scholarly journals Compound and heterozygous mutations of KCNQ1 in long QT syndrome with familial history of unexplained sudden death: Identified by analysis of whole exome sequencing and predisposing genes

2019 ◽  
Vol 25 (1) ◽  
Author(s):  
Yubi Lin ◽  
Ting Zhao ◽  
Siqi He ◽  
Jiana Huang ◽  
Qianru Liu ◽  
...  
2020 ◽  
Vol 4 (4) ◽  
pp. 257-267
Author(s):  
Yafei Zhai ◽  
Jinxin Miao ◽  
Ying Peng ◽  
Guangming Fang ◽  
Chuchu Wang ◽  
...  

Long QT syndrome (LQTS), which is caused by an ion channel‐related gene mutation, is a malignant heart disease with a clinical course of a high incidence of ventricular fibrillation and sudden cardiac death in the young. Mutations in KCNH2 (which encodes potassium voltage-gated channel subfamily H member 2) are responsible for LQTS in many patients. Here we report the novel mutation c.1898A>C in KCNH2 in a Chinese family with LQTS through whole-exome sequencing. The c.916dupA mutation in JUP (which encodes junction plakoglobin) is also discovered. Mutations in JUP were found to be associated with arrhythmogenic right ventricular cardiomyopathy. The double mutation in the proband may help explain his severe clinical manifestations, such as sudden cardiac death at an early age. Sequencing for the proband’s family members revealed that the KCNH2 mutation descends from his paternal line, while the mutation in JUP came from his maternal line. The data provided in this study may help expand the spectrum of LQTS-related KCNH2 mutations and add support to the genetic diagnosis and counseling of families affected by malignant arrhythmias.


ESC CardioMed ◽  
2018 ◽  
pp. 382-389
Author(s):  
Wojciech Zareba ◽  
Pyotr Platonov

Electrocardiogram (ECG) patterns recognized in patients with sudden death without structural abnormalities in the heart have guided cardiology over the last few decades towards a better understanding of the role of cardiac ion channels in physiology and in arrhythmogenicity in rare electrical diseases. The long QT syndrome became the paradigm for evaluating the association between specific ion channel abnormalities caused by mutations in genes encoding predominantly potassium and sodium channels and phenotypic ECG expression. Specific ECG patterns observed in long QT syndrome help in diagnosis and improve prognosis in patients affected by this disorder. Short QT syndrome also is characterized by specific patterns in repolarization morphology that relate to affected potassium current or calcium handling genes. Brugada syndrome and early repolarization syndrome are considered as J-wave syndromes, having some similarities in ECG features but with distinctive patterns associated with classical forms of these disorders. Spontaneous appearance of cove-type Brugada pattern is associated with a worse prognosis. Early repolarization patterns may also indicate prognosis in subjects with a prior history of cardiac arrest or ventricular arrhythmias or a family history of cardiac arrests. Catecholaminergic polymorphic ventricular tachycardia is another channelopathy without characteristic features in standard resting ECG but with characteristic polymorphic ventricular arrhythmias during catecholaminergic challenge (exercise test, stressing situations). Pre-excitation syndromes associated with sudden cardiac death are well recognized and current understanding of these disorders leads to a better therapy.


Heart Rhythm ◽  
2018 ◽  
Vol 15 (7) ◽  
pp. 1042-1050 ◽  
Author(s):  
Andrew P. Landstrom ◽  
Ernesto Fernandez ◽  
Jill A. Rosenfeld ◽  
Yaping Yang ◽  
Andrew L. Dailey-Schwartz ◽  
...  

2020 ◽  
Vol 30 (12) ◽  
pp. 1880-1881
Author(s):  
Mehmet Taşar ◽  
Nur Dikmen Yaman ◽  
Huseyin Dursin ◽  
Murat Şimşek ◽  
Senem Özgür

AbstractCongenital Long QT Syndrome (LQTS) is a dangerous arrhythmic disorder that can be diagnosed in children with bradycardia. It is characterised by a prolonged QT interval and torsades de pointes that may cause sudden death. Long QT syndrome is an ion channelopathy with complex molecular and physiological infrastructure. Unlike the acquired type, congenital LQTS has a genetic inheritance and it may be diagnosed by syncope, stress in activity, cardiac dysfunction, sudden death or sometimes incidentally. Permanent pacemaker implantation is required for LQTS with resistant bradycardia even in children to resolve symptoms and avoid sudden death.


Heart Rhythm ◽  
2005 ◽  
Vol 2 (5) ◽  
pp. S265
Author(s):  
Li Zhang ◽  
Tiehua Chen ◽  
Michael Sheets ◽  
Robert L. Lux ◽  
Michael S. Schaffer ◽  
...  

Open Heart ◽  
2021 ◽  
Vol 8 (2) ◽  
pp. e001671
Author(s):  
Sharen Lee ◽  
Jiandong Zhou ◽  
Kamalan Jeevaratnam ◽  
Wing Tak Wong ◽  
Ian Chi Kei Wong ◽  
...  

IntroductionLong QT syndrome (LQTS) is a less prevalent cardiac ion channelopathy than Brugada syndrome in Asia. The present study compared the outcomes between paediatric/young and adult LQTS patients.MethodsThis was a population-based retrospective cohort study of consecutive patients diagnosed with LQTS attending public hospitals in Hong Kong. The primary outcome was spontaneous ventricular tachycardia/ventricular fibrillation (VT/VF).ResultsA total of 142 LQTS (mean onset age=27±23 years old) were included. Arrhythmias other than VT/VF (HR 4.67, 95% CI (1.53 to 14.3), p=0.007), initial VT/VF (HR=3.25 (95% CI 1.29 to 8.16), p=0.012) and Schwartz score (HR=1.90 (95% CI 1.11 to 3.26), p=0.020) were predictive of the primary outcome for the overall cohort, while arrhythmias other than VT/VF (HR=5.41 (95% CI 1.36 to 21.4), p=0.016) and Schwartz score (HR=4.67 (95% CI 1.48 to 14.7), p=0.009) were predictive for the adult subgroup (>25 years old; n=58). A random survival forest model identified initial VT/VF, Schwartz score, initial QTc interval, family history of LQTS, initially asymptomatic and arrhythmias other than VT/VF as the most important variables for risk prediction.ConclusionClinical and ECG presentation varies between the paediatric/young and adult LQTS population. Machine learning models achieved more accurate VT/VF prediction.


2016 ◽  
Vol 49 (6) ◽  
pp. 807-813 ◽  
Author(s):  
Bettina F. Cuneo ◽  
Janette F. Strasburger ◽  
Ronald T. Wakai

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