4.5 Article

Prenatal Arsenic Exposure and the Epigenome: Identifying Sites of 5-methylcytosine Alterations that Predict Functional Changes in Gene Expression in Newborn Cord Blood and Subsequent Birth Outcomes

Journal

TOXICOLOGICAL SCIENCES
Volume 143, Issue 1, Pages 97-106

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/toxsci/kfu210

Keywords

arsenic; prenatal exposure; epigenetics; gene expression; DNA methylation

Categories

Funding

  1. National Institute of Environmental Health Sciences [T32ES007018, R01ES019315, P30ES010126, P42ES005948]

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Prenatal exposure to inorganic arsenic (iAs) is detrimental to the health of newborns and increases the risk of disease development later in life. Here we examined a subset of newborn cord blood leukocyte samples collected from subjects enrolled in the Biomarkers of Exposure to ARsenic (BEAR) pregnancy cohort in Gomez Palacio, Mexico, who were exposed to a range of drinking water arsenic concentrations (0.456-236 A mu g/l). Changes in iAs-associated DNA 5-methylcytosine methylation were assessed across 424 935 CpG sites representing 18 761 genes and compared with corresponding mRNA expression levels and birth outcomes. In the context of arsenic exposure, a total of 2919 genes were identified with iAs-associated differences in DNA methylation. Site-specific analyses identified DNA methylation changes that were most predictive of gene expression levels where CpG methylation within CpG islands positioned within the first exon, the 5' untranslated region and 200 bp upstream of the transcription start site yielded the most significant association with gene expression levels. A set of 16 genes was identified with correlated iAs-associated changes in DNA methylation and mRNA expression and all were highly enriched for binding sites of the early growth response (EGR) and CCCTC-binding factor (CTCF) transcription factors. Furthermore, DNA methylation levels of 7 of these genes were associated with differences in birth outcomes including gestational age and head circumference.These data highlight the complex interplay between DNA methylation, functional changes in gene expression and health outcomes and underscore the need for functional analyses coupled to epigenetic assessments.

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