2018
DOI: 10.1101/475483
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Interpreting coronary artery disease risk through gene-environment interactions in gene regulation

Abstract: GWAS and eQTL studies identified thousands of genetic variants associated with complex traits and gene expression. Despite the important role of environmental exposures in complex traits, only a limited number of environmental factors are measured in these studies. Measuring molecular phenotypes in tightly controlled cellular environments provides a more tractable setting to study geneenvironment interactions in the absence of other confounding variables.We performed RNA-seq and ATAC-seq in endothelial cells e… Show more

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Cited by 3 publications
(2 citation statements)
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“…This could reflect cell type specificity in response to stress, or the specificity of the cellular response to different stressors. Indeed, despite large gene expression changes in response to various stimulants in endothelial cells, there are a relatively small number of differentially accessible regions (Findley et al, 2019). We speculate that the transcriptional response to oxygen stress could result in the induction of transcription factors, which bind already accessible regions of open chromatin, and that cells are primed for a quick response to this universal cellular stress.…”
Section: Mechanisms Behind Response Genes and Dynamic Eqtlsmentioning
confidence: 91%
“…This could reflect cell type specificity in response to stress, or the specificity of the cellular response to different stressors. Indeed, despite large gene expression changes in response to various stimulants in endothelial cells, there are a relatively small number of differentially accessible regions (Findley et al, 2019). We speculate that the transcriptional response to oxygen stress could result in the induction of transcription factors, which bind already accessible regions of open chromatin, and that cells are primed for a quick response to this universal cellular stress.…”
Section: Mechanisms Behind Response Genes and Dynamic Eqtlsmentioning
confidence: 91%
“…While GxE interactions on human phenotype have been difficult to assess, GxE interactions in relation to gene expression have been studied under various contexts [8,[12][13][14][15][63][64][65]. Overlapping these effects with TF-eQTLs as in our analysis, or even performing TF-eQTL analysis in the environmental exposure datasets themselves, provides mechanistic hypotheses of how environmental effects impact genetic control of gene expression and phenotype.…”
Section: Discussionmentioning
confidence: 99%