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Updated: May 22, 2025

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
Published on: January 16, 2019
Clinical Effect of Genetic Testing in Inherited Cardiovascular Diseases: A 14-Year Retrospective Study
Steffany Grondin1, Benjamin Neveu2, Iness Soltani1
1Faculty of Medicine, University of Montreal, Montreal, Quebec, Canada; Cardiovascular Genetics Centre, Montreal Heart Institute, Montreal, Quebec, Canada.
Genetic testing for inherited heart conditions like cardiomyopathies and arrhythmias is highly effective, identifying disease-causing variants in 24% of patients. Local population data improves the interpretation of genetic variants, aiding clinical management and family screening.
Area of Science:
- Cardiovascular Genetics
- Medical Genomics
- Population Genetics
Background:
- Clinical utility of genetic testing for heritable cardiomyopathies and arrhythmias requires definition.
- Genetic landscape of these conditions in the French-Canadian population is unknown.
- Founder effect complicates genetic variant interpretation.
Purpose of the Study:
- Evaluate clinical utility of arrhythmia and cardiomyopathy genetic testing.
- Assess the value of local allele frequency data for variant interpretation.
Main Methods:
- Included 2,062 probands with suspected inherited heart conditions.
- Analyzed genetic testing results and clinical data.
- Compared variant prevalence in cases versus a local population cohort.
Main Results:
- Identified pathogenic/likely pathogenic variants in 24% (496/2,062) of probands.
- Reclassified 9 variants using local population data.
- Diagnostic refinement impacting clinical management occurred in 8% (168/2,062) of cases.
Conclusions:
- Genetic testing has a high yield for identifying disease-causing variants in inherited heart conditions.
- Local allele frequency data enhances variant interpretation and classification.
- Genetic testing results influence clinical management and family screening.
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