ArticleEpigenetics2018
DNA methylation in cord blood as mediator of the association between prenatal arsenic exposure and gestational age.
Article in Epigenetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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.
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Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.
- Exposure to arsenic at different life-stages and DNA methylation meta-analysis in buccal cells and leukocytes.Environmental health : a global access science source · 2021Pooled it
- Epigenetic signatures of intergenerational exposure to violence in three generations of Syrian refugees.Scientific reports · 2025Article
- Evidence of reduced gestational age in response to in utero arsenic exposure and implications for aging trajectories of the newborn.Environment international · 2024Article
- Drinking Water Contaminant Concentrations and Birth Outcomes.Journal of policy analysis and management : [the journal of the Association for Public Policy Analysis and Management] · 2024Article
- Linking Prenatal Environmental Exposures to Lifetime Health with Epigenome-Wide Association Studies: State-of-the-Science Review and Future Recommendations.Environmental health perspectives · 2023Review
- Metal mixtures modeling identifies birth weight-associated gene networks in the placentas of children born extremely preterm.Chemosphere · 2023Article
- Article
- Prenatal metal exposure, cord blood DNA methylation and persistence in childhood: an epigenome-wide association study of 12 metals.Clinical epigenetics · 2021Article
- Integration of Epigenetic Mechanisms into Non-Genotoxic Carcinogenicity Hazard Assessment: Focus on DNA Methylation and Histone Modifications.International journal of molecular sciences · 2021Review
- Impact of vitamin C supplementation on placental DNA methylation changes related to maternal smoking: association with gene expression and respiratory outcomes.Clinical epigenetics · 2021Article
- Nutrition, one-carbon metabolism and arsenic methylation.Toxicology · 2021Review
- Gene-based mediation analysis in epigenetic studies.Briefings in bioinformatics · 2021Article
- CpG and Non-CpG Methylation in the Diet-Epigenetics-Neurodegeneration Connection.Current nutrition reports · 2019Review
- Article
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 4 institutions in 2 countries.
Funding
Abstract
Prenatal arsenic exposure is associated with adverse birth outcomes and disease risk later in life, which could be mediated through epigenetic dysregulation. We evaluated the association between arsenic and gestational age (GA) that was mediated through DNA methylation (DNAm) using data from a Bangladeshi birth cohort. Arsenic exposure was measured in maternal drinking water at ≤16 weeks GA and maternal toenails collected ≤1 month postpartum. Cord blood DNAm was measured using Infinium HumanMethylation450 arrays (n = 44, discovery phase). Top loci identified in the discovery phase were then pyrosequenced in a second group (n = 569, validation phase). Structural equation models (SEM) evaluated the direct and indirect effects of arsenic and DNAm on GA. In the discovery phase, arsenic was associated with differential DNAm of 139 loci that were associated with GA (P < 1.10X10
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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.