Literature DB >> 16246960

Phenotypic variability and unusual clinical severity of congenital long-QT syndrome in a founder population.

Paul A Brink1, Lia Crotti, Valerie Corfield, Althea Goosen, Glenda Durrheim, Paula Hedley, Marshall Heradien, Gerhard Geldenhuys, Emilio Vanoli, Sara Bacchini, Carla Spazzolini, Andrew L Lundquist, Dan M Roden, Alfred L George, Peter J Schwartz.   

Abstract

BACKGROUND: In the congenital long-QT syndrome (LQTS), there can be a marked phenotypic heterogeneity. Founder effects, by which many individuals share a mutation identical by descent, represent a powerful tool to further understand the underlying mechanisms and to predict the natural history of mutation-associated effects. We are investigating one such founder effect, originating in South Africa in approximately ad 1700 and segregating the same KCNQ1 mutation (A341V). METHODS AND
RESULTS: The study population involved 320 subjects, 166 mutation carriers (MCs) and 154 noncarriers. When not taking beta-blocker therapy, MCs had a wide range of QTc values (406 to 676 ms), and 12% of individuals had a normal QTc (< or =440 ms). A QTc >500 ms was associated with increased risk for cardiac events (OR=4.22; 95% CI, 1.12 to 15.80; P=0.033). We also found that MCs with a heart rate <73 bpm were at significantly lower risk (OR=0.23; 95% CI, 0.06 to 0.86; P=0.035). This study also unexpectedly determined that KCNQ1-A341V is associated with greater risk than that reported for large databases of LQT1 patients: A341V MCs are more symptomatic by age 40 years (79% versus 30%) and become symptomatic earlier (7+/-4 versus 13+/-9 years, both P<0.001). Accordingly, functional studies of KCNQ1-A341V in CHO cells stably expressing IKs were conducted and identified a dominant negative effect of the mutation on wild-type channels.
CONCLUSIONS: KCNQ1-A341V is a mutation associated with an unusually severe phenotype, most likely caused by the dominant negative effect of the mutation. The availability of an extended kindred with a common mutation allowed us to identify heart rate, an autonomic marker, as a novel risk factor.

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Year:  2005        PMID: 16246960     DOI: 10.1161/CIRCULATIONAHA.105.572453

Source DB:  PubMed          Journal:  Circulation        ISSN: 0009-7322            Impact factor:   29.690


  64 in total

Review 1.  Voltage-Dependent Gating: Novel Insights from KCNQ1 Channels.

Authors:  Jianmin Cui
Journal:  Biophys J       Date:  2016-01-05       Impact factor: 4.033

2.  Postexercise recovery phase T-wave notching in concealed long QT syndrome.

Authors:  B Sensoy; O Ozeke; U Canpolat; S Cay; F Oksuz; S Topaloglu; D Aras; S Aydogdu
Journal:  Herz       Date:  2013-10-25       Impact factor: 1.443

3.  High-Throughput Functional Evaluation of KCNQ1 Decrypts Variants of Unknown Significance.

Authors:  Carlos G Vanoye; Reshma R Desai; Katarina L Fabre; Shannon L Gallagher; Franck Potet; Jean-Marc DeKeyser; Daniela Macaya; Jens Meiler; Charles R Sanders; Alfred L George
Journal:  Circ Genom Precis Med       Date:  2018-11

Review 4.  Genotype-specific risk stratification and management of patients with long QT syndrome.

Authors:  Alon Barsheshet; Olena Dotsenko; Ilan Goldenberg
Journal:  Ann Noninvasive Electrocardiol       Date:  2013-11-08       Impact factor: 1.468

Review 5.  Importance of Knowing the Genotype and the Specific Mutation When Managing Patients with Long QT Syndrome.

Authors:  Arthur J Moss; Ilan Goldenberg
Journal:  Circ Arrhythm Electrophysiol       Date:  2008-08

6.  Of founder populations, long QT syndrome, and destiny.

Authors:  Paul A Brink; Peter J Schwartz
Journal:  Heart Rhythm       Date:  2009-09-03       Impact factor: 6.343

Review 7.  Genetics of sudden cardiac death caused by ventricular arrhythmias.

Authors:  Roos F Marsman; Hanno L Tan; Connie R Bezzina
Journal:  Nat Rev Cardiol       Date:  2013-12-10       Impact factor: 32.419

Review 8.  [Standard-ECG].

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Journal:  Herzschrittmacherther Elektrophysiol       Date:  2008-09

9.  Molecular mechanisms of inherited arrhythmias.

Authors:  Cordula M Wolf; Charles I Berul
Journal:  Curr Genomics       Date:  2008-05       Impact factor: 2.236

10.  Risk stratification in young patients with channelopathies.

Authors:  N Sreeram; U Trieschmann; M Khalil; M Emmel
Journal:  Indian Pacing Electrophysiol J       Date:  2010-06-05
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