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Analysis of Sequence and Copy Number Variants in Canadian Patient Cohort With Familial Cancer Syndromes Using a Unique Next Generation Sequencing Based Approach
BACKGROUND: Hereditary cancer predisposition syndromes account for approximately 10% of cancer cases. Next generation sequencing (NGS) based multi-gene targeted panels is now a frontline approach to identify pathogenic mutations in cancer predisposition genes in high-risk families. Recent evolvement...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8314385/ https://www.ncbi.nlm.nih.gov/pubmed/34326862 http://dx.doi.org/10.3389/fgene.2021.698595 |
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author | Bhai, Pratibha Levy, Michael A. Rooney, Kathleen Carere, Deanna Alexis Reilly, Jack Kerkhof, Jennifer Volodarsky, Michael Stuart, Alan Kadour, Mike Panabaker, Karen Schenkel, Laila C. Lin, Hanxin Ainsworth, Peter Sadikovic, Bekim |
author_facet | Bhai, Pratibha Levy, Michael A. Rooney, Kathleen Carere, Deanna Alexis Reilly, Jack Kerkhof, Jennifer Volodarsky, Michael Stuart, Alan Kadour, Mike Panabaker, Karen Schenkel, Laila C. Lin, Hanxin Ainsworth, Peter Sadikovic, Bekim |
author_sort | Bhai, Pratibha |
collection | PubMed |
description | BACKGROUND: Hereditary cancer predisposition syndromes account for approximately 10% of cancer cases. Next generation sequencing (NGS) based multi-gene targeted panels is now a frontline approach to identify pathogenic mutations in cancer predisposition genes in high-risk families. Recent evolvement of NGS technologies have allowed simultaneous detection of sequence and copy number variants (CNVs) using a single platform. In this study, we have analyzed frequency and nature of sequence variants and CNVs, in a Canadian cohort of patients, suspected with hereditary cancer syndrome, referred for genetic testing following specific genetic testing guidelines based on patient’s personal and/or family history of cancer. METHODS: A 2870 patients were subjected to a single NGS based multi-gene targeted hereditary cancer panel testing algorithm to identify sequence variants and CNVs in cancer predisposition genes at our reference laboratory in Southwestern Ontario. CNVs identified by NGS were confirmed by alternative techniques like Multiplex ligation-dependent probe amplification (MLPA). RESULTS: A 15% (431/2870) patients had a pathogenic variant and 36% (1032/2870) had a variant of unknown significance (VUS), in a cancer susceptibility gene. A total of 287 unique pathogenic variant were identified, out of which 23 (8%) were novel. CNVs identified by NGS based approach accounted for 9.5% (27/287) of pathogenic variants, confirmed by alternate techniques with high accuracy. CONCLUSION: This study emphasizes the utility of NGS based targeted testing approach to identify both sequence and CNVs in patients suspected with hereditary cancer syndromes in clinical setting and expands the mutational spectrum of high and moderate penetrance cancer predisposition genes. |
format | Online Article Text |
id | pubmed-8314385 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-83143852021-07-28 Analysis of Sequence and Copy Number Variants in Canadian Patient Cohort With Familial Cancer Syndromes Using a Unique Next Generation Sequencing Based Approach Bhai, Pratibha Levy, Michael A. Rooney, Kathleen Carere, Deanna Alexis Reilly, Jack Kerkhof, Jennifer Volodarsky, Michael Stuart, Alan Kadour, Mike Panabaker, Karen Schenkel, Laila C. Lin, Hanxin Ainsworth, Peter Sadikovic, Bekim Front Genet Genetics BACKGROUND: Hereditary cancer predisposition syndromes account for approximately 10% of cancer cases. Next generation sequencing (NGS) based multi-gene targeted panels is now a frontline approach to identify pathogenic mutations in cancer predisposition genes in high-risk families. Recent evolvement of NGS technologies have allowed simultaneous detection of sequence and copy number variants (CNVs) using a single platform. In this study, we have analyzed frequency and nature of sequence variants and CNVs, in a Canadian cohort of patients, suspected with hereditary cancer syndrome, referred for genetic testing following specific genetic testing guidelines based on patient’s personal and/or family history of cancer. METHODS: A 2870 patients were subjected to a single NGS based multi-gene targeted hereditary cancer panel testing algorithm to identify sequence variants and CNVs in cancer predisposition genes at our reference laboratory in Southwestern Ontario. CNVs identified by NGS were confirmed by alternative techniques like Multiplex ligation-dependent probe amplification (MLPA). RESULTS: A 15% (431/2870) patients had a pathogenic variant and 36% (1032/2870) had a variant of unknown significance (VUS), in a cancer susceptibility gene. A total of 287 unique pathogenic variant were identified, out of which 23 (8%) were novel. CNVs identified by NGS based approach accounted for 9.5% (27/287) of pathogenic variants, confirmed by alternate techniques with high accuracy. CONCLUSION: This study emphasizes the utility of NGS based targeted testing approach to identify both sequence and CNVs in patients suspected with hereditary cancer syndromes in clinical setting and expands the mutational spectrum of high and moderate penetrance cancer predisposition genes. Frontiers Media S.A. 2021-07-13 /pmc/articles/PMC8314385/ /pubmed/34326862 http://dx.doi.org/10.3389/fgene.2021.698595 Text en Copyright © 2021 Bhai, Levy, Rooney, Carere, Reilly, Kerkhof, Volodarsky, Stuart, Kadour, Panabaker, Schenkel, Lin, Ainsworth and Sadikovic. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Genetics Bhai, Pratibha Levy, Michael A. Rooney, Kathleen Carere, Deanna Alexis Reilly, Jack Kerkhof, Jennifer Volodarsky, Michael Stuart, Alan Kadour, Mike Panabaker, Karen Schenkel, Laila C. Lin, Hanxin Ainsworth, Peter Sadikovic, Bekim Analysis of Sequence and Copy Number Variants in Canadian Patient Cohort With Familial Cancer Syndromes Using a Unique Next Generation Sequencing Based Approach |
title | Analysis of Sequence and Copy Number Variants in Canadian Patient Cohort With Familial Cancer Syndromes Using a Unique Next Generation Sequencing Based Approach |
title_full | Analysis of Sequence and Copy Number Variants in Canadian Patient Cohort With Familial Cancer Syndromes Using a Unique Next Generation Sequencing Based Approach |
title_fullStr | Analysis of Sequence and Copy Number Variants in Canadian Patient Cohort With Familial Cancer Syndromes Using a Unique Next Generation Sequencing Based Approach |
title_full_unstemmed | Analysis of Sequence and Copy Number Variants in Canadian Patient Cohort With Familial Cancer Syndromes Using a Unique Next Generation Sequencing Based Approach |
title_short | Analysis of Sequence and Copy Number Variants in Canadian Patient Cohort With Familial Cancer Syndromes Using a Unique Next Generation Sequencing Based Approach |
title_sort | analysis of sequence and copy number variants in canadian patient cohort with familial cancer syndromes using a unique next generation sequencing based approach |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8314385/ https://www.ncbi.nlm.nih.gov/pubmed/34326862 http://dx.doi.org/10.3389/fgene.2021.698595 |
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