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Oncology Experts

Sean V. Tavtigian

Professor
Department of Oncological Sciences
Huntsman Cancer Institute
United States of America

Biography

Sean V. Tavtigian, PhD, is a professor in the Department of Oncological Sciences at the University of Utah and a Huntsman Cancer Institute investigator. He is a co-leader of the Cancer Control and Population Sciences Program. Research in Tavtigian's lab concentrates on two areas of genetic susceptibility to cancer. The first is identification and characterization of intermediate-risk and high-risk cancer susceptibility genes. The second is analysis of unclassified variants that are observed during the clinical testing of established high-risk cancer susceptibility genes.   Historically, most of the known high-risk cancer susceptibility genes were found either by linkage analysis/ positional cloning or by mutation screening of established high-risk susceptibility genes' biochemical pathway "nearest-neighbors". While the linkage analysis/ positional cloning approach is nearly obsolete, next-generation sequencing enables a number of new strategies for gene identification. One of these is whole-exome mutation screening in pedigrees as a method to identify relatively high-risk susceptibility genes. Another is biochemical pathway-based mutation screening in a case-control format as a method to identify intermediate-risk susceptibility genes. We are pursuing breast cancer, colorectal cancer, and head & neck cancer genetics projects in these areas.   Clinical mutation screening of high-risk cancer susceptibility genes such as BRCA1, BRCA2, MLH1, and MSH2 will often find clearly pathogenic mutations, providing very useful information for the clinical management of high-risk patients and their close relatives. However, about 10% of patients who undergo mutation screening are found to carry an unclassified sequence variant (UV) or variant of uncertain significance (VUS). Observations of UVs are problematic for clinical mutation screening services, for clinical cancer genetics, and for the patients. We have developed a bioinformatics method, called the "integrated evaluation", for analysis and eventual classification of UVs. Currently, the method is applicable to UVs in the breast cancer susceptibility genes BRCA1 and BRCA2 as well as the colorectal cancer genes MLH1 and MSH2. We are working to improve the method, to extend it to other susceptibility genes, and to expand databases that disseminate classification results to clinical cancer geneticists throughout the world. We are also investing in development of high throughput functional assays for evaluation of UVs in BRCA1 and eventually other cancer susceptibility genes.   Tavtigian earned a PhD at the California Institute of Technology, Pasadena.

Research Interest

Cancer Susceptibility Genes Evaluation of Variants of Uncertain Significance Breast Cancer Ovarian Cancer Colorectal Cancer Genetics

Publications

  • Thompson BA, Greenblatt MS, Vallee MP, Herkert JC, Tessereau C, Young EL, Adzhubey IA, Li B, Bell R, Feng B, Mooney SD, Radivojac P, Sunyaev SR, Frebourg T, Hofstra RM, Sijmons RH, Boucher K, Thomas A, Goldgar DE, Spurdle AB, Tavtigian SV (2013). Calibration of multiple in silico tools for predicting pathogenicity of mismatch repair gene missense substitutions. Hum Mutat, 34(1), 255-65.

  • Vallee MP, Di Sera TL, Nix DA, Paquette AM, Parsons MT, Bell R, Hoffman A, Hogervorst FB, Goldgar DE, Spurdle AB, Tavtigian SV (2016). Adding In Silico Assessment of Potential Splice Aberration to the Integrated Evaluation of BRCA Gene Unclassified Variants. Hum Mutat, 37(7), 627-39.

  • Young EL, Feng BJ, Stark AW, Damiola F, Durand G, Forey N, Francy TC, Gammon A, Kohlmann WK, Kaphingst KA, McKay-Chopin S, Nguyen-Dumont T, Oliver J, Paquette AM, Pertesi M, Robinot N, Rosenthal JS, Vallee M, Voegele C, Hopper JL, Southey MC, Andrulis IL, John EM, Hashibe M, Gertz J, Le Calvez-Kelm F, Lesueur F, Goldgar DE, Tavtigian SV (2016). Multigene testing of moderate-risk genes: be mindful of the missense. J Med Genet, 53(6), 366-76.

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