Post-operative atrial fibrillation examined using whole-genome RNA sequencing in human left atrial tissue
Sigurdsson, Martin I
Couper, Gregory S
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CitationSigurdsson, Martin I, Louis Saddic, Mahyar Heydarpour, Tzuu-Wang Chang, Prem Shekar, Sary Aranki, Gregory S Couper, Stanton K. Shernan, Jochen D. Muehlschlegel, and Simon C. Body. 2017. “Post-operative atrial fibrillation examined using whole-genome RNA sequencing in human left atrial tissue.” BMC Medical Genomics 10 (1): 25. doi:10.1186/s12920-017-0270-5. http://dx.doi.org/10.1186/s12920-017-0270-5.
AbstractBackground: Both 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. Methods: LA 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. Results: Comparison 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. Conclusions: The 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 registration ClinicalTrials.gov ID: NCT00833313, registered 5. January 2009 Electronic supplementary material The online version of this article (doi:10.1186/s12920-017-0270-5) contains supplementary material, which is available to authorized users.
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