Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2017 Feb 23:5:e3046.
doi: 10.7717/peerj.3046. eCollection 2017.

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

Affiliations

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

Valentina S Vysotskaia et al. PeerJ. .

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.

Keywords: Analytical validation; Hereditary cancer; Multigene panel testing; Next generation sequencing.

PubMed Disclaimer

Conflict of interest statement

All authors, except Alex D. Robertson and Imran S. Haque, are current employees of Counsyl, Inc. Alex is a former employee of Counsyl and is currently employed by Color Genomics, Inc. Imran is also a former employee of Counsyl and is currently employed by Freenome, Inc.

Similar articles

Cited by

References

    1. 1000 Genomes Project Consortium. Abecasis GR, Auton A, Brooks LD, DePristo MA, Durbin RM, Handsaker RE, Kang HM, Marth GT, McVean GA. An integrated map of genetic variation from 1,092 human genomes. Nature. 2012;491:56–65. doi: 10.1038/nature11564. - DOI - PMC - PubMed
    1. American College of Medical Genetics and Genomics Standards and guidelines for the interpretation of sequence variants: a joint consensus recommendation of the American college of medical genetics and genomics and the association for molecular pathology. https://www.acmg.net/ [27 February 2015];2015 - PMC - PubMed
    1. Anders S, Huber W. Differential expression analysis for sequence count data. Genome Biology. 2010;11 doi: 10.1186/gb-2010-11-10-r106. Article R106. - DOI - PMC - PubMed
    1. Barrois M, Bièche I, Mazoyer S, Champème MH, Bressac-de Paillerets B, Lidereau R. Real-time PCR-based gene dosage assay for detecting BRCA1 rearrangements in breast-ovarian cancer families. Clinical Genetics. 2004;65(2):131–136. - PubMed
    1. Beck TF, Mullikin JC, NISC Comparative Sequencing Program. Biesecker LG. Systematic evaluation of Sanger validation of next-generation sequencing variants. Clinical Chemistry. 2016;62(4):647–654. doi: 10.1373/clinchem.2015.249623. - DOI - PMC - PubMed

Further reading

    1. Antoniou AC, Casadei S, Heikkinen T, Barrowdale D, Pylkäs K, Roberts J, Lee A, Subramanian D, De Leeneer K, Fostira F, Tomiak E, Neuhausen SL, Teo ZL, Khan S, Aittomäki K, Moilanen JS, Turnbull C, Seal S, Mannermaa A, Kallioniemi A, Lindeman GJ, Buys SS, Andrulis IL, Radice P, Tondini C, Manoukian S, Toland AE, Miron P, Weitzel JN, Domchek SM, Poppe B, Claes KBM, Yannoukakos D, Concannon P, Bernstein JL, James PA, Easton DF, Goldgar DE, Hopper JL, Rahman N, Peterlongo P, Nevanlinna H, King M-C, Couch FJ, Southey MC, Winqvist R, Foulkes WD, Tischkowitz M. Breast-cancer risk in families with mutations in PALB2. New England Journal of Medicine. 2014;371(6):497–506. doi: 10.1056/NEJMoa1400382. - DOI - PMC - PubMed
    1. Apostolou P, Fostira F. Hereditary breast cancer: the era of new susceptibility genes. BioMed Research International. 2013;2013:747318. doi: 10.1155/2013/747318. - DOI - PMC - PubMed
    1. Bartkova J, Tommiska J, Oplustilova L, Aaltonen K, Tamminen A, Heikkinen T, Mistrik M, Aittomäki K, Blomqvist C, Heikkilä P, Lukas J, Nevanlinna H, Bartek J. Aberrations of the MRE11-RAD50-NBS1 DNA damage sensor complex in human breast cancer: MRE11 as a candidate familial cancer-predisposing gene. Molecular Oncology. 2008;2(4):296–316. doi: 10.1016/j.molonc.2008.09.007. - DOI - PMC - PubMed
    1. Bellido F, Pineda M, Aiza G, Valdés-Mas R, Navarro M, Puente DA, Pons T, González S, Iglesias S, Darder E, Piñol V, Soto JL, Valencia A, Blanco I, Urioste M, Brunet J, Lázaro C, Capellá G, Puente XS, Valle L. POLE and POLD1 mutations in 529 kindred with familial colorectal cancer and/or polyposis: review of reported cases and recommendations for genetic testing and surveillance. Genetics in Medicine. 2016;18(4):325–332. doi: 10.1038/gim.2015.75. - DOI - PMC - PubMed
    1. Damiola F, Pertesi M, Oliver J, Le Calvez-Kelm F, Voegele C, Young EL, Robinot N, Forey N, Durand G, Vallée MP, Tao K, Roane TC, Williams GJ, Hopper JL, Southey MC, Andrulis IL, John EM, Goldgar DE, Lesueur F, Tavtigian SV. Rare key functional domain missense substitutions in MRE11A, RAD50, and NBN contribute to breast cancer susceptibility: results from a Breast Cancer Family Registry case-control mutation-screening study. Breast Cancer Research. 2014;16(3) doi: 10.1186/bcr3669. Article R58. - DOI - PMC - PubMed