Evidence-based recommendations for gene-specific ACMG/AMP variant classification from the ClinGen ENIGMA BRCA1 and BRCA2 Variant Curation Expert Panel

Affiliations
  • 1Population Health, QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia. Electronic address: michael.parsons@qimrberghofer.edu.au.
  • 2Molecular Oncology Laboratory, Hospital Clínico San Carlos, IdISSC, 28040 Madrid Spain.
  • 3Ambry Genetics Corporation, Aliso Viejo, CA 92656, USA.
  • 4Population Health, QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia.
  • 5Invitae Corporation, San Francisco, CA, USA.
  • 6GeneDx, Gaithersburg, MD, USA.
  • 7Department of Genetics, Institut Curie, and Paris Sciences Lettres Research University, 75005 Paris, France.
  • 8Color Health, Burlingame, CA, USA.
  • 9UC Santa Cruz Genomics Institute, Genomics, University of California, 1156 High Street, Santa Cruz, CA 95064, USA.
  • 10Department of Dermatology, Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, UT, USA.
  • 11Department of Clinical Genetics, Maastricht University Medical Center, Maastricht, the Netherlands.
  • 12Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA.
  • 13University Rouen Normandie, Inserm U1245 and CHU Rouen, Department of Genetics, FHU G4 Génomique, F-76000 Rouen, France.
  • 14Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, VIC, Australia.
  • 15Department of Pathology, Peter MacCallum Cancer Centre, Melbourne, VIC 3052, Australia.
  • 16University Rouen Normandie, Inserm U1245, F-76000 Rouen, France.
  • 17Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands.
  • 18Department of Cancer Epidemiology, H Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA.
  • 19Molecular Diagnostics, Aalborg University Hospital, Aalborg, Denmark; Department of Clinical Medicine, Aalborg University, Aalborg, Denmark; Clinical Cancer Research Center, Aalborg University Hospital, Aalborg, Denmark.
  • 20Predictive Medicine: Molecular Bases of Genetic Risk, Department of Experimental Oncology, Fondazione IRCCS Istituto Nazionale Dei Tumori, Via Venezian 1, 20133 Milano, Italy.
  • 21Institute of Human Genetics, Hannover Medical School, 30625 Hannover, Germany.
  • 22Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia; Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC 3168, Australia; Department of Clinical Pathology, The Melbourne Medical School, The University of Melbourne, Melbourne, VIC 3010, Australia.
  • 23Department of Oncological Sciences and Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84132, USA.
  • 24Department of Pathology, Royal Melbourne Hospital, Melbourne, VIC 3050, Australia.
  • 25Department of Cancer Biology and Genetics, The Ohio State University College of Medicine, Columbus, OH 43210, USA.
  • 26Translational Genetics Team, Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK.
  • 27Department of Human Genetics, Amsterdam University Medical Centers, Amsterdam, the Netherlands.
  • 28Department of Pathology and Biomedical Science, University of Otago, Christchurch, New Zealand.
  • 29Natera, Inc, San Carlos, CA, USA.
  • 30Department of Human Genetics, Leiden University Medical Center, Leiden, the Netherlands.
  • 31Population Health, QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia; Faculty of Medicine, University of Queensland, Brisbane, QLD, Australia. Electronic address: amanda.spurdle@qimrberghofer.edu.au.

Abstract

The ENIGMA research consortium develops and applies methods to determine clinical significance of variants in hereditary breast and ovarian cancer genes. An ENIGMA BRCA1/2 classification sub-group, formed in 2015 as a ClinGen external expert panel, evolved into a ClinGen internal Variant Curation Expert Panel (VCEP) to align with Food and Drug Administration recognized processes for ClinVar contributions. The VCEP reviewed American College of Medical Genetics and Genomics/Association of Molecular Pathology (ACMG/AMP) classification criteria for relevance to interpreting BRCA1 and BRCA2 variants. Statistical methods were used to calibrate evidence strength for different data types. Pilot specifications were tested on 40 variants and documentation revised for clarity and ease of use. The original criterion descriptions for 13 evidence codes were considered non-applicable or overlapping with other criteria. Scenario of use was extended or re-purposed for eight codes. Extensive analysis and/or data review informed specification descriptions and weights for all codes. Specifications were applied to pilot variants with pre-existing ClinVar classification as follows: 13 uncertain significance or conflicting, 14 pathogenic and/or likely pathogenic, and 13 benign and/or likely benign. Review resolved classification for 11/13 uncertain significance or conflicting variants and retained or improved confidence in classification for the remaining variants. Alignment of pre-existing ENIGMA research classification processes with ACMG/AMP classification guidelines highlighted several gaps in the research processes and the baseline ACMG/AMP criteria. Calibration of evidence strength was key to justify utility and strength of different data types for gene-specific application. The gene-specific criteria demonstrated value for improving ACMG/AMP-aligned classification of BRCA1 and BRCA2 variants.