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A harmonized meta-knowledgebase of clinical interpretations of somatic genomic variants in cancer.
Wagner, Alex H; Walsh, Brian; Mayfield, Georgia; Tamborero, David; Sonkin, Dmitriy; Krysiak, Kilannin; Deu-Pons, Jordi; Duren, Ryan P; Gao, Jianjiong; McMurry, Julie; Patterson, Sara; Del Vecchio Fitz, Catherine; Pitel, Beth A; Sezerman, Ozman U; Ellrott, Kyle; Warner, Jeremy L; Rieke, Damian T; Aittokallio, Tero; Cerami, Ethan; Ritter, Deborah I; Schriml, Lynn M; Freimuth, Robert R; Haendel, Melissa; Raca, Gordana; Madhavan, Subha; Baudis, Michael; Beckmann, Jacques S; Dienstmann, Rodrigo; Chakravarty, Debyani; Li, Xuan Shirley; Mockus, Susan; Elemento, Olivier; Schultz, Nikolaus; Lopez-Bigas, Nuria; Lawler, Mark; Goecks, Jeremy; Griffith, Malachi; Griffith, Obi L; Margolin, Adam A.
Afiliación
  • Wagner AH; Washington University School of Medicine, St. Louis, MO, USA.
  • Walsh B; Oregon Health and Science University, Portland, OR, USA.
  • Mayfield G; Oregon Health and Science University, Portland, OR, USA.
  • Tamborero D; Pompeu Fabra University, Barcelona, Spain.
  • Sonkin D; Karolinska Institute, Solna, Sweden.
  • Krysiak K; National Cancer Institute, Rockville, MD, USA.
  • Deu-Pons J; Washington University School of Medicine, St. Louis, MO, USA.
  • Duren RP; Institute for Research in Biomedicine, Barcelona, Spain.
  • Gao J; Catalan Institution for Research and Advanced Studies, Barcelona, Spain.
  • McMurry J; MolecularMatch, Houston, TX, USA.
  • Patterson S; Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Del Vecchio Fitz C; Oregon Health and Science University, Portland, OR, USA.
  • Pitel BA; The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA.
  • Sezerman OU; Dana-Farber Cancer Institute, Boston, MA, USA.
  • Ellrott K; Mayo Clinic, Rochester, MN, USA.
  • Warner JL; Acibadem University, Istanbul, Turkey.
  • Rieke DT; Oregon Health and Science University, Portland, OR, USA.
  • Aittokallio T; Vanderbilt University, Nashville, TN, USA.
  • Cerami E; Charité-Berlin University of Medicine, Berlin, Germany.
  • Ritter DI; Institute for Molecular Medicine Finland, Helsinki, Finland.
  • Schriml LM; University of Turku, Turku, Finland.
  • Freimuth RR; Dana-Farber Cancer Institute, Boston, MA, USA.
  • Haendel M; Baylor College of Medicine, Houston, TX, USA.
  • Raca G; Texas Children's Hospital, Houston, TX, USA.
  • Madhavan S; University of Maryland School of Medicine, Baltimore, MD, USA.
  • Baudis M; Mayo Clinic, Rochester, MN, USA.
  • Beckmann JS; Oregon Health and Science University, Portland, OR, USA.
  • Dienstmann R; Linus Pauling Institute at Oregon State University, Corvallis, OR, USA.
  • Chakravarty D; Children's Hospital Los Angeles, Los Angeles, CA, USA.
  • Li XS; Keck School of Medicine of USC, Los Angeles, CA, USA.
  • Mockus S; Georgetown University Medical Center, Washington, DC, USA.
  • Elemento O; University of Zurich, Zurich, Switzerland.
  • Schultz N; University of Lausanne, Lausanne, Switzerland.
  • Lopez-Bigas N; Vall d'Hebron Institute of Oncology, Barcelona, Spain.
  • Lawler M; Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Goecks J; MolecularMatch, Houston, TX, USA.
  • Griffith M; The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA.
  • Griffith OL; Weill Cornell Medicine, New York, NY, USA.
  • Margolin AA; Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Nat Genet ; 52(4): 448-457, 2020 04.
Article en En | MEDLINE | ID: mdl-32246132
ABSTRACT
Precision oncology relies on accurate discovery and interpretation of genomic variants, enabling individualized diagnosis, prognosis and therapy selection. We found that six prominent somatic cancer variant knowledgebases were highly disparate in content, structure and supporting primary literature, impeding consensus when evaluating variants and their relevance in a clinical setting. We developed a framework for harmonizing variant interpretations to produce a meta-knowledgebase of 12,856 aggregate interpretations. We demonstrated large gains in overlap between resources across variants, diseases and drugs as a result of this harmonization. We subsequently demonstrated improved matching between a patient cohort and harmonized interpretations of potential clinical significance, observing an increase from an average of 33% per individual knowledgebase to 57% in aggregate. Our analyses illuminate the need for open, interoperable sharing of variant interpretation data. We also provide a freely available web interface (search.cancervariants.org) for exploring the harmonized interpretations from these six knowledgebases.
Asunto(s)

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Variación Genética / Neoplasias Tipo de estudio: Systematic_reviews Idioma: En Revista: Nat Genet Asunto de la revista: GENETICA MEDICA Año: 2020 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Variación Genética / Neoplasias Tipo de estudio: Systematic_reviews Idioma: En Revista: Nat Genet Asunto de la revista: GENETICA MEDICA Año: 2020 Tipo del documento: Article