Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/105095
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Type: Journal article
Title: Accelerated placental aging in early onset preeclampsia pregnancies identified by DNA methylation.
Author: Mayne, B.
Leemaqz, S.
Smith, A.
Breen, J.
Roberts, C.
Bianco-Miotto, T.
Citation: Epigenomics, 2016; 9(3):279-289
Publisher: Future Medicine
Issue Date: 2016
ISSN: 1750-1911
1750-192X
Statement of
Responsibility: 
Benjamin T Mayne, Shalem Y Leemaqz, Alicia K Smith, James Breen, Claire T Roberts, Tina Bianco-Miotto
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.
Keywords: DNA methylation; gestational age; placenta
Rights: © Tina Bianco-Miotto. This work is licensed under the Attribution-NonCommercial- NoDerivatives 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/4.0/
RMID: 0030058812
DOI: 10.2217/epi-2016-0103
Grant ID: http://purl.org/au-research/grants/nhmrc/1020749
Appears in Collections:Medicine publications

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