ArticleEpigenetics
In-depth characterization of the placental imprintome reveals novel differentially methylated regions across birth weight categories.
Article in Epigenetics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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
10 citing papers in PubMed, 17 citations in OpenAlex.
- Blood and adipose tissue DNA methylation in adults born preterm with a very low birth weight - a sibling comparison study.Epigenomics · 2026Article
- Evaluating the association between placenta DNA methylation and cognitive functions in the offspring.Translational psychiatry · 2024Article
- Genome-wide unraveling SNP pairwise epistatic effects associated with sheep body weight.Animal biotechnology · 2023Article
- Placental DNA methylation in pregnancies complicated by maternal diabetes and/or obesity: State of the art and research gaps.Epigenetics · 2022Review
- Embryo cryopreservation leads to sex-specific DNA methylation perturbations in both human and mouse placentas.Human molecular genetics · 2022Article
- Fetal Growth and Intrauterine Epigenetic Programming of Obesity and Cardiometabolic Disease.NeoReviews · 2022Review
- Article
- Review
- Differences in Placental Imprinted Gene Expression across Preeclamptic and Non-Preeclamptic Pregnancies.Genes · 2020Article
- Being Born Large for Gestational Age is Associated with Increased Global Placental DNA Methylation.Scientific reports · 2020Article
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 at 2 institutions in 1 country.
Funding
Abstract
Imprinted genes play a pivotal role in placental processes underlying fetal development, and much interest centers on discerning whether these loci, via changes in DNA methylation and/or gene expression, inform disruptions in appropriate fetal growth. In this study, we comprehensively profiled DNA methylation across the placental imprintome and assessed the relationship with gene expression levels and aberrant fetal growth.Placental DNA methylation across 153 imprinted loci, including imprint control regions (ICR) and surrounding non-ICR regions, was surveyed using the Nimblegen TruSeq bisulfite sequencing platform among participants enrolled in the Rhode Island Child Health Study (RICHS, n = 163). Methylation and gene expression associations were assessed using eQTM analysis. Differential methylation analysis contrasting small (SGA) and large for gestational age (LGA) infants against appropriate for gestational age (AGA) infants was assessed using the DMRcate R package.We identified 34 SGA-related differentially methylated regions (DMRs) and 9 LGA-related DMRs (FDR<0.05), and these BW-DMRs predominated in promoter and intronic regions. We observed overall hypomethylation among SGA-DMRs overlapping maternally expressed (paternally imprinted) genes while no parent-of-origin effect was observed among LGA DMRs. Three BW-DMRs, mapping to
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.