Multi-ancestry genetic analysis of gene regulation in coronary artery prioritizes disease risk loci
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE225650 | GEO | 2023/11/14
REPOSITORIES: GEO
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Project description:Coronary artery disease (CAD) is the leading cause of death globally. Genome-wide association studies (GWAS) have identified more than 130 independent loci that influence CAD risk, most of which reside in non-coding regions of the genome. To interpret these loci, we generated transcriptome and whole-genome datasets using human coronary artery smooth muscle cells (HCASMC) from 52 unrelated donors, as well as ATAC-seq epigenomic datasets on a subset of 8 donors. Through systematic comparison with publicly available datasets from GTEx and ENCODE projects, we identify transcriptomic, epigenetic, and genetic regulatory mechanisms specific to HCASMC. We validate the relevance of HCASMC to CAD risk using transcriptomic and epigenomic level analyses. By jointly modeling eQTL and GWAS datasets, we identified five genes (SIPA1, TCF21, SMAD3, FES, and PDGFRA) that modulate CAD risk through HCASMC, all of which have biologically relevant functional roles in vascular remodeling. Comparison with GTEx data suggests that SIPA1 appears to influence CAD risk predominantly through HCASMC, while other annotated genes may have multiple cell targets. Together, these results provide new biological insights into the regulation of a critical vascular cell type associated with CAD in human populations.
2018-08-09 | GSE113348 | GEO
Project description:Coronary artery disease (CAD) is a complex inflammatory disease of the vessel wall and often leads to myocardial infarction. Genome-wide association studies (GWAS) have now identified over 200 genetic loci associated with CAD. The majority of CAD-associated variants are located in noncoding regions of the genome, many of which are predicted to regulate chromatin accessibility and gene expression. In this study, we performed ATAC-seq in human coronary artery patient samples to identify novel chromatin accessibility QTLs (caQTLs) and gain additional insights into CAD regulatory mechanisms in vivo.
2022-01-24 | GSE188422 | GEO
Project description:Coronary artery disease (CAD) is the most common cardiovascular disease and the leading cause of death worldwide. To date, the 9p21.3 locus is the most robust and frequently replicated risk locus of CAD among >90 CAD risk loci identified by GWAS. More than 50 CAD-associated genomic variants were identified at the 9p21.3 CAD locus and many of them are located within a long non-coding gene ANRIL, which was initially referred to as Antisense Non-coding RNA in INK4 Locus. The causal role of ANRIL in CAD and the underlying molecular mechanism are unknown. We used gene expression microarray to identify the downstream target genes of ANRIL and to explore molecular mechanisms by which ANRIL might contribute to the risk development of CAD.
2019-01-16 | GSE117676 | GEO
Project description:Coronary artery disease (CAD) is a complex inflammatory disease involving genetic influences across several cell types. Genome-wide association studies (GWAS) have identified over 170 loci associated with CAD, where the majority of risk variants reside in noncoding DNA sequences impacting cis-regulatory elements (CREs). Here, we applied single-cell ATAC-seq to profile 28,316 cells across coronary artery segments from 41 patients with varying stages of CAD, which revealed 14 distinct cellular clusters. We mapped ~320,000 accessible sites across all cells, identified cell type-specific elements, transcription factors, and prioritized functional CAD risk variants via quantitative trait locus and sequence-based predictive modeling. We identified a number of candidate mechanisms for smooth muscle cell transition states and identified putative binding sites for risk variants. We further employed CRE to gene linkage to nominate disease-associated key driver transcription factors such as PRDM16 and TBX2. This single cell atlas provides a critical step towards interpreting cis-regulatory mechanisms in the vessel wall across the continuum of CAD risk.
2021-12-14 | GSE175621 | GEO
Project description:Population-based association studies have identified many genetic risk loci for coronary artery disease (CAD), but it is often unclear how genes within these loci are linked to CAD. Here, we performed interaction proteomics for 11 CAD-risk genes to map their protein-protein interactions (PPIs) in human vascular cells and elucidate their biological relevance in CAD pathogenesis. The PPI networks contain many protein interactions that are outside of known biology in the vasculature and are enriched for genes involved in immunity-related and arterial-wall-specific mechanisms. Furthermore, several PPI networks derived from smooth muscle cells are significantly enriched for genetic variants associated with CAD and related vascular phenotypes. Finally, our networks identified 61 genes that are found in genetic loci associated with risk of CAD, prioritizing them as the causal candidates within these loci. Together, our results indicate that the PPI networks we have generated are a rich resource for guiding future research into the molecular pathogenesis of CAD.
2023-02-27 | MSV000091373 | MassIVE
Project description:Coronary artery disease (CAD) is the leading cause of mortality and morbidity driven by both genetic and environmental risk factors. Meta-analyses of genome-wide association studies (GWAS) have identified multiple single nucleotide polymorphisms (SNPs) associated with CAD and myocardial infarction (MI) susceptibility in multi-ethnic populations. The majority of these variants reside in non-coding regulatory regions and are co-inherited with hundreds of candidate regulatory SNPs. Herein, we use integrative genomic, epigenomic, and transcriptomic fine-mapping in human coronary artery smooth muscle cells (HCASMC) and tissues to identify causal regulatory variation and mechanisms responsible for CAD associations. Using these genome-wide maps we prioritize 65 candidate variants and perform allele-specific binding and expression analyses on 7 top candidates. We validate our findings in two independent cohorts of diseased human arterial expression quantitative trait loci (eQTL), which together demonstrate fundamental links between CAD associations and regulatory function in the appropriate disease context.
2016-07-06 | GSE72696 | GEO
Project description:Genome-wide association studies (GWAS) have identified hundreds of loci associated with vascular diseases such as coronary artery disease (CAD) and myocardial infarction (MI), and hypertension. However, the biological roles for many of these loci enriched in the vessel wall remains unknown. Among these, UFL1-FHL5 (chr6q16.1) emerged as a genome-wide significant locus in a recent CAD/MI meta-analysis. Here, we use an integrative approach leveraging human genetics, epigenomic profiling, and in vitro functional and ex vivo imaging analyses to prioritize FHL5 as the top candidate causal gene and reveal the molecular mechanisms of its pleiotropic genetic associations. Notably, FHL5 overexpression in coronary artery smooth muscle cells (SMC) increased vascular calcification and dysregulated processes related to extracellular matrix organization and calcium handling. Lastly, by mapping FHL5 binding sites genome-wide using CUT&RUN, we identified regulatory interactions with downstream disease loci having putative roles in SMC phenotypic modulation. Together, these trans-acting mechanisms may account for a portion of the heritable risk for CAD/MI and other complex vascular diseases.
2022-10-31 | GSE201571 | GEO
Project description:Genome-wide association studies (GWAS) have identified hundreds of loci associated with vascular diseases such as coronary artery disease (CAD) and myocardial infarction (MI), and hypertension. However, the biological roles for many of these loci enriched in the vessel wall remains unknown. Among these, UFL1-FHL5 (chr6q16.1) emerged as a genome-wide significant locus in a recent CAD/MI meta-analysis. Here, we use an integrative approach leveraging human genetics, epigenomic profiling, and in vitro functional and ex vivo imaging analyses to prioritize FHL5 as the top candidate causal gene and reveal the molecular mechanisms of its pleiotropic genetic associations. Notably, FHL5 overexpression in coronary artery smooth muscle cells (SMC) increased vascular calcification and dysregulated processes related to extracellular matrix organization and calcium handling. Lastly, by mapping FHL5 binding sites genome-wide using CUT&RUN, we identified regulatory interactions with downstream disease loci having putative roles in SMC phenotypic modulation. Together, these trans-acting mechanisms may account for a portion of the heritable risk for CAD/MI and other complex vascular diseases.
2022-10-31 | GSE201570 | GEO
Project description:Recent meta-analyses of genome wide association studies (GWAS) have identified approximately 150 loci that are associated with coronary artery disease (CAD). To link the causal genes in these loci to functional transcriptional networks, we have used chromatin immunoprecipitation sequencing (ChIP-Seq) with human coronary artery smooth muscle cells (HCASMC) to investigate the cellular and molecular program downstream of one CAD associated transcription factor, TCF21. Analysis of the TCF21 downstream target genes for enrichment of molecular and cellular annotation terms identified processes relevant to CAD pathophysiology, including growth factor binding (PDGF, VEGF), matrix interactions (“integrin binding,” “cell adhesion”), and smooth muscle contraction (“actin filament-based processes,” “actin cytoskeleton”). Motif searches of peak sequences confirmed the canonical E-box CAGCTG as the likely binding sequence for TCF21, but also identified bZip motifs that coordinate binding of AP1 family transcription factors. Follow-up ChIP-Seq studies verified enriched binding of bZip factors JUN and JUND to TCF21 target loci. Importantly, analysis of the representation of CAD genes among TCF21 target loci showed highly significant enrichment. Further, expression quantitative trait variation mapped to target genes of TCF21 were significantly enriched among variants with low P-values in the GWAS analyses, and single nucleotide polymorphisms within TCF21 peaks were shown to be in linkage disequilibrium with CAD-associated SNPs, suggesting a functional interaction between TCF21 binding and causal variants in other CAD disease loci. Thus, data and analyses presented here provide evidence for a transcriptional regulatory network that links TCF21 function in smooth muscle cells with a number of other CAD-associated genes, and suggest that study of GWAS transcription factors may be a highly useful approach to identifying disease gene interactions and thus pathways that may be relevant to complex disease etiology. We did ChIP-Seq on human coronary artery smooth muscle cells grown in SmGM-2 Smooth Muscle Growth Medium-2 including hEGF, insulin, hFGF-B and FBS, but without antibiotics (Lonza, #CC-3182. We did immunoprecipitations with two antibodies (Sigma HPA013189 and Abcam 49475). We conducted two biological replicates for each antibody, and also did an IgG control for these studies. For these experiments, sequencing was done on an Illumina GAII, single end reads. In separate set of experiments we performed ChIP-Seq for JUN (Ab sc-1694) and JUND (Ab sc-74) with the same HCASMC cells under the same culture conditions. For these studies we did one replicate for each antibody, and also included an IgG control. Sequencing for the JUN and JUND studies was paired ends, on an Illumina HiSeq machine.
2015-04-12 | E-GEOD-61369 | biostudies-arrayexpress
Project description:Zhu QM, Hsu YH, Lassen FH, MacDonald BT, Stead S, Malolepsza E, Kim A, Li T, Mizoguchi T, Schenone M, Guzman G,Tanenbaum B, Fornelos N, Carr SA, Gupta RM, Ellinor PT, Lage K.
Population-based association studies have identified many genetic risk loci for coronary artery disease (CAD), but it is often unclear how genes within these loci are linked to CAD. Here, we performed interaction proteomics for 11 CAD-risk genes to map their protein-protein interactions (PPIs) in human vascular cells and elucidate their biological relevance in CAD pathogenesis. The PPI networks contain many protein interactions that are outside of known biology in the vasculature and are enriched for genes involved in immunity-related and arterial-wall-specific mechanisms. Furthermore, several PPI networks derived from smooth muscle cells are significantly enriched for genetic variants associated with CAD and related vascular phenotypes. Finally, our networks identified 61 genes that are found in genetic loci associated with risk of CAD, prioritizing them as the causal candidates within these loci. Together, our results indicate that the PPI networks we have generated are a rich resource for guiding future research into the molecular pathogenesis of CAD.
2023-04-12 | MSV000091699 | MassIVE