Key result
A new individualized stepwise algorithm for interpreting rare variants in inherited arrhythmogenic syndromes may help determine their trends towards pathogenicity or benign traits.
Why the study?
Genetic testing for inherited arrhythmogenic syndromes yields a large number of rare variants of unknown significance, making accurate interpretation challenging to achieve clinically actionable outcomes.
Does a new individualized comprehensive stepwise analysis algorithm improve the interpretation of rare genetic variants of unknown significance in inherited arrhythmogenic syndromes?
Does a new individualized comprehensive stepwise analysis algorithm improve the interpretation of rare genetic variants of unknown significance in inherited arrhythmogenic syndromes?
A new stepwise algorithm for interpreting genetic variants of unknown significance in inherited arrhythmogenic syndromes may help clarify their clinical role and guide personalized follow-up.
Variant interpretation challenges in arrhythmogenic syndromes warrant clinical caution; leaves open need for standardized classification frameworks.
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.
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Martinez-Barrios et al. (2024) studied Inherited arrhythmogenic syndromes. New algorithm for genetic interpretation of rare variants was evaluated. A new individualized stepwise algorithm for interpreting rare variants in inherited arrhythmogenic syndromes may help determine their trends towards pathogenicity or benign traits.
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