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

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...

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Autores principales: Vysotskaia, Valentina S., Hogan, Gregory J., Gould, Genevieve M., Wang, Xin, Robertson, Alex D., Haas, Kevin R., Theilmann, Mark R., Spurka, Lindsay, Grauman, Peter V., Lai, Henry H., Jeon, Diana, Haliburton, Genevieve, Leggett, Matt, Chu, Clement S., Iori, Kevin, Maguire, Jared R., Ready, Kaylene, Evans, Eric A., Kang, Hyunseok P., Haque, Imran S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5326550/
https://www.ncbi.nlm.nih.gov/pubmed/28243543
http://dx.doi.org/10.7717/peerj.3046
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author Vysotskaia, Valentina S.
Hogan, Gregory J.
Gould, Genevieve M.
Wang, Xin
Robertson, Alex D.
Haas, Kevin R.
Theilmann, Mark R.
Spurka, Lindsay
Grauman, Peter V.
Lai, Henry H.
Jeon, Diana
Haliburton, Genevieve
Leggett, Matt
Chu, Clement S.
Iori, Kevin
Maguire, Jared R.
Ready, Kaylene
Evans, Eric A.
Kang, Hyunseok P.
Haque, Imran S.
author_facet Vysotskaia, Valentina S.
Hogan, Gregory J.
Gould, Genevieve M.
Wang, Xin
Robertson, Alex D.
Haas, Kevin R.
Theilmann, Mark R.
Spurka, Lindsay
Grauman, Peter V.
Lai, Henry H.
Jeon, Diana
Haliburton, Genevieve
Leggett, Matt
Chu, Clement S.
Iori, Kevin
Maguire, Jared R.
Ready, Kaylene
Evans, Eric A.
Kang, Hyunseok P.
Haque, Imran S.
author_sort Vysotskaia, Valentina S.
collection PubMed
description 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.
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spelling pubmed-53265502017-02-27 Development and validation of a 36-gene sequencing assay for hereditary cancer risk assessment Vysotskaia, Valentina S. Hogan, Gregory J. Gould, Genevieve M. Wang, Xin Robertson, Alex D. Haas, Kevin R. Theilmann, Mark R. Spurka, Lindsay Grauman, Peter V. Lai, Henry H. Jeon, Diana Haliburton, Genevieve Leggett, Matt Chu, Clement S. Iori, Kevin Maguire, Jared R. Ready, Kaylene Evans, Eric A. Kang, Hyunseok P. Haque, Imran S. PeerJ Genomics 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. PeerJ Inc. 2017-02-23 /pmc/articles/PMC5326550/ /pubmed/28243543 http://dx.doi.org/10.7717/peerj.3046 Text en ©2017 Vysotskaia et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Genomics
Vysotskaia, Valentina S.
Hogan, Gregory J.
Gould, Genevieve M.
Wang, Xin
Robertson, Alex D.
Haas, Kevin R.
Theilmann, Mark R.
Spurka, Lindsay
Grauman, Peter V.
Lai, Henry H.
Jeon, Diana
Haliburton, Genevieve
Leggett, Matt
Chu, Clement S.
Iori, Kevin
Maguire, Jared R.
Ready, Kaylene
Evans, Eric A.
Kang, Hyunseok P.
Haque, Imran S.
Development and validation of a 36-gene sequencing assay for hereditary cancer risk assessment
title Development and validation of a 36-gene sequencing assay for hereditary cancer risk assessment
title_full Development and validation of a 36-gene sequencing assay for hereditary cancer risk assessment
title_fullStr Development and validation of a 36-gene sequencing assay for hereditary cancer risk assessment
title_full_unstemmed Development and validation of a 36-gene sequencing assay for hereditary cancer risk assessment
title_short Development and validation of a 36-gene sequencing assay for hereditary cancer risk assessment
title_sort development and validation of a 36-gene sequencing assay for hereditary cancer risk assessment
topic Genomics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5326550/
https://www.ncbi.nlm.nih.gov/pubmed/28243543
http://dx.doi.org/10.7717/peerj.3046
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