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Nucleated red blood cells explain most of the association between DNA methylation and gestational age
Determining if specific cell type(s) are responsible for an association between DNA methylation (DNAm) and a given phenotype is important for understanding the biological mechanisms underlying the association. Our EWAS of gestational age (GA) in 953 newborns from the Norwegian MoBa study identified...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9971030/ https://www.ncbi.nlm.nih.gov/pubmed/36849614 http://dx.doi.org/10.1038/s42003-023-04584-w |
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author | Haftorn, Kristine L. Denault, William R. P. Lee, Yunsung Page, Christian M. Romanowska, Julia Lyle, Robert Næss, Øyvind E. Kristjansson, Dana Magnus, Per M. Håberg, Siri E. Bohlin, Jon Jugessur, Astanand |
author_facet | Haftorn, Kristine L. Denault, William R. P. Lee, Yunsung Page, Christian M. Romanowska, Julia Lyle, Robert Næss, Øyvind E. Kristjansson, Dana Magnus, Per M. Håberg, Siri E. Bohlin, Jon Jugessur, Astanand |
author_sort | Haftorn, Kristine L. |
collection | PubMed |
description | Determining if specific cell type(s) are responsible for an association between DNA methylation (DNAm) and a given phenotype is important for understanding the biological mechanisms underlying the association. Our EWAS of gestational age (GA) in 953 newborns from the Norwegian MoBa study identified 13,660 CpGs significantly associated with GA (p(Bonferroni)<0.05) after adjustment for cell type composition. When the CellDMC algorithm was applied to explore cell-type specific effects, 2,330 CpGs were significantly associated with GA, mostly in nucleated red blood cells [nRBCs; n = 2,030 (87%)]. Similar patterns were found in another dataset based on a different array and when applying an alternative algorithm to CellDMC called Tensor Composition Analysis (TCA). Our findings point to nRBCs as the main cell type driving the DNAm–GA association, implicating an epigenetic signature of erythropoiesis as a likely mechanism. They also explain the poor correlation observed between epigenetic age clocks for newborns and those for adults. |
format | Online Article Text |
id | pubmed-9971030 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-99710302023-03-01 Nucleated red blood cells explain most of the association between DNA methylation and gestational age Haftorn, Kristine L. Denault, William R. P. Lee, Yunsung Page, Christian M. Romanowska, Julia Lyle, Robert Næss, Øyvind E. Kristjansson, Dana Magnus, Per M. Håberg, Siri E. Bohlin, Jon Jugessur, Astanand Commun Biol Article Determining if specific cell type(s) are responsible for an association between DNA methylation (DNAm) and a given phenotype is important for understanding the biological mechanisms underlying the association. Our EWAS of gestational age (GA) in 953 newborns from the Norwegian MoBa study identified 13,660 CpGs significantly associated with GA (p(Bonferroni)<0.05) after adjustment for cell type composition. When the CellDMC algorithm was applied to explore cell-type specific effects, 2,330 CpGs were significantly associated with GA, mostly in nucleated red blood cells [nRBCs; n = 2,030 (87%)]. Similar patterns were found in another dataset based on a different array and when applying an alternative algorithm to CellDMC called Tensor Composition Analysis (TCA). Our findings point to nRBCs as the main cell type driving the DNAm–GA association, implicating an epigenetic signature of erythropoiesis as a likely mechanism. They also explain the poor correlation observed between epigenetic age clocks for newborns and those for adults. Nature Publishing Group UK 2023-02-27 /pmc/articles/PMC9971030/ /pubmed/36849614 http://dx.doi.org/10.1038/s42003-023-04584-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Haftorn, Kristine L. Denault, William R. P. Lee, Yunsung Page, Christian M. Romanowska, Julia Lyle, Robert Næss, Øyvind E. Kristjansson, Dana Magnus, Per M. Håberg, Siri E. Bohlin, Jon Jugessur, Astanand Nucleated red blood cells explain most of the association between DNA methylation and gestational age |
title | Nucleated red blood cells explain most of the association between DNA methylation and gestational age |
title_full | Nucleated red blood cells explain most of the association between DNA methylation and gestational age |
title_fullStr | Nucleated red blood cells explain most of the association between DNA methylation and gestational age |
title_full_unstemmed | Nucleated red blood cells explain most of the association between DNA methylation and gestational age |
title_short | Nucleated red blood cells explain most of the association between DNA methylation and gestational age |
title_sort | nucleated red blood cells explain most of the association between dna methylation and gestational age |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9971030/ https://www.ncbi.nlm.nih.gov/pubmed/36849614 http://dx.doi.org/10.1038/s42003-023-04584-w |
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