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Observational study

Cardiology · 3 h ago

Functional atlas characterizes 13,403 KCNQ1 variants linked to long QT syndrome

Researchers used four pooled assays to assess 13,403 protein-coding KCNQ1 variants, generating 49,305 functional measurements. Loss-of-function variants were associated with QT prolongation and long QT syndrome, while variants with dominant-negative effects were linked to higher arrhythmia risk than haploinsufficient variants.

KCNQ1 variants are a leading cause of congenital long QT syndrome, but many identified through genetic testing have uncertain clinical significance. In this study, researchers used four pooled assays and high-throughput sequencing to measure variant effects on cell-surface abundance and channel function, in both variant-only and heterozygous states. They also used case–control and biobank data to assess clinical associations.

The assays produced 49,305 measurements across 13,403 variants. Researchers reported strong pathogenic evidence for 1,757 variants and moderate benign evidence for 6,660. Loss-of-function variants were associated with QT prolongation and long QT syndrome. A majority of pathogenic variants showed dominant-negative effects; these were associated with higher arrhythmia risk than haploinsufficient variants. Deleterious variants also clustered in distinct protein structural domains according to functional classification.

The findings provide functional evidence for many KCNQ1 variants of uncertain significance and may help refine variant interpretation and risk assessment. The abstract does not report validation of the atlas for routine clinical decision-making, so its findings alone do not establish how results should change patient management.

In practice

For people undergoing genetic evaluation for congenital long QT syndrome, this functional atlas adds evidence that may help distinguish pathogenic from likely benign KCNQ1 variants and characterize possible mechanisms. The reported association between dominant-negative effects and higher arrhythmia risk may also inform future risk-stratification research. However, the abstract does not establish clinical validation or demonstrate that using these assay results improves patient outcomes; it does not support changing management based on the atlas alone.

AI-generated clinical interpretation · Not editor-reviewed

AI summary · Not yet editor-reviewed

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Source

Circulation: Multimodal KCNQ1 Variant-Effect Maps Define Ion Channel Mechanisms and Disease Risk ↗

This is an automated AI-condensed summary that has not yet been reviewed by an editor. Always consult the full item at the original source.