{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Krysiak K"],"funding":["National Center for Advancing Translational Sciences","Washington University Institute of Clinical and Translational Sciences","Bhalwani Family Charitable Foundation","Berlin Institute of Health","Cancer Moonshot and Childhood Cancer Data Initiative","NHGRI","Starbucks Clinical Genetics/Genomics Research Studentship","St. Louis Children's Hospital and Washington University School of Medicine","National Institutes of Health","NIH","Amazon Web Services Open Data","VHL Alliance Research","NCI","St. Louis Children&apos;s Hospital and Washington University School of Medicine","NHGRI NIH HHS","NCI NIH HHS","Google Big Query","NIH HHS","Charité - Universitätsmedizin Berlin","Clinical Genome Resource"],"pagination":["D1230-D1241"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9825608"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["51(D1)"],"pubmed_abstract":["CIViC (Clinical Interpretation of Variants in Cancer; civicdb.org) is a crowd-sourced, public domain knowledgebase composed of literature-derived evidence characterizing the clinical utility of cancer variants. As clinical sequencing becomes more prevalent in cancer management, the need for cancer variant interpretation has grown beyond the capability of any single institution. CIViC contains peer-reviewed, published literature curated and expertly-moderated into structured data units (Evidence Items) that can be accessed globally and in real time, reducing barriers to clinical variant knowledge sharing. We have extended CIViC's functionality to support emergent variant interpretation guidelines, increase interoperability with other variant resources, and promote widespread dissemination o"],"journal":["Nucleic acids research"],"pubmed_title":["CIViCdb 2022: evolution of an open-access cancer variant interpretation knowledgebase."],"pmcid":["PMC9825608"],"funding_grant_id":["K22CA188163","U24CA237719","U01CA209936","UL1TR002345","861329","R00HG010157","U41 HG008735","R00HG007940","5U24HG009649"],"pubmed_authors":["Rao S","Danos AM","Zhang J","Farncombe KM","Sheta L","Grisdale CJ","Singhal K","Shen H","Milosavljevic A","Giles RH","Barnell EK","Rieke DT","Terraf P","Ainscough BJ","Coffman AC","Chiorean A","Evans M","Kesserwan C","Kanagal-Shamanna R","Pema S","Khanfar M","Horak P","Marr AR","Suda A","Venigalla AC","Salama Y","Kujan L","Raca G","Clark KA","Krysiak K","Campbell KM","Skidmore ZL","Kiwala S","Reisle C","Kim RH","Mardis ER","Corson LB","Griffith M","Madhavan S","Xu X","McMichael JF","Lin WH","Zhao X","Delong S","Jani P","Lamping M","King I","Jones SJM","Griffith OL","Walker JR","Andric V","Takahashi H","Hoang MH","Wagner AH","Li BV","Ridd S","Ji J","Saliba J","Zhou X","Ritter DI","Patel RY","Lever J","Schriml LM","Spies NC","Cotto KC"],"additional_accession":[]},"is_claimable":false,"name":"CIViCdb 2022: evolution of an open-access cancer variant interpretation knowledgebase.","description":"CIViC (Clinical Interpretation of Variants in Cancer; civicdb.org) is a crowd-sourced, public domain knowledgebase composed of literature-derived evidence characterizing the clinical utility of cancer variants. As clinical sequencing becomes more prevalent in cancer management, the need for cancer variant interpretation has grown beyond the capability of any single institution. CIViC contains peer-reviewed, published literature curated and expertly-moderated into structured data units (Evidence Items) that can be accessed globally and in real time, reducing barriers to clinical variant knowledge sharing. We have extended CIViC's functionality to support emergent variant interpretation guidelines, increase interoperability with other variant resources, and promote widespread dissemination o","dates":{"release":"2023-01-01T00:00:00Z","publication":"2023 Jan","modification":"2025-04-21T18:01:02.557Z","creation":"2025-04-05T17:03:20.107Z"},"accession":"S-EPMC9825608","cross_references":{"pubmed":["36373660"],"doi":["10.1093/nar/gkac979"]}}