OBJECTIVES: The aim of this study was to evaluate the role of cardiac K(+) channel gene variants in families with atrial fibrillation (AF). BACKGROUND: The K(+) channels play a major role in atrial repolarization but single mutations in cardiac K(+) channel genes are infrequently present in AF families. The collective effect of background K(+) channel variants of varying prevalence and effect size on the atrial substrate for AF is largely unexplored. METHODS: Genes encoding the major cardiac K(+) channels were resequenced in 80 AF probands. Nonsynonymous coding sequence variants identified in AF probands were evaluated in 240 control subjects. Novel variants were characterized using patch-clamp techniques and in silico modeling was performed using the Courtemanche atrial cell model. RESULTS: Nineteen nonsynonymous variants in 9 genes were found, including 11 rare variants. Rare variants were more frequent in AF probands (18.8% vs. 4.2%, p < 0.001), and the mean number of variants was greater (0.21 vs. 0.04, p < 0.001). The majority of K(+) channel variants individually had modest functional effects. Modeling simulations to evaluate combinations of K(+) channel variants of varying population frequency indicated that simultaneous small perturbations of multiple current densities had nonlinear interactions and could result in substantial (>30 ms) shortening or lengthening of action potential duration as well as increased dispersion of repolarization. CONCLUSIONS: Families with AF show an excess of rare functional K(+) channel gene variants of varying phenotypic effect size that may contribute to an atrial arrhythmogenic substrate. Atrial cell modeling is a useful tool to assess epistatic interactions between multiple variants.
OBJECTIVES: The aim of this study was to evaluate the role of cardiac K(+) channel gene variants in families with atrial fibrillation (AF). BACKGROUND: The K(+) channels play a major role in atrial repolarization but single mutations in cardiac K(+) channel genes are infrequently present in AF families. The collective effect of background K(+) channel variants of varying prevalence and effect size on the atrial substrate for AF is largely unexplored. METHODS: Genes encoding the major cardiac K(+) channels were resequenced in 80 AF probands. Nonsynonymous coding sequence variants identified in AF probands were evaluated in 240 control subjects. Novel variants were characterized using patch-clamp techniques and in silico modeling was performed using the Courtemanche atrial cell model. RESULTS: Nineteen nonsynonymous variants in 9 genes were found, including 11 rare variants. Rare variants were more frequent in AF probands (18.8% vs. 4.2%, p < 0.001), and the mean number of variants was greater (0.21 vs. 0.04, p < 0.001). The majority of K(+) channel variants individually had modest functional effects. Modeling simulations to evaluate combinations of K(+) channel variants of varying population frequency indicated that simultaneous small perturbations of multiple current densities had nonlinear interactions and could result in substantial (>30 ms) shortening or lengthening of action potential duration as well as increased dispersion of repolarization. CONCLUSIONS: Families with AF show an excess of rare functional K(+) channel gene variants of varying phenotypic effect size that may contribute to an atrial arrhythmogenic substrate. Atrial cell modeling is a useful tool to assess epistatic interactions between multiple variants.
Authors: Anthony N DeMaria; Jeroen J Bax; Gregory K Feld; Barry H Greenberg; Jennifer L Hall; Mark A Hlatky; Wilbur Y W Lew; João A C Lima; Ehtisham Mahmud; Alan S Maisel; Sanjiv M Narayan; Steven E Nissen; David J Sahn; Sotirios Tsimikas Journal: J Am Coll Cardiol Date: 2013-01-22 Impact factor: 24.094
Authors: Arash Sadrieh; Stefan A Mann; Rajesh N Subbiah; Luke Domanski; John A Taylor; Jamie I Vandenberg; Adam P Hill Journal: J Physiol Date: 2013-04-03 Impact factor: 5.182
Authors: Eleonora Savio-Galimberti; Peter Weeke; Raafia Muhammad; Marcia Blair; Sami Ansari; Laura Short; Thomas C Atack; Kaylen Kor; Carlos G Vanoye; Morten Salling Olesen; Tao Yang; Alfred L George; Dan M Roden; Dawood Darbar Journal: Cardiovasc Res Date: 2014-07-22 Impact factor: 10.787