94
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      Sequence variant classification and reporting: recommendations for improving the interpretation of cancer susceptibility genetic test results.

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Genetic testing of cancer susceptibility genes is now widely applied in clinical practice to predict risk of developing cancer. In general, sequence-based testing of germline DNA is used to determine whether an individual carries a change that is clearly likely to disrupt normal gene function. Genetic testing may detect changes that are clearly pathogenic, clearly neutral, or variants of unclear clinical significance. Such variants present a considerable challenge to the diagnostic laboratory and the receiving clinician in terms of interpretation and clear presentation of the implications of the result to the patient. There does not appear to be a consistent approach to interpreting and reporting the clinical significance of variants either among genes or among laboratories. The potential for confusion among clinicians and patients is considerable and misinterpretation may lead to inappropriate clinical consequences. In this article we review the current state of sequence-based genetic testing, describe other standardized reporting systems used in oncology, and propose a standardized classification system for application to sequence-based results for cancer predisposition genes. We suggest a system of five classes of variants based on the degree of likelihood of pathogenicity. Each class is associated with specific recommendations for clinical management of at-risk relatives that will depend on the syndrome. We propose that panels of experts on each cancer predisposition syndrome facilitate the classification scheme and designate appropriate surveillance and cancer management guidelines. The international adoption of a standardized reporting system should improve the clinical utility of sequence-based genetic tests to predict cancer risk.

          Related collections

          Author and article information

          Journal
          Hum Mutat
          Human mutation
          Wiley
          1098-1004
          1059-7794
          Nov 2008
          : 29
          : 11
          Affiliations
          [1 ] Department of Pediatrics, Baylor Cancer Genetics Clinic, Baylor College of Medicine, Houston, Texas, USA. splon@bcm.edu
          Article
          NIHMS78152
          10.1002/humu.20880
          3075918
          18951446
          055eaddb-6dae-4a70-9b75-94b01585a310
          (c) 2008 Wiley-Liss, Inc.
          History

          Comments

          Comment on this article