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Risk Estimation as a Decision-Making Tool for Genetic Analysis of the Breast Cancer Susceptibility Genes

For genetic counselling of a woman on familial breast cancer, an accurate evaluation of the probability that she carries a germ-line mutation is needed to assist in making decisions about genetic-testing. We used data from eight collaborating centres comprising 618 families (346 breast cancer only,...

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Autores principales: Chang-Claude, Jenny, Becher, Heiko, Caligo, Maria, Eccles, Diana, Evans, Gareth, Haites, Neva, Hodgson, Shirley, Møller, Pål, Weber, Bernhard H. F., Stoppa-Lyonnet, Dominique
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IOS Press 1999
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3850798/
https://www.ncbi.nlm.nih.gov/pubmed/10595253
http://dx.doi.org/10.1155/1999/238375
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author Chang-Claude, Jenny
Becher, Heiko
Caligo, Maria
Eccles, Diana
Evans, Gareth
Haites, Neva
Hodgson, Shirley
Møller, Pål
Weber, Bernhard H. F.
Stoppa-Lyonnet, Dominique
author_facet Chang-Claude, Jenny
Becher, Heiko
Caligo, Maria
Eccles, Diana
Evans, Gareth
Haites, Neva
Hodgson, Shirley
Møller, Pål
Weber, Bernhard H. F.
Stoppa-Lyonnet, Dominique
author_sort Chang-Claude, Jenny
collection PubMed
description For genetic counselling of a woman on familial breast cancer, an accurate evaluation of the probability that she carries a germ-line mutation is needed to assist in making decisions about genetic-testing. We used data from eight collaborating centres comprising 618 families (346 breast cancer only, 239 breast or ovarian cancer) recruited as research families or counselled for familial breast cancer, representing a broad range of family structures. Screening was performed in affected women from 618 families for germ-line mutations in BRCA1 and in 176 families for BRCA2 mutations, using different methods including SSCP, CSGE, DGGE, FAMA and PTT analysis followed by direct sequencing. Germ-line BRCA1 mutations were detected in 132 families and BRCA2 mutations in 16 families. The probability of being a carrier of a dominant breast cancer gene was calculated for the screened individual under the established genetic model for breast cancer susceptibility, first, with parameters for age-specific penetrances for breast cancer only [7] and, second, with age-specific penetrances for ovarian cancer in addition [20]. Our results indicate that the estimated probability of carrying a dominant breast cancer gene gives a direct measure of the likelihood of detecting mutations in BRCA1 and BRCA2. For breast/ovarian cancer families, the genetic model according to Narod et al. [20] is preferable for calculating the proband's genetic risk, and gives detection rates that indicate a 50% sensitivity of the gene test. Due to the incomplete BRCA2 screening of the families, we cannot yet draw any conclusions with respect to the breast cancer only families.
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spelling pubmed-38507982013-12-18 Risk Estimation as a Decision-Making Tool for Genetic Analysis of the Breast Cancer Susceptibility Genes Chang-Claude, Jenny Becher, Heiko Caligo, Maria Eccles, Diana Evans, Gareth Haites, Neva Hodgson, Shirley Møller, Pål Weber, Bernhard H. F. Stoppa-Lyonnet, Dominique Dis Markers Other For genetic counselling of a woman on familial breast cancer, an accurate evaluation of the probability that she carries a germ-line mutation is needed to assist in making decisions about genetic-testing. We used data from eight collaborating centres comprising 618 families (346 breast cancer only, 239 breast or ovarian cancer) recruited as research families or counselled for familial breast cancer, representing a broad range of family structures. Screening was performed in affected women from 618 families for germ-line mutations in BRCA1 and in 176 families for BRCA2 mutations, using different methods including SSCP, CSGE, DGGE, FAMA and PTT analysis followed by direct sequencing. Germ-line BRCA1 mutations were detected in 132 families and BRCA2 mutations in 16 families. The probability of being a carrier of a dominant breast cancer gene was calculated for the screened individual under the established genetic model for breast cancer susceptibility, first, with parameters for age-specific penetrances for breast cancer only [7] and, second, with age-specific penetrances for ovarian cancer in addition [20]. Our results indicate that the estimated probability of carrying a dominant breast cancer gene gives a direct measure of the likelihood of detecting mutations in BRCA1 and BRCA2. For breast/ovarian cancer families, the genetic model according to Narod et al. [20] is preferable for calculating the proband's genetic risk, and gives detection rates that indicate a 50% sensitivity of the gene test. Due to the incomplete BRCA2 screening of the families, we cannot yet draw any conclusions with respect to the breast cancer only families. IOS Press 1999 2002-06-07 /pmc/articles/PMC3850798/ /pubmed/10595253 http://dx.doi.org/10.1155/1999/238375 Text en Copyright © 1999 Hindawi Publishing Corporation.
spellingShingle Other
Chang-Claude, Jenny
Becher, Heiko
Caligo, Maria
Eccles, Diana
Evans, Gareth
Haites, Neva
Hodgson, Shirley
Møller, Pål
Weber, Bernhard H. F.
Stoppa-Lyonnet, Dominique
Risk Estimation as a Decision-Making Tool for Genetic Analysis of the Breast Cancer Susceptibility Genes
title Risk Estimation as a Decision-Making Tool for Genetic Analysis of the Breast Cancer Susceptibility Genes
title_full Risk Estimation as a Decision-Making Tool for Genetic Analysis of the Breast Cancer Susceptibility Genes
title_fullStr Risk Estimation as a Decision-Making Tool for Genetic Analysis of the Breast Cancer Susceptibility Genes
title_full_unstemmed Risk Estimation as a Decision-Making Tool for Genetic Analysis of the Breast Cancer Susceptibility Genes
title_short Risk Estimation as a Decision-Making Tool for Genetic Analysis of the Breast Cancer Susceptibility Genes
title_sort risk estimation as a decision-making tool for genetic analysis of the breast cancer susceptibility genes
topic Other
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3850798/
https://www.ncbi.nlm.nih.gov/pubmed/10595253
http://dx.doi.org/10.1155/1999/238375
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