Whole‐Genome Promoter Profiling of Plasma DNA Exhibits Diagnostic Value for Placenta‐Origin Pregnancy Complications
Abstract: Placenta‐origin pregnancy complications, including preeclampsia (PE), gestational diabetes mellitus (GDM), fetal growth restriction (FGR), and macrosomia (MA) are common occurrences in pregnancy, resulting in significant morbidity and mortality for both mother and fetus. However, despite their frequency, there are no reliable methods for the early diagnosis of these complications. Since cfDNA is mainly derived from placental trophoblasts and maternal hematopoietic cells, it might have information for gene expression which can be used for disease prediction. Here, low coverage whole‐genome sequencing on plasma DNA from 2,199 pregnancies is performed based on retrospective cohorts of 3,200 pregnant women. Read depth in the promoter regions is examined to define read‐depth distribution patterns of promoters for pregnancy complications and controls. Using machine learning methods, classifiers for predicting pregnancy complications are developed. Using these classifiers, complications are successfully predicted with an accuracy of 80.3%, 78.9%, 72.1%, and 83.0% for MA, FGR, GDM, and PE, respectively. The findings suggest that promoter profiling of cfDNA may be used as a biological biomarker for predicting pregnancy complications at early gestational age.
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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Whole‐Genome Promoter Profiling of Plasma DNA Exhibits Diagnostic Value for Placenta‐Origin Pregnancy Complications ; volume:7 ; number:7 ; year:2020 ; extent:11
Advanced science ; 7, Heft 7 (2020) (gesamt 11)
- Creator
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Guo, Zhiwei
Yang, Fang
Zhang, Jun
Zhang, Zhigang
Li, Kun
Tian, Qi
Hou, Hongying
Xu, Cailing
Lu, Qianwen
Ren, Zhonglu
Yang, Xiaoxue
Lv, Zenglu
Wang, Ke
Yang, Xinping
Wu, Yingsong
Yang, Xuexi
- DOI
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10.1002/advs.201901819
- URN
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urn:nbn:de:101:1-2022062311353331323548
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:27 AM CEST
Data provider
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Guo, Zhiwei
- Yang, Fang
- Zhang, Jun
- Zhang, Zhigang
- Li, Kun
- Tian, Qi
- Hou, Hongying
- Xu, Cailing
- Lu, Qianwen
- Ren, Zhonglu
- Yang, Xiaoxue
- Lv, Zenglu
- Wang, Ke
- Yang, Xinping
- Wu, Yingsong
- Yang, Xuexi
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