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Data sharing as a national quality improvement program: reporting on BRCA1 and BRCA2 variant-interpretation comparisons through the Canadian Open Genetics Repository (COGR).
Lebo, Matthew S; Zakoor, Kathleen-Rose; Chun, Kathy; Speevak, Marsha D; Waye, John S; McCready, Elizabeth; Parboosingh, Jillian S; Lamont, Ryan E; Feilotter, Harriet; Bosdet, Ian; Tucker, Tracy; Young, Sean; Karsan, Aly; Charames, George S; Agatep, Ronald; Spriggs, Elizabeth L; Chisholm, Caitlin; Vasli, Nasim; Daoud, Hussein; Jarinova, Olga; Tomaszewski, Robert; Hume, Stacey; Taylor, Sherryl; Akbari, Mohammad R; Lerner-Ellis, Jordan.
Afiliação
  • Lebo MS; Departments of Pathology, Harvard Medical School and Brigham and Women's Hospital, Boston, Massachusetts, USA.
  • Zakoor KR; Laboratory for Molecular Medicine, Partners HealthCare Personalized Medicine, Cambridge, Massachusetts, USA.
  • Chun K; Pathology and Laboratory Medicine, Mount Sinai Hospital, Toronto, Ontario, Canada.
  • Speevak MD; Genetics Program, North York General Hospital, Toronto, Ontario, Canada.
  • Waye JS; Trillium Health Partners Credit Valley Site, Toronto, Ontario, Canada.
  • McCready E; Hamilton Regional Laboratory Medicine Program, Hamilton Health Sciences, Hamilton, Ontario, Canada.
  • Parboosingh JS; Hamilton Regional Laboratory Medicine Program, Hamilton Health Sciences, Hamilton, Ontario, Canada.
  • Lamont RE; Department of Medical Genetics and Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada.
  • Feilotter H; Department of Medical Genetics and Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada.
  • Bosdet I; Department of Pathology and Molecular Medicine, Queen's University, Kingston, Ontario, Canada.
  • Tucker T; Department of Pathology and Laboratory Medicine, British Columbia Cancer Agency, Vancouver, British Columbia, Canada.
  • Young S; Department of Pathology and Laboratory Medicine, British Columbia Cancer Agency, Vancouver, British Columbia, Canada.
  • Karsan A; Department of Pathology and Laboratory Medicine, British Columbia Cancer Agency, Vancouver, British Columbia, Canada.
  • Charames GS; Department of Pathology and Laboratory Medicine, British Columbia Cancer Agency, Vancouver, British Columbia, Canada.
  • Agatep R; Pathology and Laboratory Medicine, Mount Sinai Hospital, Toronto, Ontario, Canada.
  • Spriggs EL; Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Ontario, Canada.
  • Chisholm C; Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada.
  • Vasli N; Genomics Laboratory, Diagnostic Services Manitoba and Department of Biochemistry and Medical Genetics, University of Manitoba, Winnipeg, Canada.
  • Daoud H; Genomics Laboratory, Diagnostic Services Manitoba and Department of Biochemistry and Medical Genetics, University of Manitoba, Winnipeg, Canada.
  • Jarinova O; Department of Genetics, Children's Hospital of Eastern Ontario, Ottawa, Ontario, Canada.
  • Tomaszewski R; Department of Genetics, Children's Hospital of Eastern Ontario, Ottawa, Ontario, Canada.
  • Hume S; Department of Genetics, Children's Hospital of Eastern Ontario, Ottawa, Ontario, Canada.
  • Taylor S; Department of Genetics, Children's Hospital of Eastern Ontario, Ottawa, Ontario, Canada.
  • Akbari MR; Department of Medical Genetics, University of Alberta, Edmonton, Alberta, Canada.
  • Lerner-Ellis J; Department of Medical Genetics, University of Alberta, Edmonton, Alberta, Canada.
Genet Med ; 20(3): 294-302, 2018 03.
Article em En | MEDLINE | ID: mdl-28726806
PurposeThe purpose of this study was to develop a national program for Canadian diagnostic laboratories to compare DNA-variant interpretations and resolve discordant-variant classifications using the BRCA1 and BRCA2 genes as a case study.MethodsBRCA1 and BRCA2 variant data were uploaded and shared through the Canadian Open Genetics Repository (COGR; http://www.opengenetics.ca). A total of 5,554 variant observations were submitted; classification differences were identified and comparison reports were sent to participating laboratories. Each site had the opportunity to reclassify variants. The data were analyzed before and after the comparison report process to track concordant- or discordant-variant classifications by three different models.ResultsVariant-discordance rates varied by classification model: 38.9% of variants were discordant when using a five-tier model, 26.7% with a three-tier model, and 5.0% with a two-tier model. After the comparison report process, the proportion of discordant variants dropped to 30.7% with the five-tier model, to 14.2% with the three-tier model, and to 0.9% using the two-tier model.ConclusionWe present a Canadian interinstitutional quality improvement program for DNA-variant interpretations. Sharing of variant knowledge by clinical diagnostic laboratories will allow clinicians and patients to make more informed decisions and lead to better patient outcomes.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Testes Genéticos / Disseminação de Informação / Melhoria de Qualidade / Confiabilidade dos Dados Tipo de estudo: Prognostic_studies Limite: Humans País/Região como assunto: America do norte Idioma: En Revista: Genet Med Assunto da revista: GENETICA MEDICA Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Testes Genéticos / Disseminação de Informação / Melhoria de Qualidade / Confiabilidade dos Dados Tipo de estudo: Prognostic_studies Limite: Humans País/Região como assunto: America do norte Idioma: En Revista: Genet Med Assunto da revista: GENETICA MEDICA Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Estados Unidos