Browsing by Author "Chiang, Fu-Tien"

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    KCNN2 polymorphisms and cardiac tachyarrhythmias
    (Wolters Kluwer, 2016-07) Yu, Chih-Chieh; Chia-Ti, Tsai; Chen, Pei-Lung; Wu, Cho-Kai; Chiu, Fu-Chun; Chiang, Fu-Tien; Chen, Peng-Sheng; Chen, Chi-Ling; Lin, Lian-Yu; Juang, Jyh-Ming; Ho, Li-Ting; Lai, Ling-Ping; Yang, Wei-Shiung; Lin, Jiunn-Lee; Department of Medicine, IU School of Medicine
    Potassium calcium-activated channel subfamily N member 2 (KCNN2) encodes an integral membrane protein that forms small-conductance calcium-activated potassium (SK) channels. Recent studies in animal models show that SK channels are important in atrial and ventricular repolarization and arrhythmogenesis. However, the importance of SK channels in human arrhythmia remains unclear. The purpose of the present study was to test the association between genetic polymorphism of the SK2 channel and the occurrence of cardiac tachyarrhythmias in humans. We enrolled 327 Han Chinese, including 72 with clinically significant ventricular tachyarrhythmias (VTa) who had a history of aborted sudden cardiac death (SCD) or unexplained syncope, 98 with a history of atrial fibrillation (AF), and 144 normal controls. We genotyped 12 representative tag single nucleotide polymorphisms (SNPs) across a 141-kb genetic region containing the KCNN2 gene; these captured the full haplotype information. The rs13184658 and rs10076582 variants of KCNN2 were associated with VTa in both the additive and dominant models (odds ratio [OR] 2.89, 95% confidence interval [CI] = 1.505-5.545, P = 0.001; and OR 2.55, 95% CI = 1.428-4.566, P = 0.002, respectively). After adjustment for potential risk factors, the association remained significant. The population attributable risks of these 2 variants of VTa were 17.3% and 10.6%, respectively. One variant (rs13184658) showed weak but significant association with AF in a dominant model (OR 1.91, CI = 1.025-3.570], P = 0.042). There was a significant association between the KCNN2 variants and clinically significant VTa. These findings suggest an association between KCNN2 and VTa; it also appears that KCNN2 variants may be adjunctive markers for risk stratification in patients susceptible to SCD.
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    Utilizing Multiple in Silico Analyses to Identify Putative Causal SCN5A Variants in Brugada Syndrome
    (Springer Nature, 2014-01-27) Juang, Jyh-Ming Jimmy; Lu, Tzu-Pin; Lai, Liang-Chuan; Hsueh, Chia-Hsiang; Liu, Yen-Bin; Tsai, Chia-Ti; Lin, Lian-Yu; Yu, Chih-Chieh; Hwang, Juey-Jen; Chiang, Fu-Tien; Yeh, Sherri Shih-Fan; Chen, Wen-Pin; Chuang, Eric Y.; Lai, Ling-Ping; Lin, Jiunn-Lee; Medicine, School of Medicine
    Brugada syndrome (BrS) is an inheritable sudden cardiac death disease mainly caused by SCN5A mutations. Traditional approaches can be costly and time-consuming if all candidate variants need to be validated through in vitro studies. Therefore, we developed a new approach by combining multiple in silico analyses to predict functional and structural changes of candidate SCN5A variants in BrS before conducting in vitro studies. Five SCN5A non-synonymous variants (1651G>A, 1776C>G, 1673A>G, 3269C>T and 3578G>A) were identified in 14 BrS patients using direct DNA sequencing. Several bioinformatics algorithms were applied and predicted that 1651G>A (A551T) and 1776C>G (N592K) were high-risk SCN5A variants (odds ratio 59.59 and 23.93). The results were validated by Mass spectrometry and in vitro electrophysiological assays. We concluded that integrating sequence-based information and secondary protein structures elements may help select highly potential variants in BrS before conducting time-consuming electrophysiological studies and two novel SCN5A mutations were validated.