Literature DB >> 27639548

Multiplexed Reference Materials as Controls for Diagnostic Next-Generation Sequencing: A Pilot Investigating Applications for Hypertrophic Cardiomyopathy.

Emily M Kudalkar1, Naif A M Almontashiri2, Catherine Huang3, Bharathi Anekella3, Mark Bowser1, Elizabeth Hynes1, Russell Garlick3, Birgit H Funke4.   

Abstract

Diagnostic next-generation sequencing (NGS)-based gene panels are increasingly used for prevalent disorders with genetic and clinical heterogeneity. Clinical development, validation, and quality management of these panels ideally includes reference samples containing prevalent pathogenic variants; however, clinical domain expertise to select appropriate variants may not be present, samples are often not publicly available, and their inclusion is associated with added cost. Expert-designed, multiplexed controls can remedy some of these challenges. One approach relies on spiking biosynthetic fragments carrying desired variants into human genomic DNA. We piloted the utility of this approach for hypertrophic cardiomyopathy. Data from >3000 previously sequenced probands were used to select 10 common pathogenic and/or technically challenging variants in the top hypertrophic cardiomyopathy genes. Multiplexed controls were constructed across a range of ideal and realistic allelic fractions for heterozygous germline variants. NGS was performed in quadruplicate, and results were compared with diagnostic NGS data for the source patient samples. Overall, results were indistinguishable from patient-derived data with variants being detected at or reasonably close to the targeted allelic fraction ratios. The exception was a common 25-bp deletion in MYBPC3, underscoring the importance of including such variants in test development. These controls may be an attractive addition to the repertoire of materials for development, validation, and quality monitoring of clinical NGS assays.
Copyright © 2016 American Society for Investigative Pathology and the Association for Molecular Pathology. Published by Elsevier Inc. All rights reserved.

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Year:  2016        PMID: 27639548     DOI: 10.1016/j.jmoldx.2016.07.005

Source DB:  PubMed          Journal:  J Mol Diagn        ISSN: 1525-1578            Impact factor:   5.568


  5 in total

Review 1.  Reference standards for next-generation sequencing.

Authors:  Simon A Hardwick; Ira W Deveson; Tim R Mercer
Journal:  Nat Rev Genet       Date:  2017-06-19       Impact factor: 53.242

2.  An open resource for accurately benchmarking small variant and reference calls.

Authors:  Justin M Zook; Jennifer McDaniel; Nathan D Olson; Justin Wagner; Hemang Parikh; Haynes Heaton; Sean A Irvine; Len Trigg; Rebecca Truty; Cory Y McLean; Francisco M De La Vega; Chunlin Xiao; Stephen Sherry; Marc Salit
Journal:  Nat Biotechnol       Date:  2019-04-01       Impact factor: 54.908

Review 3.  The Application of Control Materials for Ongoing Quality Management of Next-Generation Sequencing in a Clinical Genetic Laboratory.

Authors:  Young-Kyu Min; Kyung-Sun Park
Journal:  Medicina (Kaunas)       Date:  2021-05-28       Impact factor: 2.430

4.  The Case for Laboratory Developed Procedures: Quality and Positive Impact on Patient Care.

Authors:  Karen L Kaul; Linda M Sabatini; Gregory J Tsongalis; Angela M Caliendo; Randall J Olsen; Edward R Ashwood; Sherri Bale; Robert Benirschke; Dean Carlow; Birgit H Funke; Wayne W Grody; Randall T Hayden; Madhuri Hegde; Elaine Lyon; Kazunori Murata; Melissa Pessin; Richard D Press; Richard B Thomson
Journal:  Acad Pathol       Date:  2017-07-16

5.  One in seven pathogenic variants can be challenging to detect by NGS: an analysis of 450,000 patients with implications for clinical sensitivity and genetic test implementation.

Authors:  Stephen E Lincoln; Tina Hambuch; Justin M Zook; Sara L Bristow; Kathryn Hatchell; Rebecca Truty; Michael Kennemer; Brian H Shirts; Andrew Fellowes; Shimul Chowdhury; Eric W Klee; Shazia Mahamdallie; Megan H Cleveland; Peter M Vallone; Yan Ding; Sheila Seal; Wasanthi DeSilva; Farol L Tomson; Catherine Huang; Russell K Garlick; Nazneen Rahman; Marc Salit; Stephen F Kingsmore; Matthew J Ferber; Swaroop Aradhya; Robert L Nussbaum
Journal:  Genet Med       Date:  2021-05-18       Impact factor: 8.822

  5 in total

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