Associated Papers
Assessment of absolute risk of life-threatening cardiac events in long QT syndrome patients.
Wang M et al.
Frontiers in Cardiovascular Medicine, 2022
36277779 (PubMed )
Supplement: Data_Sheet_1.pdf
Assessment of the predictive accuracy of five in silico prediction tools, alone or in combination, and two metaservers to classify long QT syndrome gene mutations.
Leong IU et al.
Bmc Medical Genetics, 2015
25967940 (PubMed )
Supplement: 12881_2015_176_MOESM1_ESM.xlsx › KCNQ1_All
Use of mutant-specific ion channel characteristics for risk stratification of long QT syndrome patients.
Jons C et al.
Science Translational Medicine, 2011
A new approach to long QT syndrome mutation detection by Sequenom MassARRAY system.
Allegue C et al.
Electrophoresis, 2010
Long QT and Brugada syndrome gene mutations in New Zealand.
Chung SK et al.
Heart Rhythm, 2007
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