Genetic variants associated with coronary artery disease in Indians
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PROVIDER: PRJNA429566 | ENA |
REPOSITORIES: ENA
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Project description:Genetic variations were successfully associated among patients with coronary artery disease using Illumina Cardiometabochip containing 1,96,725 SNPs Illumina Cardio-metabochip is a custom designed SNP microarray containing 1,96,725 SNPs designed by several GWAS and consortia
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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. We performed ATAC-seq, ChIP-seq, and RNA-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). For ATAC-seq and RNA-seq we performed stimulations with growth factors (TGF-B1, PDGF-BB, PDGF-DD) versus serum-free control. We conducted two biological replicates for each condition using independent donors. For ATAC-seq experiments, sequencing was completed on an Illumina Hiseq 2500, paired-end 50bp reads. For ChIP-seq we performed immunoprecipitations using H3K27ac (Abcam ab4729). We conducted two biological replicates using HCASMC from independent donors, and also did an IgG control for these studies. For RNA-seq we also conducted two replicates using HCASMC from independent donors. For both ChIP-seq and RNA-seq experiments, sequencing was completed on an Illumina HiSeq 2500, paired-end 100bp reads. We also performed ex-vivo ATAC-seq on frozen tissues (isolated media) from normal and atherosclerotic human coronary arteries, using three independent donors for each. Sequencing was also completed on an Illumina HiSeq 2500, paired end 50bp reads.
2016-07-06 | E-GEOD-72696 | biostudies-arrayexpress
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.
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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.
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Project description:We aimed to clarify the possible functional role of hsa_circ_0000563 in coronary artery disease. Therefore, the ChIRP-MS was conducted to explore the interaction between BTBD7_hsa_circ_0000563 and proteins on a genomic scale in human peripheral blood mononuclear cell (PBMC). This project is the raw files of the proteins bound to hsa_circ_0000563 found by ChIRP-MS in PBMC.
2023-03-11 | PXD033196 | Pride
Project description:Recent genome-wide association studies (GWAS) have identified gene variants associated with coronary artery disease including ADAMTS7, PHACTR1, KIAA1462/JCAD (Junctional Protein Associated with Coronary Artery Disease) and many others. JCAD has been identified as a novel component of endothelial cell-cell junctions (Akashi et al., 2011, BBRC) and regulates angiogenesis (Hara et al, ATVB, 2017). In our study, we observed that JCAD is a 148-KDa protein identified by mass spectrometry, but display a band shift to around 180-200 KDa, suggesting that JCAD is subject to multiple post-translatinonal modification. We also observed that JCAD well colocalized with adheren junction VE-cadherin, tight junction ZO-1 and desmosome junction plakoglobin (also known as gamma-catenin). However, the functional role of JCAD in endothelial function and the etiology of vascular disease remains unknown. In view of the critical role of junctional proteins in regulating endothelial function including vascular permeability, angiogenesis, and monocyte adhesion, we hypothesized that JCAD may play a crucial role in regulating endothelial function. To better understand the function of JCAD in endothelial cells, we performed RNA-sequencing based transcriptomic profiling in JCAD depleted (by transfection with by JCAD siRNA) human coronary artery endothelial cells, to identify critical genes and pathways associated with JCAD. We found that multiple atherosclerosis related genes and pathways are modulated by JCAD. Further studies are needed to characterize the biological function of JCAD in the pathogenesis of cardiometabolic diseases associated with endothelial dysfunction, such as diabetes, obesity, hypertension and atherosclerosis.
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