Actionable variants of unknown significance in inherited arrhythmogenic syndromes: a further step forward in genetic diagnosis

Abstract

Background/Objectives: Inherited arrhythmogenic syndromes comprise a heterogenic group of genetic entities that lead to malignant arrhythmias and sudden cardiac death. Genetic testing has become crucial to understand the disease etiology and allow for the early identification of relatives at risk; however, it requires an accurate interpretation of the data to achieve a clinically actionable outcome. This is particularly challenging for the large number of rare variants obtained by current high-throughput techniques, which are mostly classified as of unknown significance. Methods: In this work, we present a new algorithm for the genetic interpretation of the remaining rare variants in order to shed light on their potential clinical implications and reduce the burden of unknown significance. Results: Our study illustrates the potential utility of our individualized comprehensive stepwise analyses focused on the rare variants associated with IAS, which are currently classified as ambiguous, to further determine their trends towards pathogenicity or benign traits. Conclusions: We advocate for personalized disease-focused population frequency data and family segregation analyses for all rare variants that remain ambiguous to further clarify their role. The current ambiguity should not influence medical decisions, but a potential deleterious role would suggest a closer clinical follow-up and frequent genetic data review for a more personalized clinical approach

This work would not have been possible without the support of grants for research projects from the Instituto de Salud Carlos III, Fondo Investigación Sanitaria, FIS (PI21/00094), co-funded by the European Union and Fundació Bosch i Aymerich. CIBERCV and CIBERER are initiatives of the ISCIII (Carlos III Health Institute), Ministry of Economy and Competitiveness of Spain. IDIBGI and Fundació Sant Joan de Dèu are “CERCA Programme/Generalitat de Catalunya

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