Literature DB >> 29936258

Clinical Implementation and Validation of Automated Human Genome Variation Society (HGVS) Nomenclature System for Next-Generation Sequencing-Based Assays for Cancer.

Keith M Callenberg1, Lucas Santana-Santos1, Liang Chen1, Wayne L Ernst1, Michelle B De Moura1, Yuri E Nikiforov1, Marina N Nikiforova1, Somak Roy2.   

Abstract

Human Genome Variation Society (HGVS) nomenclature is a de facto clinical standard for reporting DNA sequence variants. With increasing use of high-throughput sequencing, manual generation of HGVS nomenclatures for all variants is impractical and error-prone. It is therefore beneficial to include one or more HGVS generator tools in next-generation sequencing (NGS) bioinformatics pipelines to enable automated, consistent, and accurate generation of HGVS nomenclature after appropriate validation. The authors implemented an HGVS nomenclature tool, the hgvs package, by integrating it into their custom-developed NGS variant management and reporting software. Use of Docker containers provided a strategic advantage to the integration process. Clinical implementation of the hgvs package was validated using a cohort of 330 variants that appropriately represented cancer-related genes and clinically important variant types. The hgvs package was able to generate HGVS-compliant variant nomenclature (both c. and p.) for 308 of the 330 (93.3%) variants, including all those in the coding and untranslated regions, and 32 of 35 (91.4%) in the consensus splice site region. Discrepant HGVS nomenclature involved variants in the intronic (16 of 40) and consensus splice site (3 of 35) regions with repeat sequences. Overall, implementation of the hgvs package in the clinical NGS workflow improved consistency and accuracy of reporting HGVS nomenclature.
Copyright © 2018 American Society for Investigative Pathology and the Association for Molecular Pathology. Published by Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2018        PMID: 29936258     DOI: 10.1016/j.jmoldx.2018.05.006

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


  3 in total

1.  A performance evaluation study: Variant annotation tools - the enigma of clinical next generation sequencing (NGS) based genetic testing.

Authors:  Sachleen Tuteja; Sabah Kadri; Kai Lee Yap
Journal:  J Pathol Inform       Date:  2022-07-28

2.  Variation in nomenclature of somatic variants for selection of oncological therapies: Can we reach a consensus soon?

Authors:  Cleo Keppens; Véronique Tack; Kelly Dufraing; Etienne Rouleau; Marjolijn J L Ligtenberg; Ed Schuuring; Elisabeth M C Dequeker
Journal:  Hum Mutat       Date:  2019-10-14       Impact factor: 4.878

3.  A new hybrid record linkage process to make epidemiological databases interoperable: application to the GEMO and GENEPSO studies involving BRCA1 and BRCA2 mutation carriers.

Authors:  Chloé-Agathe Azencott; Maïté Laurent; Catherine Noguès; Nadine Andrieu; Dominique Stoppa-Lyonnet; Yue Jiao; Fabienne Lesueur; Noura Mebirouk; Lilian Laborde; Juana Beauvallet; Marie-Gabrielle Dondon; Séverine Eon-Marchais; Anthony Laugé; Sandrine M Caputo
Journal:  BMC Med Res Methodol       Date:  2021-07-29       Impact factor: 4.615

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.