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Link to original content: https://api.crossref.org/works/10.1093/BIOINFORMATICS/BTAD128
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However, it is a tedious iterative process integrating information from several sources and types of evidence. It should follow gene-specific (if available) or general updated international guidelines. Thus, it is the main burden of the incorporation of next-generation sequencing into the clinical setting.<\/jats:p><\/jats:sec>Results<\/jats:title>We created the vaRiants in HC (vaRHC) R package to assist the process of variant classification in hereditary cancer by: (i) collecting information from diverse databases; (ii) assigning or denying different types of evidence according to updated American College of Molecular Genetics and Genomics\/Association of Molecular Pathologist gene-specific criteria for ATM, CDH1, CHEK2, MLH1, MSH2, MSH6, PMS2, PTEN, and TP53 and general criteria for other genes; (iii) providing an automated classification of variants using a Bayesian metastructure and considering CanVIG-UK recommendations; and (iv) optionally printing the output to an .xlsx file. A validation using 659 classified variants demonstrated the robustness of vaRHC, presenting a better criteria assignment than Cancer SIGVAR, an available similar tool.<\/jats:p><\/jats:sec>Availability and implementation<\/jats:title>The source code can be consulted in the GitHub repository (https:\/\/github.com\/emunte\/vaRHC) Additionally, it will be submitted to CRAN soon.<\/jats:p><\/jats:sec>","DOI":"10.1093\/bioinformatics\/btad128","type":"journal-article","created":{"date-parts":[[2023,3,14]],"date-time":"2023-03-14T12:26:36Z","timestamp":1678796796000},"source":"Crossref","is-referenced-by-count":3,"title":["vaRHC: an R package for semi-automation of variant classification in hereditary cancer genes according to ACMG\/AMP and gene-specific ClinGen guidelines"],"prefix":"10.1093","volume":"39","author":[{"ORCID":"http:\/\/orcid.org\/0000-0001-8396-8284","authenticated-orcid":false,"given":"Elisabet","family":"Munt\u00e9","sequence":"first","affiliation":[{"name":"Hereditary 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