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Accelerated Placental Aging in Early Onset Preeclampsia Pregnancies Identified By DNA Methylation

Benjamin Mayne, Shalem Leemaqz, Alicia K. Smith, James Breen, Claire T. Roberts, Tina Bianco‐Miotto

Epigenomics · 2016 · ▲ 152 citations

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.

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OpenAlex
DOI
10.2217/epi-2016-0103
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2026-07-22 MST

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APA
Mayne, B., Leemaqz, S., Smith, A.K., Breen, J., Roberts, C.T., &amp; Bianco‐Miotto, T. (2016). Accelerated Placental Aging in Early Onset Preeclampsia Pregnancies Identified By DNA Methylation. <em>Epigenomics</em>. https://doi.org/10.2217/epi-2016-0103
Vancouver
Mayne B, Leemaqz S, Smith AK, Breen J, Roberts CT, Bianco‐Miotto T. Accelerated Placental Aging in Early Onset Preeclampsia Pregnancies Identified By DNA Methylation. Epigenomics. 2016. doi:10.2217/epi-2016-0103.
BibTeX
@article{benjamin2016Accele, title = {Accelerated Placental Aging in Early Onset Preeclampsia Pregnancies Identified By DNA Methylation}, author = {Benjamin Mayne and Shalem Leemaqz and Alicia K. Smith and James Breen and Claire T. Roberts and Tina Bianco‐Miotto}, journal = {Epigenomics}, year = {2016}, doi = {10.2217/epi-2016-0103}, }

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