The browser you are using is not supported by this website. All versions of Internet Explorer are no longer supported, either by us or Microsoft (read more here:

Please use a modern browser to fully experience our website, such as the newest versions of Edge, Chrome, Firefox or Safari etc.

Åke Borg

Åke Borg

Principal investigator

Åke Borg

Analysis of a set of missense, frameshift, and in-frame deletion variants of BRCA1


  • 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
  • Åke Borg
  • Paolo Radice
  • Scott A. Grist
  • Alvaro N. A. Monteiro
  • Blase Billack

Summary, in English

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 ill 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 (A exons 16/17) in the mRNA. all insertion that leads to a frameshift and all extended carboxy-terminus (5673insC), and five missense variants (K]487R, S1613C, M16521. Q1826H and V1833M). We analyzed the variants using a functional assay based oil the transcription activation property of BRCA1 combined with Supervised learning computational models. Functional analysis indicated that variants S1613C, Q1826H, and M16521 are likely to be neutral, whereas variants V1833M, A exons 16/17, and 5673insCare 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 oil the structure and function of BRCA1. Such information call, in turn,aid in the classification of BRCA1 variants for which there is a lack of genetic information needed to provide reliable risk assessment. (c) 2008 Elsevier B.V. All rights reserved.


  • Breastcancer-genetics

Publishing year







Mutation Research - Fundamental and Molecular Mechanisms of Mutagenesis





Document type

Journal article




  • Cancer and Oncology


  • Functional analysis
  • Unclassified variants
  • BRCA1
  • Breast cancel
  • BRCT
  • domain




  • ISSN: 1879-2871