Author/Authors :
Mann، نويسنده , , Stefan A. and Otway، نويسنده , , Robyn and Guo، نويسنده , , Guanglan and Soka، نويسنده , , Magdalena and Karlsdotter، نويسنده , , Lina and Trivedi، نويسنده , , Gunjan and Ohanian، نويسنده , , Monique and Zodgekar، نويسنده , , Poonam and Smith، نويسنده , , Robert A. and Wouters، نويسنده , , Merridee A. and Subbiah، نويسنده , , Rajesh and Walker، نويسنده , , Bruce and Kuchar، نويسنده , , Denn، نويسنده ,
Abstract :
Objectives
m of this study was to evaluate the role of cardiac K+ channel gene variants in families with atrial fibrillation (AF).
ound
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.
s
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.
s
en 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.
sions
es 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.
Keywords :
atrial cell modeling , familial atrial fibrillation , genetics , Potassium channels