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Author Notes:

Correspondence: Tina Bianco-Miotto; tina.bianco@adelaide.edu.au

Author contributions: BT Mayne designed, conducted the study, analyzed and interpreted the data, and wrote the manuscript.

SY Leemaqz analyzed the data, provided intellectual input into the manuscript.

AK Smith was involved in data creation, provided critical discussion and intellectual input into the manuscript.

J Breen, CT Roberts and T Bianco-Miotto were all involved in the study design, provided critical discussion and intellectual input into the manuscript.

All authors read and approved the final manuscript.

Acknowledgements: The authors would like to thank the generosity of all the individuals who were involved in the data creation of all datasets that were available for public analysis.

Disclosures: No writing assistance was utilized in the production of this manuscript.

Subjects:

Research Funding:

This project was funded in part by a National Health and Medical Research Council of Australia Project Grant (GNT1059120) awarded to CT Roberts and T Bianco-Miotto, and support from the NIH R01MD009064 awarded to AK Smith.

BT Mayne is supported by an Australian Postgraduate Award.

CT Roberts is supported by an National Health and Medical Research Council of Australia Senior Research Fellowship GNT1020749.

The authors have no other relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript apart from those disclosed.

Keywords:

  • Science & Technology
  • Life Sciences & Biomedicine
  • Genetics & Heredity
  • DNA methylation
  • gestational age
  • placenta
  • GESTATIONAL DIABETES-MELLITUS
  • GENE-EXPRESSION
  • PROMOTER METHYLATION
  • FETAL-GROWTH
  • AGE
  • PATHWAYS
  • OUTCOMES
  • HYPOMETHYLATION
  • MICROARRAY
  • PROFILES

Accelerated placental aging in early onset preeclampsia pregnancies identified by DNA methylation

Tools:

Journal Title:

Epigenomics

Volume:

Volume 9, Number 3

Publisher:

, Pages 279-289

Type of Work:

Article | Final Publisher PDF

Abstract:

Aim: To determine whether dynamic DNA methylation changes in the human placenta can be used to predict gestational age. Materials & methods: Publicly available placental DNA methylation data from 12 studies, together with our own dataset, using Illumina Infinium Human Methylation BeadChip arrays. Results & conclusion: We developed an accurate tool for predicting gestational age of placentas using 62 CpG sites. There was a higher predicted gestational age for placentas from early onset preeclampsia cases, but not term preeclampsia, compared with their chronological age. Therefore, early onset preeclampsia is associated with placental aging. Gestational age acceleration prediction from DNA methylation array data may provide insight into the molecular mechanisms of pregnancy disorders.

Copyright information:

© 2016 Tina Bianco-Miotto.

This is an Open Access work distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (http://creativecommons.org/licenses/by-nc-nd/4.0/).

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