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Clinical validity assessment of genes frequently tested on hereditary breast and ovarian cancer susceptibility sequencing panels.
Lee, Kristy; Seifert, Bryce A; Shimelis, Hermela; Ghosh, Rajarshi; Crowley, Stephanie B; Carter, Natalie J; Doonanco, Kurston; Foreman, A Katherine; Ritter, Deborah I; Jimenez, Sharisse; Trapp, Mackenzie; Offit, Kenneth; Plon, Sharon E; Couch, Fergus J.
Afiliación
  • Lee K; Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Seifert BA; Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Shimelis H; Mayo Clinic, Rochester, MN, USA.
  • Ghosh R; Baylor College of Medicine, Houston, TX, USA.
  • Crowley SB; Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Carter NJ; GeneDx, Gaithersburg, MD, USA.
  • Doonanco K; GeneDx, Gaithersburg, MD, USA.
  • Foreman AK; Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Ritter DI; Baylor College of Medicine, Houston, TX, USA.
  • Jimenez S; Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Trapp M; Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Offit K; Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Plon SE; Baylor College of Medicine, Houston, TX, USA.
  • Couch FJ; Mayo Clinic, Rochester, MN, USA. Couch.Fergus@mayo.edu.
Genet Med ; 21(7): 1497-1506, 2019 07.
Article en En | MEDLINE | ID: mdl-30504931
PURPOSE: Several genes on hereditary breast and ovarian cancer susceptibility test panels have not been systematically examined for strength of association with disease. We employed the Clinical Genome Resource (ClinGen) clinical validity framework to assess the strength of evidence between selected genes and breast or ovarian cancer. METHODS: Thirty-one genes offered on cancer panel testing were selected for evaluation. The strength of gene-disease relationship was systematically evaluated and a clinical validity classification of either Definitive, Strong, Moderate, Limited, Refuted, Disputed, or No Reported Evidence was assigned. RESULTS: Definitive clinical validity classifications were made for 10/31 and 10/32 gene-disease pairs for breast and ovarian cancer respectively. Two genes had a Moderate classification whereas, 6/31 and 6/32 genes had Limited classifications for breast and ovarian cancer respectively. Contradictory evidence resulted in Disputed or Refuted assertions for 9/31 genes for breast and 4/32 genes for ovarian cancer. No Reported Evidence of disease association was asserted for 5/31 genes for breast and 11/32 for ovarian cancer. CONCLUSION: Evaluation of gene-disease association using the ClinGen clinical validity framework revealed a wide range of classifications. This information should aid laboratories in tailoring appropriate gene panels and assist health-care providers in interpreting results from panel testing.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Neoplasias Ováricas / Neoplasias de la Mama Límite: Female / Humans Idioma: En Revista: Genet Med Asunto de la revista: GENETICA MEDICA Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Neoplasias Ováricas / Neoplasias de la Mama Límite: Female / Humans Idioma: En Revista: Genet Med Asunto de la revista: GENETICA MEDICA Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos