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Improved structural variant interpretation for hereditary cancer susceptibility using long-read sequencing
PURPOSE: Structural variants (SVs) may be an underestimated cause of hereditary cancer syndromes given the current limitations of short-read next-generation sequencing. Here we investigated the utility of long-read sequencing in resolving germline SVs in cancer susceptibility genes detected through...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group US
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7605438/ https://www.ncbi.nlm.nih.gov/pubmed/32624572 http://dx.doi.org/10.1038/s41436-020-0880-8 |
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author | Thibodeau, My Linh O’Neill, Kieran Dixon, Katherine Reisle, Caralyn Mungall, Karen L. Krzywinski, Martin Shen, Yaoqing Lim, Howard J. Cheng, Dean Tse, Kane Wong, Tina Chuah, Eric Fok, Alexandra Sun, Sophie Renouf, Daniel Schaeffer, David F. Cremin, Carol Chia, Stephen Young, Sean Pandoh, Pawan Pleasance, Stephen Pleasance, Erin Mungall, Andrew J. Moore, Richard Yip, Stephen Karsan, Aly Laskin, Janessa Marra, Marco A. Schrader, Kasmintan A. Jones, Steven J. M. |
author_facet | Thibodeau, My Linh O’Neill, Kieran Dixon, Katherine Reisle, Caralyn Mungall, Karen L. Krzywinski, Martin Shen, Yaoqing Lim, Howard J. Cheng, Dean Tse, Kane Wong, Tina Chuah, Eric Fok, Alexandra Sun, Sophie Renouf, Daniel Schaeffer, David F. Cremin, Carol Chia, Stephen Young, Sean Pandoh, Pawan Pleasance, Stephen Pleasance, Erin Mungall, Andrew J. Moore, Richard Yip, Stephen Karsan, Aly Laskin, Janessa Marra, Marco A. Schrader, Kasmintan A. Jones, Steven J. M. |
author_sort | Thibodeau, My Linh |
collection | PubMed |
description | PURPOSE: Structural variants (SVs) may be an underestimated cause of hereditary cancer syndromes given the current limitations of short-read next-generation sequencing. Here we investigated the utility of long-read sequencing in resolving germline SVs in cancer susceptibility genes detected through short-read genome sequencing. METHODS: Known or suspected deleterious germline SVs were identified using Illumina genome sequencing across a cohort of 669 advanced cancer patients with paired tumor genome and transcriptome sequencing. Candidate SVs were subsequently assessed by Oxford Nanopore long-read sequencing. RESULTS: Nanopore sequencing confirmed eight simple pathogenic or likely pathogenic SVs, resolving three additional variants whose impact could not be fully elucidated through short-read sequencing. A recurrent sequencing artifact on chromosome 16p13 and one complex rearrangement on chromosome 5q35 were subsequently classified as likely benign, obviating the need for further clinical assessment. Variant configuration was further resolved in one case with a complex pathogenic rearrangement affecting TSC2. CONCLUSION: Our findings demonstrate that long-read sequencing can improve the validation, resolution, and classification of germline SVs. This has important implications for return of results, cascade carrier testing, cancer screening, and prophylactic interventions. |
format | Online Article Text |
id | pubmed-7605438 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group US |
record_format | MEDLINE/PubMed |
spelling | pubmed-76054382020-11-12 Improved structural variant interpretation for hereditary cancer susceptibility using long-read sequencing Thibodeau, My Linh O’Neill, Kieran Dixon, Katherine Reisle, Caralyn Mungall, Karen L. Krzywinski, Martin Shen, Yaoqing Lim, Howard J. Cheng, Dean Tse, Kane Wong, Tina Chuah, Eric Fok, Alexandra Sun, Sophie Renouf, Daniel Schaeffer, David F. Cremin, Carol Chia, Stephen Young, Sean Pandoh, Pawan Pleasance, Stephen Pleasance, Erin Mungall, Andrew J. Moore, Richard Yip, Stephen Karsan, Aly Laskin, Janessa Marra, Marco A. Schrader, Kasmintan A. Jones, Steven J. M. Genet Med Brief Communication PURPOSE: Structural variants (SVs) may be an underestimated cause of hereditary cancer syndromes given the current limitations of short-read next-generation sequencing. Here we investigated the utility of long-read sequencing in resolving germline SVs in cancer susceptibility genes detected through short-read genome sequencing. METHODS: Known or suspected deleterious germline SVs were identified using Illumina genome sequencing across a cohort of 669 advanced cancer patients with paired tumor genome and transcriptome sequencing. Candidate SVs were subsequently assessed by Oxford Nanopore long-read sequencing. RESULTS: Nanopore sequencing confirmed eight simple pathogenic or likely pathogenic SVs, resolving three additional variants whose impact could not be fully elucidated through short-read sequencing. A recurrent sequencing artifact on chromosome 16p13 and one complex rearrangement on chromosome 5q35 were subsequently classified as likely benign, obviating the need for further clinical assessment. Variant configuration was further resolved in one case with a complex pathogenic rearrangement affecting TSC2. CONCLUSION: Our findings demonstrate that long-read sequencing can improve the validation, resolution, and classification of germline SVs. This has important implications for return of results, cascade carrier testing, cancer screening, and prophylactic interventions. Nature Publishing Group US 2020-07-06 2020 /pmc/articles/PMC7605438/ /pubmed/32624572 http://dx.doi.org/10.1038/s41436-020-0880-8 Text en © The Author(s) 2020 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 Thibodeau, My Linh O’Neill, Kieran Dixon, Katherine Reisle, Caralyn Mungall, Karen L. Krzywinski, Martin Shen, Yaoqing Lim, Howard J. Cheng, Dean Tse, Kane Wong, Tina Chuah, Eric Fok, Alexandra Sun, Sophie Renouf, Daniel Schaeffer, David F. Cremin, Carol Chia, Stephen Young, Sean Pandoh, Pawan Pleasance, Stephen Pleasance, Erin Mungall, Andrew J. Moore, Richard Yip, Stephen Karsan, Aly Laskin, Janessa Marra, Marco A. Schrader, Kasmintan A. Jones, Steven J. M. Improved structural variant interpretation for hereditary cancer susceptibility using long-read sequencing |
title | Improved structural variant interpretation for hereditary cancer susceptibility using long-read sequencing |
title_full | Improved structural variant interpretation for hereditary cancer susceptibility using long-read sequencing |
title_fullStr | Improved structural variant interpretation for hereditary cancer susceptibility using long-read sequencing |
title_full_unstemmed | Improved structural variant interpretation for hereditary cancer susceptibility using long-read sequencing |
title_short | Improved structural variant interpretation for hereditary cancer susceptibility using long-read sequencing |
title_sort | improved structural variant interpretation for hereditary cancer susceptibility using long-read sequencing |
topic | Brief Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7605438/ https://www.ncbi.nlm.nih.gov/pubmed/32624572 http://dx.doi.org/10.1038/s41436-020-0880-8 |
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