ReviewPlacenta2019
Considerations when processing and interpreting genomics data of the placenta.
Review in Placenta, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
26 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Current approaches and developments in transcript profiling of the human placenta.Human reproduction update · 2020Pooled it
- Systematic review supports the role of DNA methylation in the pathophysiology of preeclampsia: a call for analytical and methodological standardization.Biology of sex differences · 2020Pooled it
- Article
- Impact of placental and peripheral blood DNA methylation on celiac disease susceptibility.Journal of pediatric gastroenterology and nutrition · 2025Article
- Placenta segmentation redefined: review of deep learning integration of magnetic resonance imaging and ultrasound imaging.Visual computing for industry, biomedicine, and art · 2025Review
- Potentially causal associations between placental DNA methylation and schizophrenia and other neuropsychiatric disorders.Nature communications · 2025Article
- Breaking rules: the complex relationship between DNA methylation and X-chromosome inactivation in the human placenta.Biology of sex differences · 2025Article
- Epigenome-wide association study of placental co-methylated regions in newborns for prenatal opioid exposure.Environmental epigenetics · 2025Article
- Article
- The application of epiphenotyping approaches to DNA methylation array studies of the human placenta.Epigenetics & chromatin · 2023Article
- The application of epiphenotyping approaches to DNA methylation array studies of the human placenta.Research square · 2023Article
- Sequence-Based Platforms for Discovering Biomarkers in Liquid Biopsy of Non-Small-Cell Lung Cancer.Cancers · 2023Review
- Potentially causal associations between placental DNA methylation and schizophrenia and other neuropsychiatric disorders.medRxiv : the preprint server for health sciences · 2023Article
- Placental transcriptomic signatures of prenatal exposure to Hydroxy-Polycyclic aromatic hydrocarbons.Environment international · 2023Article
- Profiling placental DNA methylation associated with maternal SSRI treatment during pregnancy.Scientific reports · 2022Article
- Placental DNA methylation in pregnancies complicated by maternal diabetes and/or obesity: State of the art and research gaps.Epigenetics · 2022Review
- Cohort profile: the ECHO prenatal and early childhood pathways to health consortium (ECHO-PATHWAYS).BMJ open · 2022Article
- X chromosome inactivation in the human placenta is patchy and distinct from adult tissues.HGG advances · 2022Article
- Prenatal exposure to particulate matter and placental gene expression.Environment international · 2022Article
- Pregnancy exposure to synthetic phenols and placental DNA methylation - An epigenome-wide association study in male infants from the EDEN cohort.Environmental pollution (Barking, Essex : 1987) · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
The application of genomic approaches to placental research has opened exciting new avenues to help us understand basic biological properties of the placenta, improve prenatal screening/diagnosis, and measure effects of in utero exposures on child health outcomes. In the last decade, such large-scale genomic data (including epigenomics and transcriptomics) have become more easily accessible to researchers from many disciplines due to the increasing ease of obtaining such data and the rapidly evolving computational tools available for analysis. While the potential of large-scale studies has been widely promoted, less attention has been given to some of the challenges associated with processing and interpreting such data. We hereby share some of our experiences in assessing data quality, reproducibility, and interpretation in the context of genome-wide studies of the placenta, with the aim to improve future studies. There is rarely a single "best" approach, as that can depend on the study question and sample cohort. However, being consistent, thoroughly assessing potential confounders in the data, and communicating key variables in the methods section of the manuscript are critically important to help researchers to collaborate and build on each other's work.
Indexed as
Identifiers
What OpenQuestion holds
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.