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ABSTRACT: 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.
SUBMITTER: Lee K
PROVIDER: S-EPMC6579711 | biostudies-literature | 2019 Jul
REPOSITORIES: biostudies-literature
Lee Kristy K Seifert Bryce A BA Shimelis Hermela H Ghosh Rajarshi R Crowley Stephanie B SB Carter Natalie J NJ Doonanco Kurston K Foreman A Katherine AK Ritter Deborah I DI Jimenez Sharisse S Trapp Mackenzie M Offit Kenneth K Plon Sharon E SE Couch Fergus J FJ
Genetics in medicine : official journal of the American College of Medical Genetics 20181203 7
<h4>Purpose</h4>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.<h4>Methods</h4>Thirty-one genes offered on cancer panel testing were selected for evaluation. The strength of gene-disease relationship was systematically e ...[more]