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Title: Prenatal arsenic exposure and the epigenome: Identifying sites of 5-methyl cytosine alterations that predict functional changes in gene expression in newborn cord blood and subsequent birth outcomes      
dateReleased:
11-03-2014
description:
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 mothers 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 µg/L). Changes in iAs-associated DNA 5-methyl cytosine methylation were assessed across 424,935 CpG sites representing 18,761 genes and were compared to corresponding expression levels and birth outcomes. In the context of arsenic exposure, a total of 2,705 genes were identified with iAs-associated differences in DNA methylation. Site-specific analyzes identified DNA methylation changes that were most predictive of gene expression levels. Specifically, CpG methylation within CpG islands positioned within the first exon and 200bp 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 seven of these genes were associated with differences in birth outcomes including gestational age, placental weight and head circumference. These data highlight the complex interplay between DNA methylation and functional changes in gene expression and health outcomes and underscore the need for functional analyzes coupled to epigenetic assessments. 48 DNA methylation profiles were obtained but only 38 samples corresponding to samples also analyzed for gene expression (see Rager 2014) were further normalized and used in the publication from the Biomarkers of Arsenic (BEAR) cohort were analyzed for DNA methylation profiles.
privacy:
not applicable
aggregation:
instance of dataset
ID:
E-GEOD-62924
refinement:
raw
alternateIdentifiers:
62924
keywords:
functional genomics
dateModified:
11-08-2014
availability:
available
types:
gene expression
name:
Homo sapiens
ID:
A-GEOD-13534
name:
Illumina HumanMethylation450 BeadChip (HumanMethylation450_15017482_v.1.1)
accessURL: https://www.ebi.ac.uk/arrayexpress/files/E-GEOD-62924/E-GEOD-62924.raw.1.zip
storedIn:
ArrayExpress
qualifier:
gzip compressed
format:
TXT
accessType:
download
authentication:
none
authorization:
none
accessURL: https://www.ebi.ac.uk/arrayexpress/files/E-GEOD-62924/E-GEOD-62924.processed.1.zip
storedIn:
ArrayExpress
qualifier:
gzip compressed
format:
TXT
accessType:
download
authentication:
none
authorization:
none
accessURL: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE62924
storedIn:
Gene Expression Omnibus
qualifier:
not compressed
format:
HTML
accessType:
landing page
primary:
true
authentication:
none
authorization:
none
abbreviation:
EBI
homePage: http://www.ebi.ac.uk/
ID:
SCR:004727
name:
European Bioinformatics Institute
homePage: https://www.ebi.ac.uk/arrayexpress/
ID:
SCR:002964
name:
ArrayExpress
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