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Improved structural variant interpretation for hereditary cancer susceptibility using long-read sequencing

Publication

Date: 6th July 2020 | Source: Genetics in Medicine

Authors: My Linh Thibodeau, Kieran O’Neill, Katherine Dixon, Caralyn Reisle, Karen L. Mungall, Martin Krzywinski, Yaoqing Shen, Howard J. Lim, Dean Cheng, Kane Tse, Tina Wong, Eric Chuah, Alexandra Fok, Sophie Sun, Daniel Renouf, David F. Schaeffer, Carol Cremin, Stephen Chia, Sean Young, Pawan Pandoh, Stephen Pleasance, Erin Pleasance, Andrew J. Mungall, Richard Moore, Stephen Yip, Aly Karsan, Janessa Laskin, Marco A. Marra, Kasmintan A. Schrader, Steven J. M. Jones.

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.

Read the full text Read the SV white paper Investigating SVs with nanopore sequencing

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