Varaico: Literature-Extracted Genetic Variants

Gene:KCNQ1
Variant:p.V648I
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KCNQ1

NM_000218.3:p.V648I

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

Integrative analysis of KCNQ1 variants reveals molecular mechanisms of type 1 long QT syndrome pathogenesis.

Brewer KR et al.

Proceedings of the National Academy of Sciences of the United States of America, 2025

39969993 (PubMed )
Supplement: pnas.2412971122.sd02.xlsx › Sheet1

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

Alterations in SLC4A2, SLC26A7 and SLC26A9 Drive Acid-Base Imbalance in Gastric Neuroendocrine Tumors and Uncover a Novel Mechanism for a Co-Occurring Polyautoimmune Scenario.

Calvete O et al.

Cells, 2021

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

Classification and Reporting of Potentially Proarrhythmic Common Genetic Variation in Long QT Syndrome Genetic Testing.

Giudicessi JR et al.

Circulation, 2018

Potassium Channels and Human Epileptic Phenotypes: An Updated Overview.

Villa C et al.

Frontiers in Cellular Neuroscience, 2016

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 › EVERYTHING

Genetic and forensic implications in epilepsy and cardiac arrhythmias: a case series.

Partemi S et al.

International Journal of Legal Medicine, 2015

Evaluation of a new high-throughput next-generation sequencing method based on a custom AmpliSeq™ library and ion torrent PGM™ sequencing for the rapid detection of genetic variations in long QT syndrome.

Millat G et al.

Molecular Diagnosis & Therapy, 2014

Cardiac channelopathy testing in 274 ethnically diverse sudden unexplained deaths.

Wang D et al.

Forensic Science International, 2014

Sudden infant death syndrome: how significant are the cardiac channelopathies?

Tester DJ et al.

Cardiovascular Research, 2005

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Regarding the variants extracted from papers and shown text snippets from research papers, the following holds: "Some rights reserved. This work permits non-commercial use, distribution and reproduction in any medium, provided the original author and source are credited."