Division of Molecular and Genomic Pathology, Department of Pathology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania.
Division of Molecular and Genomic Pathology, Department of Pathology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania; Informatics Subdivision Leadership, Association for Molecular Pathology, Bethesda, Maryland.
J Mol Diagn. 2018 Sep;20(5):628-634. doi: 10.1016/j.jmoldx.2018.05.006. Epub 2018 Jun 21.
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.
人类基因组变异协会 (HGVS) 命名法是报告 DNA 序列变异的事实上的临床标准。随着高通量测序的应用越来越广泛,为所有变体手动生成 HGVS 命名法既不切实际又容易出错。因此,在下一代测序 (NGS) 生物信息学管道中包含一个或多个 HGVS 生成器工具,以在适当验证后实现 HGVS 命名法的自动化、一致性和准确性生成,这是有益的。作者通过将 hgvs 包集成到他们自己开发的 NGS 变体管理和报告软件中,实现了一个 HGVS 命名法工具。使用 Docker 容器为集成过程提供了战略优势。使用 330 个变体的队列验证了 hgvs 包的临床实施,这些变体适当代表了与癌症相关的基因和临床上重要的变体类型。hgvs 包能够为 330 个变体中的 308 个 (93.3%) 生成符合 HGVS 标准的变体命名法 (c. 和 p.),包括编码和非翻译区的所有变体,以及共识剪接位点区的 32 个 (91.4%)。不一致的 HGVS 命名法涉及具有重复序列的内含子 (40 个中的 16 个) 和共识剪接位点 (35 个中的 3 个) 区域的变体。总体而言,在临床 NGS 工作流程中实施 hgvs 包提高了报告 HGVS 命名法的一致性和准确性。