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Type: Journal article
Title: Analysis of a set of missense, frameshift, and in-frame deletion variants of BRCA1
Author: Carvalho, M.
Pino, M.
Karchin, R.
Beddor, J.
Godinho-Netto, M.
Mesquita, R.
Rodarte, R.
Vaz, D.
Monteiro, V.
Manoukian, S.
Colombo, M.
Ripamonti, C.
Rosenquist, R.
Suthers, G.
Borg, A.
Radice, P.
Grist, S.
Monteiro, A.
Billack, B.
Citation: Mutation Research: Fundamental and Molecular Mechanisms of Mutagenesis, 2009; 660(1-2):1-11
Publisher: Elsevier Science BV
Issue Date: 2009
ISSN: 1386-1964
Statement of
Marcelo Carvalho, Maria A. Pino, Rachel Karchin, Jennifer Beddor, Martha Godinho-Netto, Rafael D. Mesquita, Renato S. Rodarte, Danielle C. Vaz, Viviane A. Monteiro, Siranoush Manoukian, Mara Colombo, Carla B. Ripamonti, Richard Rosenquist, Graeme Suthers, Ake Borg, Paolo Radice, Scott A. Grist, Alvaro N.A. Monteiro and Blase Billack
Abstract: Germline mutations that inactivate BRCA1 are responsible for breast and ovarian cancer susceptibility. One possible outcome of genetic testing for BRCA1 is the finding of a genetic variant of uncertain significance for which there is no information regarding its cancer association. This outcome leads to problems in risk assessment, counseling and preventive care. The purpose of the present study was to functionally evaluate seven unclassified variants of BRCA1 including a genomic deletion that leads to the in-frame loss of exons 16/17 (Delta exons 16/17) in the mRNA, an insertion that leads to a frameshift and an extended carboxy-terminus (5673insC), and five missense variants (K1487R, S1613C, M1652I, Q1826H and V1833M). We analyzed the variants using a functional assay based on the transcription activation property of BRCA1 combined with supervised learning computational models. Functional analysis indicated that variants S1613C, Q1826H, and M1652I are likely to be neutral, whereas variants V1833M, Delta exons 16/17, and 5673insC are likely to represent deleterious variants. In agreement with the functional analysis, the results of the computational analysis also indicated that the latter three variants are likely to be deleterious. Taken together, a combined approach of functional and bioinformatics analysis, plus structural modeling, can be utilized to obtain valuable information pertaining to the effect of a rare variant on the structure and function of BRCA1. Such information can, in turn, aid in the classification of BRCA1 variants for which there is a lack of genetic information needed to provide reliable risk assessment.
Keywords: Cell Line
BRCA1 Protein
Blotting, Western
Computational Biology
Sequence Deletion
Protein Structure, Tertiary
Frameshift Mutation
Mutation, Missense
Models, Genetic
Models, Molecular
Computer Simulation
Description: Copyright © 2008 Elsevier B.V. All rights reserved.
DOI: 10.1016/j.mrfmmm.2008.09.017
Appears in Collections:Aurora harvest 5
Paediatrics publications

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