Analysis of Sequence and Copy Number Variants in Canadian Patient Cohort With Familial Cancer Syndromes Using a Unique Next Generation Sequencing Based Approach

• Published in: Frontiers in genetics Vol. 12; p. 698595
• Main Authors: 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
• Format: Journal Article
• Language: English
• Published: Frontiers Media S.A 13.07.2021
• Subjects: breast cancer; colorectal cancer; copy number variants; familial cancer syndromes; Genetics; next generation sequencing
• ISSN: 1664-8021; 1664-8021
• DOI: 10.3389/fgene.2021.698595

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.