ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2020
Whole-Genome Promoter Profiling of Plasma DNA Exhibits Diagnostic Value for Placenta-Origin Pregnancy Complications.
Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06385366 (Developing and Evaluating Models for Early Prediction of Obstetrical Diseases), which is not on this map. Cited by 38 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Developing and Evaluating Models for Early Prediction of Obstetrical Diseases: Preeclampsia, Spontaneous Preterm Birth, and Gestational Diabetes in The Pregnant Women Performed Non-invasive Prenatal Screening (NIPT)
Who cites it
38 citing papers in PubMed, 62 citations in OpenAlex.
- First-trimester preeclampsia prediction model via integrative machine learning of maternal risk profiles and laboratory markers.Genes & diseases · 2026Article
- Cell-free DNA fragmentomics for preeclampsia risk assessment.Nature communications · 2026Article
- Early prediction of gestational diabetes mellitus with clinical characteristics, cell-free DNA and genetic variants.Journal of translational medicine · 2026Article
- Cell-Based and Cell-Free Non-Invasive Prenatal Analysis of Preeclampsia: An Updated Review of Liquid Biopsy.Biomedicines · 2026Review
- Promoter landscape of maternal plasma DNA reveals predictive signatures of fetal growth restriction.Human genomics · 2026Article
- Exploration of Early Biomarkers for Gestational Diabetes Mellitus in Pregnant Women Living Without Obesity.Journal of diabetes research · 2026Article
- Artificial intelligence for early prediction of gestational diabetes mellitus and preeclampsia: a systematic review of machine learning models and clinical decision support systems.Frontiers in artificial intelligence · 2026Review
- Demethylation of leptin promoter in gestational diabetes mellitus: evidence from a mouse model.Frontiers in cell and developmental biology · 2026Article
- Characterization of Ultra-Short plasma Cell-Free DNA in maternal blood and its preliminary potential as a screening marker for preeclampsia.Molecular medicine (Cambridge, Mass.) · 2025Article
- Association between embryo transfer season and the risks of hypertensive disorders of pregnancy and gestational diabetes mellitus.Journal of assisted reproduction and genetics · 2025Article
- Genome-wide nucleosome footprints of plasma cfDNA predict preterm birth: A case-control study.PLoS medicine · 2025Article
- Maternal plasma cell-free DNA nucleosome footprints can reveal changes in gene expression profiles during pregnancy and pre-eclampsia.BMC pregnancy and childbirth · 2025Article
- Advances in cfDNA research for pregnancy-related diseases.Frontiers in cell and developmental biology · 2025Review
- Application of artificial intelligence in diagnosis and management of fetal growth disorders: a comprehensive review.Frontiers in medicine · 2025Review
- Identification and Immunological Characterization of Cuproptosis Related Genes in Preeclampsia Using Bioinformatics Analysis and Machine Learning.Journal of clinical hypertension (Greenwich, Conn.) · 2025Article
- Advancement in predictive biomarkers for gestational diabetes mellitus diagnosis and related outcomes: a scoping review.BMJ open · 2024Article
- Cell-free placental DNA: What do we really know?PLoS genetics · 2024Review
- Deciphering DNA Methylation in Gestational Diabetes Mellitus: Epigenetic Regulation and Potential Clinical Applications.International journal of molecular sciences · 2024Review
- Longitudinal integrative cell-free DNA analysis in gestational diabetes mellitus.Cell reports. Medicine · 2024Article
- Promoter profiles in plasma CfDNA exhibits a potential utility of predicting the efficacy of neoadjuvant chemotherapy in breast cancer patients.Breast cancer research : BCR · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.