Abstract

BackgroundGenome-wide association studies have identified many single nucleotide polymorphisms (SNPs) associated with increased risk for intracranial aneurysm (IA). However, how such variants affect gene expression within IA is poorly understood. We used publicly-available ChIP-Seq data to study chromatin landscapes surrounding risk loci to determine whether IA-associated SNPs affect functional elements that regulate gene expression in cell types comprising IA tissue.MethodsWe mapped 16 significant IA-associated SNPs to linkage disequilibrium (LD) blocks within human genome. Using ChIP-Seq data, we examined these regions for presence of H3K4me1, H3K27ac, and H3K9ac histone marks (typically associated with latent/active enhancers). This analysis was conducted in several cell types that are present in IA tissue (endothelial cells, smooth muscle cells, fibroblasts, macrophages, monocytes, neutrophils, T cells, B cells, NK cells). In cell types with significant histone enrichment, we used HiC data to investigate topologically associated domains (TADs) encompassing the LD blocks to identify genes that may be affected by IA-associated variants. Bioinformatics were performed to determine the biological significance of these genes. Genes within HiC-defined TADs were also compared to differentially expressed genes from RNA-seq/microarray studies of IA tissues.ResultsWe found that endothelial cells and fibroblasts, rather than smooth muscle or immune cells, have significant enrichment for enhancer marks on IA risk haplotypes (p < 0.05). Bioinformatics demonstrated that genes within TADs subsuming these regions are associated with structural extracellular matrix components and enzymatic activity. The majority of histone marked TADs (83% fibroblasts [IMR90], 77% HUVEC) encompassed at least one differentially expressed gene from IA tissue studies.ConclusionsThese findings provide evidence that genetic variants associated with IA risk act on endothelial cells and fibroblasts. There is strong circumstantial evidence that this may be mediated through altered enhancer function, as genes in TADs encompassing enhancer marks have also been shown to be differentially expressed in IA tissue. These genes are largely related to organization and regulation of the extracellular matrix. This study builds upon our previous (Poppenberg et al., BMC Med Genomics, 2019) by including a more diverse set of data from additional cell types and by identifying potential affected genes (i.e. those in TADs).

Highlights

  • Genome-wide association studies have identified many single nucleotide polymorphisms (SNPs) associated with increased risk for intracranial aneurysm (IA)

  • Histone marks for enhancers are significantly enriched in endothelial cells and fibroblasts We investigated epigenetic features associated with enhancer function in the linkage disequilibrium (LD) blocks for a variety of cell types known to be present in the aneurysmal tissue (B cells, Endothelial cell (EC), fibroblasts, macrophages, monocytes, Natural killer (NK) cells, neutrophils, Smooth muscle cell (SMC), T cells) using data from the Cistrome browser

  • In Human umbilical vein endothelial cell (HUVEC), we found 12 differentially expressed genes identified in IA tissue studies that were present within topologically associated domain (TAD) encompassing IA haplotypes, four of which were reported in multiple studies (COL1A2, COL3A1, COL5A2, VCAN)

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Summary

Introduction

Genome-wide association studies have identified many single nucleotide polymorphisms (SNPs) associated with increased risk for intracranial aneurysm (IA). How such variants affect gene expression within IA is poorly understood. In studying genetic risk for IA, genome-wide association studies (GWAS) have identified many aneurysm-associated single nucleotide polymorphisms (SNPs) [4,5,6,7,8,9,10,11,12], the most significant existing at 2q32.1 (PLCL1) [12], 8q11.23–q12.1 (SOX17) [12], 9p21.3 (CDKN2A-CDKN2B) [12], 18q11.2 (RBBP8) [10], 13q13.1 (STARD13) [10], and 10q24.32.12 [10]. One way to gain insight into mechanisms through which genetic variants associated with IA exert risk is to examine the chromatin structures across the entire haplotypes

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