Literature DB >> 19305639

A genotype-dependent intermediate ECG phenotype in patients with persistent lone atrial fibrillation genotype ECG-phenotype correlation in atrial fibrillation.

Daniela Husser1, Martin Stridh, Leif Sörnmo, Dan M Roden, Dawood Darbar, Andreas Bollmann.   

Abstract

BACKGROUND: Atrial fibrillation (AF) is heterogeneous at the clinical and molecular levels. Association studies have reported that common single-nucleotide polymorphisms in KCNE1 and SCN5A may predispose to AF. In this study, we tested the hypothesis that specific AF-associated genotypes confer variation on the appearance of AF assessed by analysis of fibrillatory rate of the atria. METHODS AND
RESULTS: Twenty-six nonrelated patients (21 males, mean age 55+/-12 years) with persistent lone AF (median AF duration 5 weeks) not taking class I or III antiarrhythmic drugs were studied. Fibrillatory rate was obtained by spatiotemporal QRST cancellation and time-frequency analysis of the index surface ECG. Genotypes at the AF-associated loci in KCNE1 (S38G) and SCN5A (H558R) were determined by direct DNA sequencing. The atrial fibrillatory rate was 418+/-50 fibrillations per minute (range, 336 to 521) in the study cohort. Carriers of the 38GG KCNE1 genotype (n=13) had significantly lower fibrillatory rates (392+/-36 versus 443+/-49 fibrillations per minute, P0.006) compared to those with GS or SS genotype (n=13). Six patients (23%) with fibrillatory rates >450 fibrillations per minute, all had either the GS or SS genotype (Chi2 P0.008). In contrast, both the heterozygeous and homozygeous SCN5A H558R polymorphism had no effect on fibrillatory rate. There were no significant associations between fibrillatory rate and clinical (age, gender, AF duration, drug treatment) or echocardiographic (left atrial diameter, left ventricular ejection fraction) variables. In multivariable regression analysis, the KCNE1 S38G genotype (SS/GS coded 0, GG coded 1) was the only independent predictor of fibrillatory rate (beta = -0.437, P = 0.006) with a SE of the estimate of 44 fibrillations per minute.
CONCLUSIONS: This study suggests that atrial fibrillatory rate obtained from the surface ECG is at least in part determined by KCNE1 (S38G) genotype, implying that this variant exerts functional effects on atrial electrophysiology. This intermediate ECG phenotype may be useful for elaborating genetic influences on AF mechanisms and identifying subsets of patients for variability in AF susceptibility or response to therapies.

Entities:  

Keywords:  Atrial fibrillation; ECG; gene variants

Mesh:

Substances:

Year:  2009        PMID: 19305639      PMCID: PMC2658819          DOI: 10.1161/CIRCEP.108.799098

Source DB:  PubMed          Journal:  Circ Arrhythm Electrophysiol        ISSN: 1941-3084


  20 in total

1.  Importance of left atrial diameter and atrial fibrillatory frequency for conversion of persistent atrial fibrillation with oral flecainide.

Authors:  Andreas Bollmann; Karl-Heinz Binias; Ines Toepffer; Jochen Molling; Christoph Geller; Helmut U Klein
Journal:  Am J Cardiol       Date:  2002-11-01       Impact factor: 2.778

2.  Epicardial right atrial free wall mapping in chronic atrial fibrillation. Documentation of repetitive activation with a focal spread--a hitherto unrecognised phenomenon in man.

Authors:  M Holm; R Johansson; J Brandt; C Lührs; S B Olsson
Journal:  Eur Heart J       Date:  1997-02       Impact factor: 29.983

3.  Effects of angiotensin-converting enzyme inhibition on the development of the atrial fibrillation substrate in dogs with ventricular tachypacing-induced congestive heart failure.

Authors:  D Li; K Shinagawa; L Pang; T K Leung; S Cardin; Z Wang; S Nattel
Journal:  Circulation       Date:  2001-11-20       Impact factor: 29.690

4.  Presence of left-to-right atrial frequency gradient in paroxysmal but not persistent atrial fibrillation in humans.

Authors:  Sorin Lazar; Sanjay Dixit; Francis E Marchlinski; David J Callans; Edward P Gerstenfeld
Journal:  Circulation       Date:  2004-11-08       Impact factor: 29.690

5.  Electrocardiographic characteristics of fibrillatory waves in new-onset atrial fibrillation.

Authors:  Daniela Husser; David S Cannom; Anil K Bhandari; Martin Stridh; Leif Sörnmo; S Bertil Olsson; Andreas Bollmann
Journal:  Europace       Date:  2007-04-30       Impact factor: 5.214

6.  Dynamic electrophysiological behavior of human atria during paroxysmal atrial fibrillation.

Authors:  A Capucci; M Biffi; G Boriani; F Ravelli; G Nollo; P Sabbatani; C Orsi; B Magnani
Journal:  Circulation       Date:  1995-09-01       Impact factor: 29.690

7.  Atrial fibrillatory wave characteristics on surface electrogram: ECG to ECG repeatability over twenty-four hours in clinically stable patients.

Authors:  Qin Xi; Alan V Sahakian; Jason Ng; Steven Swiryn
Journal:  J Cardiovasc Electrophysiol       Date:  2004-08

8.  Association of human connexin40 gene polymorphisms with atrial vulnerability as a risk factor for idiopathic atrial fibrillation.

Authors:  Mehran Firouzi; Hemanth Ramanna; Bart Kok; Habo J Jongsma; Bobby P C Koeleman; Pieter A Doevendans; W Antoinette Groenewegen; Richard N W Hauer
Journal:  Circ Res       Date:  2004-08-05       Impact factor: 17.367

9.  A ubiquitous splice variant and a common polymorphism affect heterologous expression of recombinant human SCN5A heart sodium channels.

Authors:  Jonathan C Makielski; Bin Ye; Carmen R Valdivia; Matthew D Pagel; Jielin Pu; David J Tester; Michael J Ackerman
Journal:  Circ Res       Date:  2003-09-18       Impact factor: 17.367

10.  Echocardiographic and electrocardiographic predictors for atrial fibrillation recurrence following cardioversion.

Authors:  Andreas Bollmann; Daniela Husser; Reiko Steinert; Martin Stridh; Leif Soernmo; S Bertil Olsson; Daniela Polywka; Jochen Molling; Christoph Geller; Helmut U Klein
Journal:  J Cardiovasc Electrophysiol       Date:  2003-10
View more
  7 in total

Review 1.  Arrhythmia pharmacogenomics: methodological considerations.

Authors:  Dan M Roden; Prince J Kannankeri; Dawood Darbar
Journal:  Curr Pharm Des       Date:  2009       Impact factor: 3.116

Review 2.  Lone AF - Etiologic Factors and Genetic Insights into Pathophysiolgy.

Authors:  Babar Parvez; Dawood Darbar
Journal:  J Atr Fibrillation       Date:  2010-06-01

Review 3.  KCNE1 and KCNE3: The yin and yang of voltage-gated K(+) channel regulation.

Authors:  Geoffrey W Abbott
Journal:  Gene       Date:  2015-09-26       Impact factor: 3.688

4.  N-terminal arginines modulate plasma-membrane localization of Kv7.1/KCNE1 channel complexes.

Authors:  Zenawit Girmatsion; Peter Biliczki; Ina Takac; Christin Schwerthelm; Stefan H Hohnloser; Joachim R Ehrlich
Journal:  PLoS One       Date:  2011-11-04       Impact factor: 3.240

5.  Allelic Complexity in Long QT Syndrome: A Family-Case Study.

Authors:  Alberto Zullo; Giulia Frisso; Nicola Detta; Berardo Sarubbi; Emanuele Romeo; Angela Cordella; Carlos G Vanoye; Raffaele Calabrò; Alfred L George; Francesco Salvatore
Journal:  Int J Mol Sci       Date:  2017-07-27       Impact factor: 5.923

6.  Mutational analysis of SCN5A gene in long QT syndrome.

Authors:  Sameera Fatima Qureshi; Altaf Ali; Princy John; Amol P Jadhav; Ananthapur Venkateshwari; Hygriv Rao; M P Jayakrishnan; Calambur Narasimhan; Jayaprakash Shenthar; Kumarasamy Thangaraj; Pratibha Nallari
Journal:  Meta Gene       Date:  2015-09-02

Review 7.  Arrhythmogenic KCNE gene variants: current knowledge and future challenges.

Authors:  Shawn M Crump; Geoffrey W Abbott
Journal:  Front Genet       Date:  2014-01-24       Impact factor: 4.599

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.