CAV1-A Susceptibility Gene for Atrial Fibrillation: The Impact of Coding and Noncoding Variants.

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Atrial fibrillation (AF) is the most common sustained cardiac arrhythmia with a strong genetic predisposition. Genome-wide association studies have highlighted CAV1 (caveolin 1), a caveolar protein involved in various signaling pathways, as a candidate for cardiac conduction disorders. We explored the role of CAV1 in AF in various models to dissect possible disease mechanisms. First, CAV1 expression was examined together with the AF risk gene SHOX2 in a porcine model of induced AF. Then we screened a cohort of 282 patients with early-onset AF to identify genetic variants within CAV1 and found 1 coding and 5 noncoding variants. The coding variant was functionally investigated in zebrafish, and a comprehensive analysis panel was applied to investigate the noncoding variants. In the porcine AF model, CAV1 and SHOX2 were significantly downregulated in the right atrium and atrioventricular node. Cardiac-specific overexpression of the coding variant in zebrafish increased heart rate and caused fibrillatory waves and loss of the PR interval, supporting a pathogenic effect. Four of the 5 novel identified noncoding variants showed an association with AF and PR interval in published data sets, including 1 with genome-wide significance. The noncoding variants localized to binding sites of transcription factors EOMES, RFX5, TEAD4 and MAX. Luciferase reporter gene assays demonstrated that 3 variants significantly altered the ability of those transcription factors to activate reporter gene expression. This work underscores CAV1 as an AF susceptibility gene and highlights the critical role of coding and noncoding variants in AF disease mechanisms.

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  • Circulation
  • Sean J Jurgens + 13 more

Introduction: Atrial fibrillation (AF) is the most common sustained arrhythmia and is associated with substantial morbidity and mortality. AF is known to have a heritable component, with >100 associated common variant loci. Rare variant studies have yielded limited robust associations for AF. We aimed to utilize large genome and exome sequencing data to discover rare genetic variants conferring large effects on AF risk. Methods: We meta-analyzed genome and exome sequencing data from 36 studies, including TOPMed, CCDG, UK Biobank and FOURIER. We performed exome-wide gene burden testing of rare (MAF<0.1%) loss-of-function and deleterious missense variants, and single variant testing of low-frequency and rare (MAF<1%) coding variants. Within genome sequenced samples, we performed gene burden testing of rare structural variants. Novel signals were replicated in MyCode. Finally, we functionally validated a novel gene by siRNA knockdown in pluripotent-induced atrial cardiomyocytes. Results: We included 52,416 AF cases and 277,762 controls, of which 49.6% were female, 83.4% were of European ancestry, and the mean baseline age was 56 years. In analysis of rare coding variation, we identified 4 novel genes associated with AF, including MYBPC3 (OR 3.5, P =2.1x10 -15 ), LMNA (OR 5.7, P =8.8x10 -11 ), PKP2 (OR 1.9, P =5.2x10 -8 ) and KDM5B (OR 2.3, P =3.0x10 -6 ). These signals were robust to removal of heart failure and cardiomyopathy cases and were replicated in independent datasets. Single variant analysis identified 2 novel signals in FAM189A2 (OR 3.9, P =7.86x10 -8 ) and ZFC3H1 (OR 5.9, P =9.7x10 -8 ). Rare deletions in CTNNA3 (OR 4.5, P =7.0x10 -9 ) were associated with increased AF risk and were supported by independent coding variant analyses, while duplications of GATA4 (OR 0.24, P =2.1x10 -5 ) were associated with reduced AF risk. In functional studies, knockdown of KDM5B resulted in shortening of the atrial action potential duration. Conclusions: Our analyses show the contribution of rare coding and structural variants to AF risk, highlight the shared genetic pathways underlying cardiomyopathy and AF, and implicate the histone demethylase gene KDM5B in AF susceptibility. In sum, we expanded our understanding of the rare variant architecture of this common arrhythmia.

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Mounting Evidence That Fibrosis Generates a Major Mechanism for Atrial Fibrillation
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Most sequence variants identified hitherto in genome-wide association studies (GWAS) of atrial fibrillation are common, non-coding variants associated with risk through unknown mechanisms. We performed a meta-analysis of GWAS of atrial fibrillation among 29,502 cases and 767,760 controls from Iceland and the UK Biobank with follow-up in samples from Norway and the US, focusing on low-frequency coding and splice variants aiming to identify causal genes. We observe associations with one missense (OR = 1.20) and one splice-donor variant (OR = 1.50) in RPL3L, the first ribosomal gene implicated in atrial fibrillation to our knowledge. Analysis of 167 RNA samples from the right atrium reveals that the splice-donor variant in RPL3L results in exon skipping. We also observe an association with a missense variant in MYZAP (OR = 1.38), encoding a component of the intercalated discs of cardiomyocytes. Both discoveries emphasize the close relationship between the mechanical and electrical function of the heart.

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Sex Differences in Cardiac Arrhythmias: Clinical and Research Implications.
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Sex differences have the potential to impact diagnostic and therapeutic interventions in a wide variety of medical conditions, and cardiac arrhythmias are no exception.1 Studies evaluating pathophysiology, disease course, and therapeutic options for cardiac arrhythmias have been performed predominantly in male patients. However, catheter and device-based therapies coupled with landmark clinical trials have contributed to an improved understanding of this important aspect. The objective of this review is to present the current state of knowledge on sex differences in cardiac arrhythmias with a focus on clinical management, while highlighting gaps in knowledge that would benefit from future investigation. ### Atrial Fibrillation and Atrial Flutter #### Disease Burden Atrial fibrillation (AF) and atrial flutter (AFL) are the most commonly encountered tachyarrhythmias in clinical practice, with significant implications for public health and healthcare costs. Stroke, hospitalization, and loss of productivity are the major consequences of AF.2 The incidence of AF (per 1000 person-years) is reported to be between 1.6 and 2.7 in women and between 3.8 and 4.7 in men.2 The age-adjusted incidence and prevalence of AF is lower in women compared with that in men, and accordingly, the lifetime risk of AF from the Framingham Heart Study at 40 years of age was higher in men (26.0% for men versus 23.0% for women).3 Another analysis from the Framingham Heart Study demonstrated no significant sex differences in the risk of developing AFL.4 The prevalence of AF continues to rise among both men and women. In a study investigating the global burden of disease from 1980 to 2010, there was not only an increase in overall burden, incidence, and prevalence of AF, but most importantly an increase in AF-associated mortality in both men and women (Figure 1).5 The age-adjusted mortality for women was consistently higher compared with that for men from 1990 to 2010 (Figure …

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