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Development and validation of a 36-gene sequencing assay for hereditary cancer risk assessment

Valentina S. Vysotskaia, Gregory J. Hogan, Genevieve M. Gould, Xin Wang, Alex D. Robertson, Kevin R. Haas, Mark R. Theilmann, Lindsay Spurka, Peter V. Grauman, Henry H. Lai, Diana Jeon, Genevieve Haliburton, Matt Leggett, Clement S. Chu, Kevin Iori, Jared R. Maguire, Kaylene Ready, Eric A. Evans, H. Peter Kang, Imran S. Haque
doi: https://doi.org/10.1101/088252
Valentina S. Vysotskaia
1Counsyl Inc., South San Francisco, CA, USA
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Gregory J. Hogan
1Counsyl Inc., South San Francisco, CA, USA
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Genevieve M. Gould
1Counsyl Inc., South San Francisco, CA, USA
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Xin Wang
1Counsyl Inc., South San Francisco, CA, USA
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Alex D. Robertson
2Color Genomics Inc., Burlingame, CA, USA
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Kevin R. Haas
1Counsyl Inc., South San Francisco, CA, USA
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Mark R. Theilmann
1Counsyl Inc., South San Francisco, CA, USA
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Lindsay Spurka
1Counsyl Inc., South San Francisco, CA, USA
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Peter V. Grauman
1Counsyl Inc., South San Francisco, CA, USA
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Henry H. Lai
1Counsyl Inc., South San Francisco, CA, USA
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Diana Jeon
1Counsyl Inc., South San Francisco, CA, USA
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Genevieve Haliburton
1Counsyl Inc., South San Francisco, CA, USA
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Matt Leggett
1Counsyl Inc., South San Francisco, CA, USA
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Clement S. Chu
1Counsyl Inc., South San Francisco, CA, USA
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Kevin Iori
1Counsyl Inc., South San Francisco, CA, USA
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Jared R. Maguire
1Counsyl Inc., South San Francisco, CA, USA
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Kaylene Ready
1Counsyl Inc., South San Francisco, CA, USA
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Eric A. Evans
1Counsyl Inc., South San Francisco, CA, USA
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H. Peter Kang
1Counsyl Inc., South San Francisco, CA, USA
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Imran S. Haque
1Counsyl Inc., South San Francisco, CA, USA
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ABSTRACT

The past two decades have brought many important advances in our understanding of the hereditary susceptibility to cancer. Numerous studies have provided convincing evidence that identification of germline mutations associated with hereditary cancer syndromes can lead to reductions in morbidity and mortality through targeted risk management options. Additionally, advances in gene sequencing technology now permit the development of multigene hereditary cancer testing panels. Here, we describe the 2016 revision of the Counsyl Inherited Cancer Screen for detecting single-nucleotide variants (SNVs), short insertions and deletions (indels), and copy number variants (CNVs) in 36 genes associated with an elevated risk for breast, ovarian, colorectal, gastric, endometrial, pancreatic, thyroid, prostate, melanoma, and neuroendocrine cancers. To determine test accuracy and reproducibility, we performed a rigorous analytical validation across 341 samples, including 118 cell lines and 223 patient samples. The screen achieved 100% test sensitivity across different mutation types, with high specificity and 100% concordance with conventional Sanger sequencing and multiplex ligation-dependent probe amplification (MLPA). We also demonstrated the screen’s high intra-run and inter-run reproducibility and robust performance on blood and saliva specimens. Furthermore, we showed that pathogenic Alu element insertions can be accurately detected by our test. Overall, the validation in our clinical laboratory demonstrated the analytical performance required for collecting and reporting genetic information related to risk of developing hereditary cancers.

Footnotes

  • ↵^ These authors jointly supervised this work.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC 4.0 International license.
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Posted December 07, 2016.
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Development and validation of a 36-gene sequencing assay for hereditary cancer risk assessment
Valentina S. Vysotskaia, Gregory J. Hogan, Genevieve M. Gould, Xin Wang, Alex D. Robertson, Kevin R. Haas, Mark R. Theilmann, Lindsay Spurka, Peter V. Grauman, Henry H. Lai, Diana Jeon, Genevieve Haliburton, Matt Leggett, Clement S. Chu, Kevin Iori, Jared R. Maguire, Kaylene Ready, Eric A. Evans, H. Peter Kang, Imran S. Haque
bioRxiv 088252; doi: https://doi.org/10.1101/088252
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Development and validation of a 36-gene sequencing assay for hereditary cancer risk assessment
Valentina S. Vysotskaia, Gregory J. Hogan, Genevieve M. Gould, Xin Wang, Alex D. Robertson, Kevin R. Haas, Mark R. Theilmann, Lindsay Spurka, Peter V. Grauman, Henry H. Lai, Diana Jeon, Genevieve Haliburton, Matt Leggett, Clement S. Chu, Kevin Iori, Jared R. Maguire, Kaylene Ready, Eric A. Evans, H. Peter Kang, Imran S. Haque
bioRxiv 088252; doi: https://doi.org/10.1101/088252

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