ArticleEpigenetics2014
Improved reporting of DNA methylation data derived from studies of the human placenta.
Article in Epigenetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled 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
- Placental and immune cell DNA methylation reference panel for bulk tissue cell composition estimation in epidemiological studies.Epigenetics · 2024Article
- Placental DNA methylation in pregnancies complicated by maternal diabetes and/or obesity: State of the art and research gaps.Epigenetics · 2022Review
- Article
- Review
- Socioeconomic Deprivation, Adverse Childhood Experiences and Medical Disorders in Adulthood: Mechanisms and Associations.Molecular neurobiology · 2019Review
- Impact of assisted reproduction, infertility, sex and paternal factors on the placental DNA methylome.Human molecular genetics · 2019Article
- Prenatal Growth Patterns and Birthweight Are Associated With Differential DNA Methylation and Gene Expression of Cardiometabolic Risk Genes in Human Placentas: A Discovery-Based Approach.Reproductive sciences (Thousand Oaks, Calif.) · 2018Article
- DNA methylation: conducting the orchestra from exposure to phenotype?Clinical epigenetics · 2016Review
- Placental DNA methylation at term reflects maternal serum levels of INHA and FN1, but not PAPPA, early in pregnancy.BMC medical genetics · 2015Article
- The human placental methylome.Cold Spring Harbor perspectives in medicine · 2015Review
- Variation of DNA methylation in candidate age-related targets on the mitochondrial-telomere axis in cord blood and placenta.Placenta · 2014Article
- Regulation of glutamate transport and neuroinflammation in a term newborn rat model of hypoxic-ischaemic brain injury.Brain and neuroscience advancesArticle
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Epigenetic variation is increasingly hypothesized as a mechanism underlying the effect of the in utero environment on long-term postnatal health; however, there is currently little clear data to support this in humans. A number of biological and technical factors provide challenges for the design of clinical epigenetic studies: from the type of cells or tissues that are available to the large range of predicted confounders that may impact findings. The human placenta, in addition to other neonatal tissues and whole blood, is commonly sampled for the study of epigenetic modifications. However there is little conformity for the most appropriate methods for study design, data analysis, and importantly, data interpretation. Here we present general recommendations for the reporting of DNA methylation in biological samples, with specific focus on the placenta. We outline key guidelines for: (1) placental sampling, (2) data analysis and presentation, and (3) interpretation of DNA methylation data. We emphasize the need to consider methodological noise, increase statistical power and to ensure appropriate adjustment for biological covariates. Finally, we highlight that epigenetic changes may be non-pathological and not necessarily translate into disease-associated changes. Improved reporting of DNA methylation data will be critical to identify epigenetic-based effects and to better understand the full phenotypic impact of these widely-reported epigenomic changes.
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Registered trials
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