Yield of the Genetic Test in Suspected Catecholaminergic Polymorphic Ventricular Tachycardia and Implications for Test Interpretation.

Circ Genom Precis Med

From the Mayo Clinic School of Medicine (J.D.K., M.J.A.), Medical Scientist Training Program (J.D.K., M.J.A.), Mayo Clinic Graduate School of Biomedical Sciences, Department of Molecular Pharmacology and Experimental Therapeutics, Windland Smith Rice Sudden Death Genomics Laboratory (J.D.K., D.J.T., M.J.A.), Division of Biomedical Statistics and Informatics, Department of Health Sciences Research (N.B.L.), Division of Heart Rhythm Services, Department of Cardiovascular Diseases (D.J.T., M.J.A.), and Division of Pediatric Cardiology, Department of Pediatrics (M.J.A.), Mayo Clinic, Rochester, MN; Department of Medicine, Stanford University, Stanford, CA (K.N.P.); Transgenomic Inc, New Haven, CT (T.E.C.); and Department of Clinical Genetics (H.B.) and Heart Centre, Department of Clinical and Experimental Cardiology (A.A.M.W.), Academic Medical Center, University of Amsterdam, The Netherlands.

Published: February 2018

AI Article Synopsis

  • About 60% of cases of catecholaminergic polymorphic ventricular tachycardia are linked to pathogenic variants, but distinguishing rare benign variants in the general population complicates genetic testing interpretation.
  • The study analyzed genetic test results from over 1,300 patients and compared them to a control group, finding that 18.2% of referred patients had rare variants, significantly lower than the 59% found in clinically certain cases, indicating a higher chance of false positives in testing.
  • Factors like the specific protein regions affected by variants and the limited effectiveness of six in silico tools suggest challenges in accurately interpreting these variants, especially with the existing background rate of benign variants.

Article Abstract

Background: Pathogenic variants account for ≈60% of clinically definite cases of catecholaminergic polymorphic ventricular tachycardia. However, the rate of rare benign variants identified in the general population remains a challenge for genetic test interpretation. Therefore, we examined the results of the genetic test among patients referred for commercial genetic testing and examined factors impacting variant interpretability.

Methods: Frequency and location comparisons were made for variants identified among 1355 total patients of varying clinical certainty and 60 706 Exome Aggregation Consortium controls. The impact of the clinical phenotype on the yield of variants was examined. Six in silico tools were assessed using patient- and control-derived variants.

Results: A total of 18.2% (218/1200) of patients referred for commercial testing hosted rare variants, statistically less than the 59% (46/78) yield among clinically definite cases, resulting in a much higher potential genetic false discovery rate among referrals considering the 3.2% background rate of rare, benign variants. Exclusion of clearly putative pathogenic variants further complicates the interpretation of the next novel variant. Exonic/topologic analyses revealed overrepresentation of patient variants in exons covering only one third of the protein. In silico tools largely failed to show evidence toward enhancement of variant interpretation.

Conclusions: Current expert recommendations have resulted in increased use of genetic testing in patients with questionable clinical phenotypes. Using the largest to date catecholaminergic polymorphic ventricular tachycardia patient versus control comparison, this study highlights important variables in the interpretation of variants to overcome the 3.2% background rate that confounds variant interpretation.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6364978PMC
http://dx.doi.org/10.1161/CIRCGEN.116.001424DOI Listing

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