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Genetic diagnosis of familial breast cancer using clonal sequencing

Genetic diagnosis of familial breast cancer using clonal sequencing
Genetic diagnosis of familial breast cancer using clonal sequencing
Using conventional Sanger sequencing as a reference standard, we compared the sensitivity, specificity, and capacity of the Illumina GA II platform for the detection of TP53, BRCA1, and BRCA2 mutations in established tumor cell lines and DNA from patients with germline mutations. A total of 656 coding variants were identified in four cell lines and 65 patient DNAs. All of the known pathogenic mutations (including point mutations and insertions/deletions of up to 16 nucleotides) were identified, using a combination of the Illumina data analysis pipeline with custom and commercial sequence alignment software. In our configuration, clonal sequencing outperforms current diagnostic methods, providing a reduction in analysis times and in reagent costs compared with conventional sequencing. These improvements open the possibility of BRCA1/2 testing for a wider spectrum of at-risk women, and will allow the genetic classification of tumors prior to the use of novel PARP inhibitors to treat BRCA-deficient breast cancers.
breast cancer, diagnostics, TP53, BRCA1, BRCA2
1059-7794
484-491
Morgan, Joanne E.
62b39a84-20e4-456e-862a-302ee8f77345
Carr, Ian M.
26ecf6db-ee39-46e6-bfd2-1bbdf33fe2b3
Sheridan, Eamonn
5df687dd-6945-4092-a06a-558f05c74176
Chu, Carol E.
ea69a5e9-1ee7-4d8d-af21-26dbb280a577
Hayward, Bruce
4fd88e00-ef2a-41d2-a326-6cae12a44d54
Camm, Nick
107496d0-4a61-4b7b-9a9a-2b47e4a3cc6e
Lindsay, Helen A.
f69adeb7-d467-4e1b-a972-8c622f585a34
Mattocks, Chris J.
2d943111-cfdf-4f0d-9ecc-0737e541fe36
Markham, Alexander F.
ea6de402-5535-44e6-a3f8-83a633b61c46
Bonthron, David T.
2e7a8398-acae-4cc1-992c-0136594bc1ae
Taylor, Graham R.
e07ffb5e-6d60-431e-8ae7-6c240b0657ce
Morgan, Joanne E.
62b39a84-20e4-456e-862a-302ee8f77345
Carr, Ian M.
26ecf6db-ee39-46e6-bfd2-1bbdf33fe2b3
Sheridan, Eamonn
5df687dd-6945-4092-a06a-558f05c74176
Chu, Carol E.
ea69a5e9-1ee7-4d8d-af21-26dbb280a577
Hayward, Bruce
4fd88e00-ef2a-41d2-a326-6cae12a44d54
Camm, Nick
107496d0-4a61-4b7b-9a9a-2b47e4a3cc6e
Lindsay, Helen A.
f69adeb7-d467-4e1b-a972-8c622f585a34
Mattocks, Chris J.
2d943111-cfdf-4f0d-9ecc-0737e541fe36
Markham, Alexander F.
ea6de402-5535-44e6-a3f8-83a633b61c46
Bonthron, David T.
2e7a8398-acae-4cc1-992c-0136594bc1ae
Taylor, Graham R.
e07ffb5e-6d60-431e-8ae7-6c240b0657ce

Morgan, Joanne E., Carr, Ian M., Sheridan, Eamonn, Chu, Carol E., Hayward, Bruce, Camm, Nick, Lindsay, Helen A., Mattocks, Chris J., Markham, Alexander F., Bonthron, David T. and Taylor, Graham R. (2010) Genetic diagnosis of familial breast cancer using clonal sequencing. Human Mutation, 31 (4), 484-491. (doi:10.1002/humu.21216). (PMID:20127978)

Record type: Article

Abstract

Using conventional Sanger sequencing as a reference standard, we compared the sensitivity, specificity, and capacity of the Illumina GA II platform for the detection of TP53, BRCA1, and BRCA2 mutations in established tumor cell lines and DNA from patients with germline mutations. A total of 656 coding variants were identified in four cell lines and 65 patient DNAs. All of the known pathogenic mutations (including point mutations and insertions/deletions of up to 16 nucleotides) were identified, using a combination of the Illumina data analysis pipeline with custom and commercial sequence alignment software. In our configuration, clonal sequencing outperforms current diagnostic methods, providing a reduction in analysis times and in reagent costs compared with conventional sequencing. These improvements open the possibility of BRCA1/2 testing for a wider spectrum of at-risk women, and will allow the genetic classification of tumors prior to the use of novel PARP inhibitors to treat BRCA-deficient breast cancers.

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More information

Published date: April 2010
Keywords: breast cancer, diagnostics, TP53, BRCA1, BRCA2
Organisations: Human Development & Health

Identifiers

Local EPrints ID: 338210
URI: http://eprints.soton.ac.uk/id/eprint/338210
ISSN: 1059-7794
PURE UUID: 48c898ca-f8ee-45d6-badf-9bc1d06044e3

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Date deposited: 11 May 2012 13:15
Last modified: 14 Mar 2024 11:02

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Contributors

Author: Joanne E. Morgan
Author: Ian M. Carr
Author: Eamonn Sheridan
Author: Carol E. Chu
Author: Bruce Hayward
Author: Nick Camm
Author: Helen A. Lindsay
Author: Chris J. Mattocks
Author: Alexander F. Markham
Author: David T. Bonthron
Author: Graham R. Taylor

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