SynthesisEnvironmental health : a global access science source2021
Exposure to arsenic at different life-stages and DNA methylation meta-analysis in buccal cells and leukocytes.
Synthesis in Environmental health : a global access science source, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 26 citations in OpenAlex.
- Arsenic exposure at birth, socioeconomic status, and epigenetic aging among adults in northern Chile.Environmental research · 2026Article
- Associations of arsenic exposure and folate in maternal leukocyte DNA methylation: a case-control study of mothers with spina-bifida affected children.Environmental health : a global access science source · 2026Article
- Synergic effect of arsenic exposure related methylation changes in three cohorts exposed to levels of this toxicant.International archives of occupational and environmental health · 2025Article
- Improving Cardiovascular Health Through the Consideration of Social Factors in Genetics and Genomics Research: A Scientific Statement From the American Heart Association.Circulation. Cardiovascular quality and outcomes · 2025Review
- Parental arsenic exposure and tissue-specific DNA methylation in Bangladeshi infants with spina bifida.Epigenetics · 2024Article
- Molecular and cell phenotype programs in oral epithelial cells directed by co-exposure to arsenic and smokeless tobacco.bioRxiv : the preprint server for biology · 2024Article
- DNA methylation is associated with hair trace elements in female adolescents from two vulnerable populations in the Colombian Caribbean.Environmental epigenetics · 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
- State of the Art of Genomic Technology in Toxicology: A Review.International journal of molecular sciences · 2023Review
- Assessing Differential Variability of High-Throughput DNA Methylation Data.Current environmental health reports · 2022Review
- Metals Exposures and DNA Methylation: Current Evidence and Future Directions.Current environmental health reports · 2022Review
- Review
- The impact of prenatal and early-life arsenic exposure on epigenetic age acceleration among adults in Northern Chile.Environmental epigenetics · 2022Article
- Molecular and cell phenotype programs in oral epithelial cells directed by co-exposure to arsenic and smokeless tobacco.BioFactors (Oxford, England)Article
Corrections and comments
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Authors and funding
14 authors at 6 institutions in 2 countries.
Funding
Abstract
backgroundArsenic (As) exposure through drinking water is a global public health concern. Epigenetic dysregulation including changes in DNA methylation (DNAm), may be involved in arsenic toxicity. Epigenome-wide association studies (EWAS) of arsenic exposure have been restricted to single populations and comparison across EWAS has been limited by methodological differences. Leveraging data from epidemiological studies conducted in Chile and Bangladesh, we use a harmonized data processing and analysis pipeline and meta-analysis to combine results from four EWAS.
methodsDNAm was measured among adults in Chile with and without prenatal and early-life As exposure in PBMCs and buccal cells (N = 40, 850K array) and among men in Bangladesh with high and low As exposure in PBMCs (N = 32, 850K array; N = 48, 450K array). Linear models were used to identify differentially methylated positions (DMPs) and differentially variable positions (DVPs) adjusting for age, smoking, cell type, and sex in the Chile cohort. Probes common across EWAS were meta-analyzed using METAL, and differentially methylated and variable regions (DMRs and DVRs, respectively) were identified using comb-p. KEGG pathway analysis was used to understand biological functions of DMPs and DVPs.
resultsIn a meta-analysis restricted to PBMCs, we identified one DMP and 23 DVPs associated with arsenic exposure; including buccal cells, we identified 3 DMPs and 19 DVPs (FDR < 0.05). Using meta-analyzed results, we identified 11 DMRs and 11 DVRs in PBMC samples, and 16 DMRs and 19 DVRs in PBMC and buccal cell samples. One region annotated to LRRC27 was identified as a DMR and DVR. Arsenic-associated KEGG pathways included lysosome, autophagy, and mTOR signaling, AMPK signaling, and one carbon pool by folate.
conclusionsUsing a two-step process of (1) harmonized data processing and analysis and (2) meta-analysis, we leverage four DNAm datasets from two continents of individuals exposed to high levels of As prenatally and during adulthood to identify DMPs and DVPs associated with arsenic exposure. Our approach suggests that standardizing analytical pipelines can aid in identifying biological meaningful signals.
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