Trial reportBMC medical genomics2017
Post-operative atrial fibrillation examined using whole-genome RNA sequencing in human left atrial tissue.
Trial report in BMC medical genomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00833313 (Gene Expression Profiling in Subjects With Postoperative Atrial Fibrillation After Cardiac Surgery), which is not on this map. Cited by 12 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Gene Expression Profiling in Subjects With Postoperative Atrial Fibrillation After Cardiac Surgery (GENEXPRO Surg)
Who cites it
12 citing papers in PubMed, 21 citations in OpenAlex.
- Sex, Atrial Fibrillation, and Long-Term Mortality After Cardiac Surgery.JAMA network open · 2024Article
- Effect of Clinical and Genetic Factors on the Development of Postoperative Atrial Fibrillation After Coronary Artery Bypass Grafting (CABG) in Egyptian Patients Receiving Beta-Blockers.Cardiovascular drugs and therapy · 2024Article
- Review
- Genetic and non-genetic risk factors associated with atrial fibrillation.Life sciences · 2022Review
- Dynamic effects of genetic variation on gene expression revealed following hypoxic stress in cardiomyocytes.eLife · 2021Article
- DNA methylation patterns from peripheral blood separate coronary artery disease patients with and without heart failure.ESC heart failure · 2020Article
- Insight into atrial fibrillation through analysis of the coding transcriptome in humans.Biophysical reviews · 2020Review
- Inhibition of NaBasic research in cardiology · 2020Article
- Investigating gene-microRNA networks in atrial fibrillation patients with mitral valve regurgitation.PloS one · 2020Article
- Postoperative atrial fibrillation: mechanisms, manifestations and management.Nature reviews. Cardiology · 2019Review
- Proteomics and transcriptomics in atrial fibrillation.Herzschrittmachertherapie & Elektrophysiologie · 2018Review
- Using Gene Expression to Annotate Cardiovascular GWAS Loci.Frontiers in cardiovascular medicine · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundBoth ambulatory atrial fibrillation (AF) and post-operative AF (poAF) are associated with substantial morbidity and mortality. Analyzing the tissue-specific gene expression in the left atrium (LA) can identify novel genes associated with AF and further the understanding of the mechanism by which previously identified genetic variants associated with AF mediate their effects.
methodsLA free wall samples were obtained intraoperatively immediately prior to mitral valve surgery in 62 Caucasian individuals. Gene expression was quantified on mRNA harvested from these samples using RNA sequencing. An expression quantitative trait loci (eQTL) analysis was performed, comparing gene expression between different genotypes of 1.0 million genetic markers, emphasizing genomic regions and genes associated with AF.
resultsComparison of whole-genome expression between patients who later developed poAF and those who did not identified 23 differentially expressed genes. These included genes associated with the resting membrane potential modified by potassium currents, as well as genes within Wnt signaling and cyclic GMP metabolism. The eQTL analysis identified 16,139 cis eQTL relationships in the LA, including several involving genes and single nucleotide polymorphisms (SNPs) linked to AF. A previous relationship between rs3744029 and MYOZ1 expression was confirmed, and a novel relationship between rs6795970 and the expression of the SCN10A gene was identified.
conclusionsThe current study is the first analysis of the human LA expression landscape using high-throughput RNA sequencing. Several novel genes and variants likely involved in AF pathogenesis were identified, thus furthering the understanding of how variants associated with AF mediate their effects via altered gene expression.
trial registrationClinicalTrials.gov ID: NCT00833313 , registered 5. January 2009.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.