A comprehensive laboratory‐based program for classification of variants of uncertain significance in hereditary cancer genes

Julie M. Eggington(Myriad Genetics), Karla R. Bowles(Myriad Genetics), K. Moyes(Myriad Genetics), Susan Manley(Myriad Genetics), Lisa E. Esterling(Myriad Genetics), Scott Sizemore(Myriad Genetics), Eric T. Rosenthal(Myriad Genetics), Aaron Theisen(Myriad Genetics), Jennifer Saam(Myriad Genetics), Christopher Arnell(Myriad Genetics), Dmitry Pruss(Myriad Genetics), James T. Bennett(Myriad Genetics), Lynn Anne Burbidge(Myriad Genetics), B. Roa(Myriad Genetics), Richard Wenstrup(Myriad Genetics)
Clinical Genetics
November 8, 2013
Cited by 190Open Access
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Abstract

Genetic testing has the potential to guide the prevention and treatment of disease in a variety of settings, and recent technical advances have greatly increased our ability to acquire large amounts of genetic data. The interpretation of this data remains challenging, as the clinical significance of genetic variation detected in the laboratory is not always clear. Although regulatory agencies and professional societies provide some guidance regarding the classification, reporting, and long-term follow-up of variants, few protocols for the implementation of these guidelines have been described. Because the primary aim of clinical testing is to provide results to inform medical management, a variant classification program that offers timely, accurate, confident and cost-effective interpretation of variants should be an integral component of the laboratory process. Here we describe the components of our laboratory's current variant classification program (VCP), based on 20 years of experience and over one million samples tested, using the BRCA1/2 genes as a model. Our VCP has lowered the percentage of tests in which one or more BRCA1/2 variants of uncertain significance (VUSs) are detected to 2.1% in the absence of a pathogenic mutation, demonstrating how the coordinated application of resources toward classification and reclassification significantly impacts the clinical utility of testing.


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