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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.
Afiliación
  • Haftorn KL; Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway. KristineLokas.Haftorn@fhi.no.
  • Denault WRP; Institute of Health and Society, University of Oslo, Oslo, Norway. KristineLokas.Haftorn@fhi.no.
  • Lee Y; Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway.
  • Page CM; Department of Human Genetics, University of Chicago, Chicago, IL, 60637, USA.
  • Romanowska J; Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway.
  • Lyle R; Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway.
  • Næss ØE; Department of Physical Health and Ageing, Division of Mental and Physical Health, Norwegian Institute of Public Health, Oslo, Norway.
  • Kristjansson D; Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway.
  • Magnus PM; Department of Global Public Health and Primary Care, , University of Bergen, Bergen, Norway.
  • Håberg SE; Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway.
  • Bohlin J; Department of Medical Genetics, Oslo University Hospital and University of Oslo, Oslo, Norway.
  • Jugessur A; Institute of Health and Society, University of Oslo, Oslo, Norway.
Commun Biol ; 6(1): 224, 2023 02 27.
Article en En | MEDLINE | ID: mdl-36849614
ABSTRACT
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 (pBonferroni<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.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Eritroblastos / Metilación de ADN Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Commun Biol Año: 2023 Tipo del documento: Article País de afiliación: Noruega

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Eritroblastos / Metilación de ADN Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Commun Biol Año: 2023 Tipo del documento: Article País de afiliación: Noruega
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