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

Author:

Mayne Benjamin T12,Leemaqz Shalem Y12,Smith Alicia K3,Breen James14,Roberts Claire T12,Bianco-Miotto Tina15

Affiliation:

1. Robinson Research Institute, University of Adelaide, SA, 5005, Australia

2. Adelaide Medical School, University of Adelaide, SA, 5005, Australia

3. Department of Gynecology and Obstetrics & Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA 30322, USA

4. Bioinformatics Hub, School of Biological Sciences, University of Adelaide, SA, 5005, Australia

5. Waite Research Institute, School of Agriculture, Food & Wine, University of Adelaide, SA, 5005, Australia

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.

Publisher

Future Medicine Ltd

Subject

Cancer Research,Genetics

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