Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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greenOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.5281/zenodo.7314533Direct OA link when available
- Concepts
-
CpG site, DNA methylation, Methylation, Body mass index, Pregnancy, Obstetrics, Biology, Placenta, Genetics, Medicine, DNA, Fetus, Gene, Endocrinology, Gene expressionTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- Related works (count)
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10Other works algorithmically related by OpenAlex
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