ArticleBMC bioinformatics2011
A formalized description of the standard human variant nomenclature in Extended Backus-Naur Form.
Article in BMC bioinformatics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed, 29 citations in OpenAlex.
- Review
- HGVS Nomenclature 2024: improvements to community engagement, usability, and computability.Genome medicine · 2024Article
- Murine allele and transgene symbols: ensuring unique, concise, and informative nomenclature.Mammalian genome : official journal of the International Mammalian Genome Society · 2022Review
- Aggregate penetrance of genomic variants for actionable disorders in European and African Americans.Science translational medicine · 2016Article
- Human genotype-phenotype databases: aims, challenges and opportunities.Nature reviews. Genetics · 2015Review
- A Python package for parsing, validating, mapping and formatting sequence variants using HGVS nomenclature.Bioinformatics (Oxford, England) · 2015Article
- A methodology for a minimum data set for rare diseases to support national centers of excellence for healthcare and research.Journal of the American Medical Informatics Association : JAMIA · 2015Article
- Novel membrane frizzled-related protein gene mutation as cause of posterior microphthalmia resulting in high hyperopia with macular folds.Acta ophthalmologica · 2014Article
- Mutation extraction tools can be combined for robust recognition of genetic variants in the literature.F1000Research · 2014Article
- VarioML framework for comprehensive variation data representation and exchange.BMC bioinformatics · 2012Article
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Authors and funding
4 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundThe use of a standard human sequence variant nomenclature is advocated by the Human Genome Variation Society in order to unambiguously describe genetic variants in databases and literature. There is a clear need for tools that allow the mining of data about human sequence variants and their functional consequences from databases and literature. Existing text mining focuses on the recognition of protein variants and their effects. The recognition of variants at the DNA and RNA levels is essential for dissemination of variant data for diagnostic purposes. Development of new tools is hampered by the complexity of the current nomenclature, which requires processing at the character level to recognize the specific syntactic constructs used in variant descriptions.
resultsWe approached the gene variant nomenclature as a scientific sublanguage and created two formal descriptions of the syntax in Extended Backus-Naur Form: one at the DNA-RNA level and one at the protein level. To ensure compatibility to older versions of the human sequence variant nomenclature, previously recommended variant description formats have been included. The first grammar versions were designed to help build variant description handling in the Alamut mutation interpretation software. The DNA and RNA level descriptions were then updated and used to construct the context-free parser of the Mutalyzer 2 sequence variant nomenclature checker, which has already been used to check more than one million variant descriptions.
conclusionsThe Extended Backus-Naur Form provided an overview of the full complexity of the syntax of the sequence variant nomenclature, which remained hidden in the textual format and the division of the recommendations across the DNA, RNA and protein sections of the Human Genome Variation Society nomenclature website (http://www.hgvs.org/mutnomen/). This insight into the syntax of the nomenclature could be used to design detailed and clear rules for software development. The Mutalyzer 2 parser demonstrated that it facilitated decomposition of complex variant descriptions into their individual parts. The Extended Backus-Naur Form or parts of it can be used or modified by adding rules, allowing the development of specific sequence variant text mining tools and other programs, which can generate or handle sequence variant descriptions.
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