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Associations between maternal risk factors of adverse pregnancy and birth outcomes and the offspring epigenetic clock of gestational age at birth

BACKGROUND: A recent study has shown that it is possible to accurately estimate gestational age (GA) at birth from the DNA methylation (DNAm) of fetal umbilical cord blood/newborn blood spots. This DNAm GA predictor may provide additional information relevant to developmental stage. In 814 mother-ne...

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Autores principales: Girchenko, Polina, Lahti, Jari, Czamara, Darina, Knight, Anna K., Jones, Meaghan J., Suarez, Anna, Hämäläinen, Esa, Kajantie, Eero, Laivuori, Hannele, Villa, Pia M., Reynolds, Rebecca M., Kobor, Michael S., Smith, Alicia K., Binder, Elisabeth B., Räikkönen, Katri
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5422977/
https://www.ncbi.nlm.nih.gov/pubmed/28503212
http://dx.doi.org/10.1186/s13148-017-0349-z
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author Girchenko, Polina
Lahti, Jari
Czamara, Darina
Knight, Anna K.
Jones, Meaghan J.
Suarez, Anna
Hämäläinen, Esa
Kajantie, Eero
Laivuori, Hannele
Villa, Pia M.
Reynolds, Rebecca M.
Kobor, Michael S.
Smith, Alicia K.
Binder, Elisabeth B.
Räikkönen, Katri
author_facet Girchenko, Polina
Lahti, Jari
Czamara, Darina
Knight, Anna K.
Jones, Meaghan J.
Suarez, Anna
Hämäläinen, Esa
Kajantie, Eero
Laivuori, Hannele
Villa, Pia M.
Reynolds, Rebecca M.
Kobor, Michael S.
Smith, Alicia K.
Binder, Elisabeth B.
Räikkönen, Katri
author_sort Girchenko, Polina
collection PubMed
description BACKGROUND: A recent study has shown that it is possible to accurately estimate gestational age (GA) at birth from the DNA methylation (DNAm) of fetal umbilical cord blood/newborn blood spots. This DNAm GA predictor may provide additional information relevant to developmental stage. In 814 mother-neonate pairs, we evaluated the associations between DNAm GA and a number of maternal and offspring characteristics. These characteristics reflect prenatal environmental adversity and are expected to influence newborn developmental stage. RESULTS: DNAm GA acceleration (GAA; i.e., older DNAm GA than chronological GA) of the offspring at birth was associated with maternal age of over 40 years at delivery, pre-eclampsia and fetal demise in a previous pregnancy, maternal pre-eclampsia and treatment with antenatal betamethasone in the index pregnancy, lower neonatal birth size, lower 1-min Apgar score, and female sex. DNAm GA deceleration (GAD; i.e., younger DNAm GA than chronological GA) of the offspring at birth was associated with insulin-treated gestational diabetes mellitus (GDM) in a previous pregnancy and Sjögren’s syndrome. These findings were more accentuated when the DNAm GA calculation was based on the raw difference between DNAm GA and GA than on the residual from the linear regression of DNAm GA on GA. CONCLUSIONS: Our findings show that variations in the DNAm GA of the offspring at birth are associated with a number of maternal and offspring characteristics known to reflect exposure to prenatal environmental adversity. Future studies should be aimed at determining if this biological variation is predictive of developmental adversity. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13148-017-0349-z) contains supplementary material, which is available to authorized users.
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spelling pubmed-54229772017-05-12 Associations between maternal risk factors of adverse pregnancy and birth outcomes and the offspring epigenetic clock of gestational age at birth Girchenko, Polina Lahti, Jari Czamara, Darina Knight, Anna K. Jones, Meaghan J. Suarez, Anna Hämäläinen, Esa Kajantie, Eero Laivuori, Hannele Villa, Pia M. Reynolds, Rebecca M. Kobor, Michael S. Smith, Alicia K. Binder, Elisabeth B. Räikkönen, Katri Clin Epigenetics Short Report BACKGROUND: A recent study has shown that it is possible to accurately estimate gestational age (GA) at birth from the DNA methylation (DNAm) of fetal umbilical cord blood/newborn blood spots. This DNAm GA predictor may provide additional information relevant to developmental stage. In 814 mother-neonate pairs, we evaluated the associations between DNAm GA and a number of maternal and offspring characteristics. These characteristics reflect prenatal environmental adversity and are expected to influence newborn developmental stage. RESULTS: DNAm GA acceleration (GAA; i.e., older DNAm GA than chronological GA) of the offspring at birth was associated with maternal age of over 40 years at delivery, pre-eclampsia and fetal demise in a previous pregnancy, maternal pre-eclampsia and treatment with antenatal betamethasone in the index pregnancy, lower neonatal birth size, lower 1-min Apgar score, and female sex. DNAm GA deceleration (GAD; i.e., younger DNAm GA than chronological GA) of the offspring at birth was associated with insulin-treated gestational diabetes mellitus (GDM) in a previous pregnancy and Sjögren’s syndrome. These findings were more accentuated when the DNAm GA calculation was based on the raw difference between DNAm GA and GA than on the residual from the linear regression of DNAm GA on GA. CONCLUSIONS: Our findings show that variations in the DNAm GA of the offspring at birth are associated with a number of maternal and offspring characteristics known to reflect exposure to prenatal environmental adversity. Future studies should be aimed at determining if this biological variation is predictive of developmental adversity. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13148-017-0349-z) contains supplementary material, which is available to authorized users. BioMed Central 2017-05-08 /pmc/articles/PMC5422977/ /pubmed/28503212 http://dx.doi.org/10.1186/s13148-017-0349-z Text en © The Author(s). 2017 Open AccessThis 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 Short Report
Girchenko, Polina
Lahti, Jari
Czamara, Darina
Knight, Anna K.
Jones, Meaghan J.
Suarez, Anna
Hämäläinen, Esa
Kajantie, Eero
Laivuori, Hannele
Villa, Pia M.
Reynolds, Rebecca M.
Kobor, Michael S.
Smith, Alicia K.
Binder, Elisabeth B.
Räikkönen, Katri
Associations between maternal risk factors of adverse pregnancy and birth outcomes and the offspring epigenetic clock of gestational age at birth
title Associations between maternal risk factors of adverse pregnancy and birth outcomes and the offspring epigenetic clock of gestational age at birth
title_full Associations between maternal risk factors of adverse pregnancy and birth outcomes and the offspring epigenetic clock of gestational age at birth
title_fullStr Associations between maternal risk factors of adverse pregnancy and birth outcomes and the offspring epigenetic clock of gestational age at birth
title_full_unstemmed Associations between maternal risk factors of adverse pregnancy and birth outcomes and the offspring epigenetic clock of gestational age at birth
title_short Associations between maternal risk factors of adverse pregnancy and birth outcomes and the offspring epigenetic clock of gestational age at birth
title_sort associations between maternal risk factors of adverse pregnancy and birth outcomes and the offspring epigenetic clock of gestational age at birth
topic Short Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5422977/
https://www.ncbi.nlm.nih.gov/pubmed/28503212
http://dx.doi.org/10.1186/s13148-017-0349-z
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