2018
DOI: 10.1016/j.jmoldx.2018.05.006
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Clinical Implementation and Validation of Automated Human Genome Variation Society (HGVS) Nomenclature System for Next-Generation Sequencing–Based Assays for Cancer

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 imp… Show more

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Cited by 11 publications
(9 citation statements)
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“…After validation by AccuRef Diagnostics, the sets of unstained slides (A‐D) were distributed to the 17 laboratories; some of the laboratories that specialized in NGS testing of cytological samples had also taken part in the working group of the latest annual meeting on molecular cytopathology held in Naples, Italy (Fig. ) . Each laboratory stained the slides by applying their own routine protocols (Diff Quik, Papanicolaou, or hematoxylin‐eosin staining).…”
Section: Methodsmentioning
confidence: 99%
“…After validation by AccuRef Diagnostics, the sets of unstained slides (A‐D) were distributed to the 17 laboratories; some of the laboratories that specialized in NGS testing of cytological samples had also taken part in the working group of the latest annual meeting on molecular cytopathology held in Naples, Italy (Fig. ) . Each laboratory stained the slides by applying their own routine protocols (Diff Quik, Papanicolaou, or hematoxylin‐eosin staining).…”
Section: Methodsmentioning
confidence: 99%
“…Record linkage is highly sensitive to data quality. Therefore, we performed data cleaning and standardization [21][22][23], such as removing duplicates, deleting spaces in strings, standardizing the format of matching and blocking variables, converting mutation descriptions to standard Human Genome Variation Society (HGVS) nomenclature [24], standardizing recruiting center number (CTR), and splitting dates of birth into month, day and year in order to compare respectively each of them and give credit for partial agreement.…”
Section: Data Pre-processingmentioning
confidence: 99%
“…Record linkage is highly sensitive to data quality. Therefore, we performed data cleaning and standardization [21][22][23], such as removing duplicates, deleting spaces in strings, standardizing format of linkage variables, converting mutation descriptions to standard Human Genome Variation Society (HGVS) nomenclature [24], and splitting dates of birth into month, day and year in order to compare respectively each of them and give credit for partial agreement.…”
Section: Data Pre-processingmentioning
confidence: 99%