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

Carvalho, Marcelo; Pino, Maria A.; Karchin, Rachel; Beddor, Jennifer; Godinho-Netto, Martha; Mesquita, Rafael D.; Rodarte, Renato S.; Vaz, Danielle C.; Monteiro, Viviane A. and Manoukian, Siranoush, et al. (2009) In Mutation Research 660(1-2). p.1-11
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 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... (More)
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. (Less)
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keywords
Functional analysis, Unclassified variants, BRCA1, Breast cancel, BRCT, domain
in
Mutation Research
volume
660
issue
1-2
pages
1 - 11
publisher
Elsevier
external identifiers
  • wos:000263314800001
  • scopus:58249090764
ISSN
1873-135X
DOI
10.1016/j.mrfmmm.2008.09.017
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English
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yes
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b3cffc2c-6edc-42f8-9439-f5113b6944c6 (old id 1374855)
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2009-05-07 13:11:43
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@article{b3cffc2c-6edc-42f8-9439-f5113b6944c6,
  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 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.},
  author       = {Carvalho, Marcelo and Pino, Maria A. and Karchin, Rachel and Beddor, Jennifer and Godinho-Netto, Martha and Mesquita, Rafael D. and Rodarte, Renato S. and Vaz, Danielle C. and Monteiro, Viviane A. and Manoukian, Siranoush and Colombo, Mara and Ripamonti, Carla B. and Rosenquist, Richard and Suthers, Graeme and Borg, Åke and Radice, Paolo and Grist, Scott A. and Monteiro, Alvaro N. A. and Billack, Blase},
  issn         = {1873-135X},
  keyword      = {Functional analysis,Unclassified variants,BRCA1,Breast cancel,BRCT,domain},
  language     = {eng},
  number       = {1-2},
  pages        = {1--11},
  publisher    = {Elsevier},
  series       = {Mutation Research},
  title        = {Analysis of a set of missense, frameshift, and in-frame deletion variants of BRCA1},
  url          = {http://dx.doi.org/10.1016/j.mrfmmm.2008.09.017},
  volume       = {660},
  year         = {2009},
}