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Deep Sequencing of Target Linkage Assay-Identified Regions in Familial Breast Cancer: Methods, Analysis Pipeline and Troubleshooting
BACKGROUND: The classical candidate-gene approach has failed to identify novel breast cancer susceptibility genes. Nowadays, massive parallel sequencing technology allows the development of studies unaffordable a few years ago. However, analysis protocols are not yet sufficiently developed to extrac...
Autores principales: | , , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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Public Library of Science
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2848842/ https://www.ncbi.nlm.nih.gov/pubmed/20368986 http://dx.doi.org/10.1371/journal.pone.0009976 |
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author | Rosa-Rosa, Juan Manuel Gracia-Aznárez, Francisco Javier Hodges, Emily Pita, Guillermo Rooks, Michelle Xuan, Zhenyu Bhattacharjee, Arindam Brizuela, Leonardo Silva, José M. Hannon, Gregory J. Benitez, Javier |
author_facet | Rosa-Rosa, Juan Manuel Gracia-Aznárez, Francisco Javier Hodges, Emily Pita, Guillermo Rooks, Michelle Xuan, Zhenyu Bhattacharjee, Arindam Brizuela, Leonardo Silva, José M. Hannon, Gregory J. Benitez, Javier |
author_sort | Rosa-Rosa, Juan Manuel |
collection | PubMed |
description | BACKGROUND: The classical candidate-gene approach has failed to identify novel breast cancer susceptibility genes. Nowadays, massive parallel sequencing technology allows the development of studies unaffordable a few years ago. However, analysis protocols are not yet sufficiently developed to extract all information from the huge amount of data obtained. METHODOLOGY/PRINCIPAL FINDINGS: In this study, we performed high throughput sequencing in two regions located on chromosomes 3 and 6, recently identified by linkage studies by our group as candidate regions for harbouring breast cancer susceptibility genes. In order to enrich for the coding regions of all described genes located in both candidate regions, a hybrid-selection method on tiling microarrays was performed. CONCLUSIONS/SIGNIFICANCE: We developed an analysis pipeline based on SOAP aligner to identify candidate variants with a high real positive confirmation rate (0.89), with which we identified eight variants considered candidates for functional studies. The results suggest that the present strategy might be a valid second step for identifying high penetrance genes. |
format | Text |
id | pubmed-2848842 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-28488422010-04-05 Deep Sequencing of Target Linkage Assay-Identified Regions in Familial Breast Cancer: Methods, Analysis Pipeline and Troubleshooting Rosa-Rosa, Juan Manuel Gracia-Aznárez, Francisco Javier Hodges, Emily Pita, Guillermo Rooks, Michelle Xuan, Zhenyu Bhattacharjee, Arindam Brizuela, Leonardo Silva, José M. Hannon, Gregory J. Benitez, Javier PLoS One Research Article BACKGROUND: The classical candidate-gene approach has failed to identify novel breast cancer susceptibility genes. Nowadays, massive parallel sequencing technology allows the development of studies unaffordable a few years ago. However, analysis protocols are not yet sufficiently developed to extract all information from the huge amount of data obtained. METHODOLOGY/PRINCIPAL FINDINGS: In this study, we performed high throughput sequencing in two regions located on chromosomes 3 and 6, recently identified by linkage studies by our group as candidate regions for harbouring breast cancer susceptibility genes. In order to enrich for the coding regions of all described genes located in both candidate regions, a hybrid-selection method on tiling microarrays was performed. CONCLUSIONS/SIGNIFICANCE: We developed an analysis pipeline based on SOAP aligner to identify candidate variants with a high real positive confirmation rate (0.89), with which we identified eight variants considered candidates for functional studies. The results suggest that the present strategy might be a valid second step for identifying high penetrance genes. Public Library of Science 2010-04-02 /pmc/articles/PMC2848842/ /pubmed/20368986 http://dx.doi.org/10.1371/journal.pone.0009976 Text en Rosa-Rosa et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Rosa-Rosa, Juan Manuel Gracia-Aznárez, Francisco Javier Hodges, Emily Pita, Guillermo Rooks, Michelle Xuan, Zhenyu Bhattacharjee, Arindam Brizuela, Leonardo Silva, José M. Hannon, Gregory J. Benitez, Javier Deep Sequencing of Target Linkage Assay-Identified Regions in Familial Breast Cancer: Methods, Analysis Pipeline and Troubleshooting |
title | Deep Sequencing of Target Linkage Assay-Identified Regions in Familial Breast Cancer: Methods, Analysis Pipeline and Troubleshooting |
title_full | Deep Sequencing of Target Linkage Assay-Identified Regions in Familial Breast Cancer: Methods, Analysis Pipeline and Troubleshooting |
title_fullStr | Deep Sequencing of Target Linkage Assay-Identified Regions in Familial Breast Cancer: Methods, Analysis Pipeline and Troubleshooting |
title_full_unstemmed | Deep Sequencing of Target Linkage Assay-Identified Regions in Familial Breast Cancer: Methods, Analysis Pipeline and Troubleshooting |
title_short | Deep Sequencing of Target Linkage Assay-Identified Regions in Familial Breast Cancer: Methods, Analysis Pipeline and Troubleshooting |
title_sort | deep sequencing of target linkage assay-identified regions in familial breast cancer: methods, analysis pipeline and troubleshooting |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2848842/ https://www.ncbi.nlm.nih.gov/pubmed/20368986 http://dx.doi.org/10.1371/journal.pone.0009976 |
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