Associated Papers
Mapping the Functional Landscape of KCNQ1 to Define Ion Channel Mechanisms and Arrhythmia Risk.
Harvey ML et al.
Medrxiv : the Preprint Server for Health Sciences, 2025
41445606 (PubMed )
Supplement: media-2.xlsx › File_S2
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
Rare disease gene association discovery from burden analysis of the 100,000 Genomes Project data.
Cipriani V et al.
Medrxiv : the Preprint Server for Health Sciences, 2023
Predicting the functional impact of KCNQ1 variants with artificial neural networks.
Phul S et al.
Plos Computational Biology, 2022
35442947 (PubMed )
Supplement: pcbi.1010038.s010.xlsx › Missense_Mutations
Evolutionary coupling analysis guides identification of mistrafficking-sensitive variants in cardiac K+ channels: Validation with hERG.
Zhang Y et al.
Frontiers in Pharmacology, 2022
A computational model of induced pluripotent stem-cell derived cardiomyocytes for high throughput risk stratification of KCNQ1 genetic variants.
Kernik DC et al.
Plos Computational Biology, 2020
Mechanisms of KCNQ1 channel dysfunction in long QT syndrome involving voltage sensor domain mutations.
Huang H et al.
Science Advances, 2018
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