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Article

Machine learning-guided risk stratification for long QT syndrome genetic variants with hiPSC-derived cardiomyocytes.

Cardiovascular research - 11 Jul 2026

Khudiakov Aleksandr, Mura Manuela, Giannetti Federica, Leonov Vladislav, Alberio Chiara, Eskandr Marem, Lonati Paola Adele, Borghi Maria Orietta, Brink Paul A, Crotti Lia, Gnecchi Massimiliano, Schwartz Peter J, Sala Luca

Abstract excerpt

AIMS: Long QT syndrome (LQTS) is a life-threatening genetic disorder characterized by prolonged QT intervals on electrocardiograms. Congenital forms are mostly associated with variants in the KCNQ1 and KCNH2 genes. Among pathogenic or likely pathogenic (P/LP) variants, some are associated with a significantly higher incidence of cardiac events compared to others. While therapies have significantly reduced...

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Identifiers

PMID: 42133816
DOI: 10.1093/cvr/cvag105
PMCID: PMC13355840

Genes

KCNH2
KCNQ1

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 8 Sept 2026.

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