Associated Papers
Predicting the Damaging Potential of Uncharacterized KCNQ1 and KCNE1 Variants.
Tarnovskaya SI et al.
International Journal of Molecular Sciences, 2025
40724807 (PubMed )
Supplement: ijms-26-06561-s001.zip › ijms-3705358_SupplementaryTable2.xls › SupplementaryTable2
Computational analysis of congenital heart disease associated SNPs: unveiling their impact on the gene regulatory system.
Vashisht S et al.
Bmc Genomics, 2025
39838281 (PubMed )
Supplement: 12864_2025_11232_MOESM4_ESM.xlsx › ClinVar_CHD-SNPs_uniq
The Crossroad of Ion Channels and Calmodulin in Disease.
Urrutia J et al.
International Journal of Molecular Sciences, 2019
Using the genome aggregation database, computational pathogenicity prediction tools, and patch clamp heterologous expression studies to demote previously published long QT syndrome type 1 mutations from pathogenic to benign.
Clemens DJ et al.
Heart Rhythm, 2018
Effects of protein-protein interactions and ligand binding on the ion permeation in KCNQ1 potassium channel.
Jalily Hasani H et al.
Plos One, 2018
29444113 (PubMed )
Supplement: pone.0191905.s001.pdf
Utility of Post-Mortem Genetic Testing in Cases of Sudden Arrhythmic Death Syndrome.
Lahrouchi N et al.
Journal of the American College of Cardiology, 2017
Determining the pathogenicity of genetic variants associated with cardiac channelopathies.
Campuzano O et al.
Scientific Reports, 2015
High prevalence of genetic variants previously associated with LQT syndrome in new exome data.
Refsgaard L et al.
European Journal of Human Genetics : Ejhg, 2012
Compendium of cardiac channel mutations in 541 consecutive unrelated patients referred for long QT syndrome genetic testing.
Tester DJ et al.
Heart Rhythm, 2005
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