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Adapting crowdsourced clinical cancer curation in CIViC to the ClinGen minimum variant level data community-driven standards.
Danos, Arpad M; Ritter, Deborah I; Wagner, Alex H; Krysiak, Kilannin; Sonkin, Dmitriy; Micheel, Christine; McCoy, Matthew; Rao, Shruti; Raca, Gordana; Boca, Simina M; Roy, Angshumoy; Barnell, Erica K; McMichael, Joshua F; Kiwala, Susanna; Coffman, Adam C; Kujan, Lynzey; Kulkarni, Shashikant; Griffith, Malachi; Madhavan, Subha; Griffith, Obi L.
Afiliación
  • Danos AM; McDonnell Genome Institute, Washington University School of Medicine, Saint Louis, Missouri.
  • Ritter DI; Baylor College of Medicine, Houston, Texas.
  • Wagner AH; McDonnell Genome Institute, Washington University School of Medicine, Saint Louis, Missouri.
  • Krysiak K; McDonnell Genome Institute, Washington University School of Medicine, Saint Louis, Missouri.
  • Sonkin D; Biometric Research Program, Division of Cancer Treatment and Diagnosis, National Cancer Institute, Rockville, Maryland.
  • Micheel C; Vanderbilt-Ingram Cancer Center, Nashville, Tennessee.
  • McCoy M; Georgetown Lombardi Comprehensive Cancer Center, Washington, District of Columbia.
  • Rao S; Georgetown Lombardi Comprehensive Cancer Center, Washington, District of Columbia.
  • Raca G; Keck School of Medicine, University of Southern California, Los Angeles, California.
  • Boca SM; Georgetown Lombardi Comprehensive Cancer Center, Washington, District of Columbia.
  • Roy A; Baylor College of Medicine, Houston, Texas.
  • Barnell EK; McDonnell Genome Institute, Washington University School of Medicine, Saint Louis, Missouri.
  • McMichael JF; McDonnell Genome Institute, Washington University School of Medicine, Saint Louis, Missouri.
  • Kiwala S; McDonnell Genome Institute, Washington University School of Medicine, Saint Louis, Missouri.
  • Coffman AC; McDonnell Genome Institute, Washington University School of Medicine, Saint Louis, Missouri.
  • Kujan L; McDonnell Genome Institute, Washington University School of Medicine, Saint Louis, Missouri.
  • Kulkarni S; Baylor College of Medicine, Houston, Texas.
  • Griffith M; Baylor Genetics, Houston, Texas.
  • Madhavan S; Dan L. Duncan Cancer Center, Houston, Texas.
  • Griffith OL; McDonnell Genome Institute, Washington University School of Medicine, Saint Louis, Missouri.
Hum Mutat ; 39(11): 1721-1732, 2018 11.
Article en En | MEDLINE | ID: mdl-30311370
Harmonization of cancer variant representation, efficient communication, and free distribution of clinical variant-associated knowledge are central problems that arise with increased usage of clinical next-generation sequencing. The Clinical Genome Resource (ClinGen) Somatic Working Group (WG) developed a minimal variant level data (MVLD) representation of cancer variants, and has an ongoing collaboration with Clinical Interpretations of Variants in Cancer (CIViC), an open-source platform supporting crowdsourced and expert-moderated cancer variant curation. Harmonization between MVLD and CIViC variant formats was assessed by formal field-by-field analysis. Adjustments to the CIViC format were made to harmonize with MVLD and support ClinGen Somatic WG curation activities, including four new features in CIViC: (1) introduction of an assertions feature for clinical variant assessment following the Association of Molecular Pathologists (AMP) guidelines, (2) group-level curation tracking for organizations, enabling member transparency, and curation effort summaries, (3) introduction of ClinGen Allele Registry IDs to CIViC, and (4) mapping of CIViC assertions into ClinVar submission with automated submissions. A generalizable workflow utilizing MVLD and new CIViC features is outlined for use by ClinGen Somatic WG task teams for curation and submission to ClinVar, and provides a model for promoting harmonization of cancer variant representation and efficient distribution of this information.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Genoma Humano / Neoplasias Tipo de estudio: Guideline / Prognostic_studies Límite: Humans Idioma: En Revista: Hum Mutat Asunto de la revista: GENETICA MEDICA Año: 2018 Tipo del documento: Article Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Genoma Humano / Neoplasias Tipo de estudio: Guideline / Prognostic_studies Límite: Humans Idioma: En Revista: Hum Mutat Asunto de la revista: GENETICA MEDICA Año: 2018 Tipo del documento: Article Pais de publicación: Estados Unidos