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Migrating the SNP array-based homologous recombination deficiency measures to next generation sequencing data of breast cancer
The first genomic scar-based homologous recombination deficiency (HRD) measures were produced using SNP arrays. As array-based technology has been largely replaced by next generation sequencing approaches, it has become important to develop algorithms that derive the same type of genomic scar scores...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6028448/ https://www.ncbi.nlm.nih.gov/pubmed/29978035 http://dx.doi.org/10.1038/s41523-018-0066-6 |
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author | Sztupinszki, Zsofia Diossy, Miklos Krzystanek, Marcin Reiniger, Lilla Csabai, István Favero, Francesco Birkbak, Nicolai J. Eklund, Aron C. Syed, Ali Szallasi, Zoltan |
author_facet | Sztupinszki, Zsofia Diossy, Miklos Krzystanek, Marcin Reiniger, Lilla Csabai, István Favero, Francesco Birkbak, Nicolai J. Eklund, Aron C. Syed, Ali Szallasi, Zoltan |
author_sort | Sztupinszki, Zsofia |
collection | PubMed |
description | The first genomic scar-based homologous recombination deficiency (HRD) measures were produced using SNP arrays. As array-based technology has been largely replaced by next generation sequencing approaches, it has become important to develop algorithms that derive the same type of genomic scar scores from next generation sequencing (whole exome “WXS”, whole genome “WGS”) data. In order to perform this analysis, we introduce here the scarHRD R package and show that using this method the SNP array-based and next generation sequencing-based derivation of HRD scores show good correlation (Pearson correlation between 0.73 and 0.87 depending on the actual HRD measure) and that the NGS-based HRD scores distinguish similarly well between BRCA mutant and BRCA wild-type cases in a cohort of triple-negative breast cancer patients of the TCGA data set. |
format | Online Article Text |
id | pubmed-6028448 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-60284482018-07-05 Migrating the SNP array-based homologous recombination deficiency measures to next generation sequencing data of breast cancer Sztupinszki, Zsofia Diossy, Miklos Krzystanek, Marcin Reiniger, Lilla Csabai, István Favero, Francesco Birkbak, Nicolai J. Eklund, Aron C. Syed, Ali Szallasi, Zoltan NPJ Breast Cancer Brief Communication The first genomic scar-based homologous recombination deficiency (HRD) measures were produced using SNP arrays. As array-based technology has been largely replaced by next generation sequencing approaches, it has become important to develop algorithms that derive the same type of genomic scar scores from next generation sequencing (whole exome “WXS”, whole genome “WGS”) data. In order to perform this analysis, we introduce here the scarHRD R package and show that using this method the SNP array-based and next generation sequencing-based derivation of HRD scores show good correlation (Pearson correlation between 0.73 and 0.87 depending on the actual HRD measure) and that the NGS-based HRD scores distinguish similarly well between BRCA mutant and BRCA wild-type cases in a cohort of triple-negative breast cancer patients of the TCGA data set. Nature Publishing Group UK 2018-07-02 /pmc/articles/PMC6028448/ /pubmed/29978035 http://dx.doi.org/10.1038/s41523-018-0066-6 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Brief Communication Sztupinszki, Zsofia Diossy, Miklos Krzystanek, Marcin Reiniger, Lilla Csabai, István Favero, Francesco Birkbak, Nicolai J. Eklund, Aron C. Syed, Ali Szallasi, Zoltan Migrating the SNP array-based homologous recombination deficiency measures to next generation sequencing data of breast cancer |
title | Migrating the SNP array-based homologous recombination deficiency measures to next generation sequencing data of breast cancer |
title_full | Migrating the SNP array-based homologous recombination deficiency measures to next generation sequencing data of breast cancer |
title_fullStr | Migrating the SNP array-based homologous recombination deficiency measures to next generation sequencing data of breast cancer |
title_full_unstemmed | Migrating the SNP array-based homologous recombination deficiency measures to next generation sequencing data of breast cancer |
title_short | Migrating the SNP array-based homologous recombination deficiency measures to next generation sequencing data of breast cancer |
title_sort | migrating the snp array-based homologous recombination deficiency measures to next generation sequencing data of breast cancer |
topic | Brief Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6028448/ https://www.ncbi.nlm.nih.gov/pubmed/29978035 http://dx.doi.org/10.1038/s41523-018-0066-6 |
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