Variant Reinterpretation in Survivors of Cardiac Arrest With Preserved Ejection Fraction (the Cardiac Arrest Survivors With Preserved Ejection Fraction Registry) by Clinicians and Clinical Commercial Laboratories

Author:

Davies Brianna1ORCID,Bartels Kirsten1ORCID,Hathaway Julie2ORCID,Xu Fang3ORCID,Roberts Jason D.4ORCID,Tadros Rafik5ORCID,Green Martin S.6ORCID,Healey Jeffrey S.7ORCID,Simpson Christopher S.8ORCID,Sanatani Shubhayan9ORCID,Steinberg Christian10ORCID,Gardner Martin11ORCID,Angaran Paul12ORCID,Talajic Mario5ORCID,Hamilton Robert13ORCID,Arbour Laura14ORCID,Seifer Colette15,Fournier Anne16ORCID,Joza Jacqueline17,Krahn Andrew D.1ORCID,Lehman Anna18,Laksman Zachary W.M.1ORCID

Affiliation:

1. Division of Cardiology, Department of Medicine (B.D., K.B., A.D.K., Z.W.M.L.), The University of British Columbia, Vancouver, Canada.

2. Blueprint Genetics, Helsinki, Finland (J.H.).

3. Prevention Genetics, Marshfield, WI (F.X.).

4. Section of Cardiac Electrophysiology, Division of Cardiology, Department of Medicine, Western University, London, Ontario (J.D.R.).

5. Department of Medicine, Cardiovascular Genetics Center, Montreal Heart Institute, Canada (R.T., M.T.).

6. University of Ottawa Heart Institute, Canada (M.S.G.).

7. Population Health Research Institute, Hamilton, Canada (J.S.H.).

8. Queen’s University, Kingston, Ontario, Canada (C.S.S.).

9. BC Children’s Hospital, Vancouver, Canada (S.S.).

10. Institut Universitaire de Cardiologie et Pneumologie de Québec, Laval University (C. Steinberg).

11. QEII Health Sciences Center, Halifax, Canada (M.G.).

12. St. Michael’s Hospital, University of Toronto, Canada (P.A.).

13. hTe Hospital for Sick Children (SickKids), Toronto, Canada (R.H.).

14. Division of Medical Genetics, Island Health, Victoria, Canada (L.A.).

15. Section of Cardiology, Department of Internal Medicine, University of Manitoba, Winnipeg, Canada (C. Seifer).

16. Division of Pediatric Cardiology, CHU Sainte-Justine, Université de Montréal, QC (A.F.).

17. Division of Cardiology, McGill University Health Center, Montreal, Canada (J.J.).

18. Department of Medical Genetics (A.L.), The University of British Columbia, Vancouver, Canada.

Abstract

Background: Following an unexplained cardiac arrest, clinical genetic testing is increasingly becoming standard of care. Periodic review of variant classification is required, as reinterpretation can change the diagnosis, prognosis, and management of patients and their relatives. Methods: This study aimed to develop and validate a standardized algorithm to facilitate clinical application of the 2015 American College of Medical Genetics and Association for Molecular Pathology guidelines for the interpretation of genetic variants. The algorithm was applied to genetic results in the Cardiac Arrest Survivors With Preserved Ejection Fraction Registry, to assess the rate of variant reclassification over time. Variant classifications were then compared with the classifications of 2 commercial laboratories to determine the rate and identify sources of variant interpretation discordance. Results: Thirty-one percent of participants (40 of 131) had at least 1 genetic variant with a clinically significant reclassification over time. Variants of uncertain significance were more likely to be downgraded (73%) to benign than upgraded to pathogenic (27%; P =0.03). For the second part of the study, 50% (70 of 139) of variants had discrepant interpretations (excluding benign variants), provided by at least 1 team. Conclusions: Periodic review of genetic variant classification is a key component of follow-up care given rapidly changing information in the field. There is potential for clinical care gaps with discrepant variant interpretations, based on the interpretation and application of current guidelines. The development of gene- and disease-specific guidelines and algorithms may provide an opportunity to further standardize variant interpretation reporting in the future. Registration: URL: https://www.clinicaltrials.gov ; Unique identifier: NCT00292032.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

General Medicine

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