The genetic control of left atrial gene expression determined by RNA sequencing
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE69890 | GEO | 2015/06/16
SECONDARY ACCESSION(S): PRJNA287031
REPOSITORIES: GEO
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Project description:Purpose: Genome wide association studies (GWAS) have identified 14 loci for atrial fibrillation, but the mechanisms responsible for these associations as well as the causal genetic variants remain enigmatic. Genetic variants altering expression levels of nearby genes is one such plausible mechanism. Methods: We performed polyA+ RNA sequencing of left atrial appendages from a biracial cohort of 265 subjects. Approximately 50 million read fragments mapped to the transcriptome using TopHat aligner to hg19 and fragments counted against Ensembl 71 reference transcriptome with htseq. We also obtained genotypes using Illumina Hap550v3 and Hap610-quad SNP microarrays. Genotypes were then imputed to 1000 Genomes using IMPUTE. Expression surrogate variables were calculated using the R package sva and used as covariates in a genome-wide eQTL scan. Provision of raw data for this study, even to dbGaP, was not permitted per the study IRB. Therefore, raw data are not available for this study.
2015-06-16 | E-GEOD-69890 | biostudies-arrayexpress
Project description:This study will report the incidence of atrial fibrillation after elective colorectal cancer resection in the over 65 age group. This will be used to validate a risk model for the development of post-operative atrial fibrillation.
Eligible patients will undergo electrocardiogram based screening for atrial fibrillation, as well as brain natriuretic peptide tests prior to surgery. They will undergo 24 hour holter monitor prior to surgery, and at 30 and 90 days following surgery.
The primary outcome will be occurrence of atrial fibrillation within 90 days of surgery. Secondary outcomes include quality of life change, use of hospital services for atrial fibrillation, and complications of atrial fibrillation. This will be used to validate the pre-existing model for prediction of atrial fibrillation.
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Project description:Atrial fibrillation (AF) is the most common sustained arrhythmia with increased risk of stroke and congestive heart failure. AF is a highly genetic heterogeneous disease, but a large proportion of AF cannot be explained by genetic variants only. Some risk factors of AF, tendentious heritable phenomenon, potentially reversible conditions and some subtypes without DNA sequence variation all indicate the participation of DNA methylation in the pathogenesis of AF. Bisulphite converted DNA from the 11 left atrium samples were hybridised to the Illumina Infinium 450k Human Methylation Beadchip GPL13534
2014-10-28 | E-GEOD-62727 | biostudies-arrayexpress
Project description:Analysis for early diagnosis of atrial fibrillation by finding changes in miRNA in the urine of patients with atrial fibrillation
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Project description:Atrial fibrillation (AF) is the most common heart arrhythmia disease. The greatest risk of atrial fibrillation is stroke, and stroke caused by valvular heart disease with atrial fibrillation (AF-VHD) is more serious. the development mechanism from VHD to AF-VHD is not yet clear. The research on expression profiles of lncRNA and mRNA is helpful to explore molecular mechanism in patients with valvular heart disease who develop atrial fibrillation.
2018-04-12 | GSE113013 | GEO
Project description:Atrial fibrillation (AF) is the most common sustained arrhythmia with increased risk of stroke and congestive heart failure. AF is a highly genetic heterogeneous disease, but a large proportion of AF cannot be explained by genetic variants only. Some risk factors of AF, tendentious heritable phenomenon, potentially reversible conditions and some subtypes without DNA sequence variation all indicate the participation of DNA methylation in the pathogenesis of AF.
2014-10-28 | GSE62727 | GEO
Project description:Atrial fibrillation (AF) is the most common abnormality of heart rhythm and is a leading cause of heart failure and stroke. This large-scale meta-analysis of genome-wide association studies (GWAS) increased the power to detect single-nucleotide variant (SNV) associations, and we report more than 350 AF-associated genetic loci. At 139 loci we identified candidate genes related to muscle contractility, cardiac muscle development and cell-cell communication. We next assayed chromatin accessibility by ATAC-seq and histone H3 Lysine 4 trimethylation in stem cell derived atrial cardiomyocytes. We observed a marked increase in chromatin accessibility of our sentinel variants and prioritized genes in atrial cardiomyocytes. Finally, we found that a polygenic risk score (PRS) based on our updated effect estimates improved AF risk prediction compared to the CHARGE-AF clinical risk score and a previously reported PRS for AF. The doubling of known AF risk loci will facilitate a greater understanding of the pathways underlying this heart rhythm disorder.
2024-02-08 | GSE225293 | GEO
Project description:Regional differential expression of atrial fibrillation risk genes in the left atrium and pulmonary veins is not well studied, but may yield insights into atrial fibrillation pathogenesis. We tested the hypothesis that there is significant regional differential expression in left atrium structures. RNAseq was performed in 25 regions within the pulmonary veins (n=12), left atrial body (n=10), and left atrial appendage (n=3) from a 75 year old male with hypertension and atrial fibrillation who died of a stroke. These data show that genes involved in atrial fibrillation pathogenesis have substantial regional expression heterogeneity, particularly when comparing the left atrial body, pulmonary veins and left atrial appendage.
2020-11-14 | GSE161450 | GEO
Project description:To identify pathway and mechanism undergoing post operative atrial fibrillation, we check transcriptomic expression of patients with and without post operative atrial fibrillation development and compare up and down regulated genes and their pathways. Right atrial appendage were obtained from patients undergoing cardiac surgery.
2017-10-30 | GSE62871 | GEO
Project description:GSE2240 contains two different experimental subsets: 1) Comparison of atrial and ventricular gene expression (atrial tissue of patients with sinus rhythm vs. human left ventricular non-failing myocardium) The purpose of our investigation was to identify the transcriptional basis for ultrastructural and functional specialization of human atria and ventricles. Using exploratory microarray analysis (Affymetrix U133A+B), we detected 11,740 transcripts expressed in human heart, representing the most comprehensive report of the human myocardial transcriptome to date. Variation in gene expression between atria and ventricles accounted for the largest differences in this data set, as 3.300 and 2.974 transcripts showed higher expression in atria and ventricles, respectively. Functional classification based on Gene Ontology identified chamber-specific patterns of gene expression and provided molecular insights into the regional specialization of cardiomyocytes, correlating important functional pathways to transcriptional activity: Ventricular myocytes preferentially express genes satisfying contractile and energetic requirements, while atrial myocytes exhibit specific transcriptional activities related to neurohumoral function. In addition, several pro-fibrotic and apoptotic pathways were concentrated in atrial myocardium, substantiating the higher susceptibility of atria to programmed cell death and extracellular matrix remodelling observed in human and experimental animal models of heart failure. Differences in transcriptional profiles of atrial and ventricular myocardium thus provide molecular insights into myocardial cell diversity and distinct region-specific adaptations to physiological and pathophysiological conditions (Barth AS et al., Eur J Physiol, 2005). 2) Comparison of atrial gene expression in patients with permanent atrial fibrillation and sinus rhythm. Atrial fibrillation is associated with increased expression of ventricular myosin isoforms in atrial myocardium, regarded as part of a dedifferentiation process. Whether re-expression of ventricular isoforms in atrial fibrillation is restricted to transcripts encoding for contractile proteins is unknown. Therefore, this study compares atrial mRNA expression in patients with permanent atrial fibrillation to atrial mRNA expression of patients with sinus rhythm as well as to ventricular gene expression using Affymetrix U133 arrays. In atrial myocardium, we identified 1.434 genes deregulated in atrial fibrillation, the majority of which, including key elements of calcium-dependent signaling pathways, displayed down-regulation. Functional classification based on Gene Ontology provided the specific gene sets of the interdependent processes of structural, contractile and electrophysiological remodeling. In addition, we demonstrate for the first time a prominent up-regulation of transcripts involved in metabolic activities, suggesting an adaptive response to an increased metabolic demand in fibrillating atrial myocardium. Ventricular-predominant genes were five times more likely to be up-regulated in atrial fibrillation (174 genes up-regulated, 35 genes down-regulated), while atrial-specific transcripts were predominantly down-regulated (56 genes up-regulated, 564 genes down-regulated). Overall, in atrial myocardium, functional classes of genes characteristic of ventricular myocardium were found to be up-regulated (e.g. metabolic processes) while functional classes predominantly expressed in atrial myocardium were down-regulated in atrial fibrillation (e.g. signal transduction and cell communication). Therefore, dedifferentiation with adoption of a ventricular-like signature is a general feature of the fibrillating atrium, uncovering the transcriptional response pattern in pmAF (Barth AS et al., Circ Res, 2005). Keywords = human myocardium Keywords = atrial fibrillation Keywords = sinus rhythm Keywords = left ventricular gene expression Keywords: other
2005-05-13 | GSE2240 | GEO