CIViCdb 2022: evolution of an open-access cancer variant interpretation knowledgebase

Kilannin Krysiak, Arpad M. Danos, Jason Saliba, Joshua F. McMichael, Adam C. Coffman, Susanna Kiwala, Erica K. Barnell, Lana Sheta, Cameron J. Grisdale, Lynzey Kujan, Shahil Pema, Jake Lever, Sarah Ridd, Nicholas C. Spies, Veronica Andric, Andreea Chiorean, Damian T. Rieke, Kaitlin A. Clark, Caralyn Reisle, Ajay C. VenigallaMark Evans, Payal Jani, Hideaki Takahashi, Avila Suda, Peter Horak, Deborah I. Ritter, Xin Zhou, Benjamin J. Ainscough, Sean Delong, Chimene Kesserwan, Mario Lamping, Haolin Shen, Alex R. Marr, My H. Hoang, Kartik Singhal, Mariam Khanfar, Brian V. Li, Wan Hsin Lin, Panieh Terraf, Laura B. Corson, Yasser Salama, Katie M. Campbell, Kirsten M. Farncombe, Jianling Ji, Xiaonan Zhao, Xinjie Xu, Rashmi Kanagal-Shamanna, Ian King, Kelsy C. Cotto, Zachary L. Skidmore, Jason R. Walker, Jinghui Zhang, Aleksandar Milosavljevic, Ronak Y. Patel, Rachel H. Giles, Raymond H. Kim, Lynn M. Schriml, Elaine R. Mardis, Steven J.M. Jones, Gordana Raca, Shruti Rao, Subha Madhavan, Alex H. Wagner, Malachi Griffith, Obi L. Griffith

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

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 of structured curated data. To support the full breadth of variant interpretation from basic to translational, including integration of somatic and germline variant knowledge and inference of drug response, we have enabled curation of three new Evidence Types (Predisposing, Oncogenic and Functional). The growing CIViC knowledgebase has over 300 contributors and distributes clinically-relevant cancer variant data currently representing >3200 variants in >470 genes from >3100 publications.

Original languageEnglish
Pages (from-to)D1230-D1241
JournalNucleic acids research
Volume51
Issue number1 D
DOIs
StatePublished - Jan 6 2023

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