Associated Papers
SPARC: a structural pathogenicity algorithm for risk classification of hERG variants.
Chatelain FC et al.
Europace : European Pacing, Arrhythmias, and Cardiac Electrophysiology : Journal of the Working Groups on Cardiac Pacing, Arrhythmias, and Cardiac Cellular Electrophysiology of the European Society of Cardiology, 2026
41443252 (PubMed )
Supplement: euaf327_supplementary_data.zip › Table-S1-V2.xlsx › All_missense_variants
Multiplexed Assays of Variant Effect and Automated Patch-clamping Improve KCNH2-LQTS Variant Classification and Cardiac Event Risk Stratification.
O'Neill MJ et al.
Medrxiv : the Preprint Server for Health Sciences, 2024
38370760 (PubMed )
Supplement: media-2.xlsx › Table_S5
A need for exhaustive and standardized characterization of ion channels activity. The case of KV11.1.
Alameh M et al.
Frontiers in Physiology, 2023
36860515 (PubMed )
Supplement: Table1.XLSX › missense_variants
Evolutionary coupling analysis guides identification of mistrafficking-sensitive variants in cardiac K+ channels: Validation with hERG.
Zhang Y et al.
Frontiers in Pharmacology, 2022
Structures Illuminate Cardiac Ion Channel Functions in Health and in Long QT Syndrome.
Brewer KR et al.
Frontiers in Pharmacology, 2020
32431610 (PubMed )
Supplement: Table_1.xlsx › mutation_list
Association of Genetic and Clinical Aspects of Congenital Long QT Syndrome With Life-Threatening Arrhythmias in Japanese Patients.
Shimizu W et al.
Jama Cardiology, 2019
Achieving high-sensitivity for clinical applications using augmented exome sequencing.
Patwardhan A et al.
Genome Medicine, 2015
26269718 (PubMed )
Supplement: 13073_2015_197_MOESM8_ESM.xlsx › Sheet1
Large-scale mutational analysis of Kv11.1 reveals molecular insights into type 2 long QT syndrome.
Anderson CL et al.
Nature Communications, 2014
Founder mutations characterise the mutation panorama in 200 Swedish index cases referred for Long QT syndrome genetic testing.
Stattin EL et al.
Bmc Cardiovascular Disorders, 2012
Spectrum of mutations in long-QT syndrome genes. KVLQT1, HERG, SCN5A, KCNE1, and KCNE2.
Splawski I et al.
Circulation, 2000
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