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Showing posts with label unclassified. Show all posts
Showing posts with label unclassified. Show all posts

Thursday, June 03, 2010

Comprehensive Analysis of Missense Variations in the BRCT Domain of BRCA 1 by Structural and Functional Assays



Comprehensive Analysis of Missense Variations in the BRCT Domain of BRCA1 by Structural and Functional Assays.

Lee MS, Green R, Marsillac SM, Coquelle N, Williams RS, Yeung T, Foo D, Hau DD, Hui B, Monteiro AN, Glover JN.

Authors' Affiliations: Department of Biochemistry, School of Systems Molecular Medicine, University of Alberta, Edmonton, Alberta, Canada; National Institute of Environmental Health Sciences, Durham, North Carolina; Risk Assessment, Detection, and Intervention Program, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida; and Molecular Biology Program, Institute of Biophysics Carlos Chagas Fo., Federal University of Rio de Janeiro, Rio de Janeiro, Brazil.
Abstract

Genetic screening of the breast and ovarian cancer susceptibility gene BRCA1 has uncovered a large number of variants of uncertain clinical significance. Here, we use biochemical and cell-based transcriptional assays to assess the structural and functional defects associated with a large set of 117 distinct BRCA1 missense variants within the essential BRCT domain of the BRCA1 protein that have been documented in individuals with a family history of breast or ovarian cancer....... Through a correlation of the assay results with available family history and clinical data, we define limits to predict the disease risk associated with each variant. Forty-two of the variants show little effect on function and are likely to represent variants with little or no clinical significance; 50 display a clear functional effect and are likely to represent pathogenic variants; and the remaining 25 variants display intermediate activities. The excellent agreement between the structure/function effects of these mutations and available clinical data supports the notion that functional and structure information can be useful in the development of models to assess cancer risk.