A harmonized meta-knowledgebase of clinical interpretations of somatic genomic variants in cancer

Author:

Wagner Alex H.ORCID, ,Walsh BrianORCID,Mayfield Georgia,Tamborero David,Sonkin DmitriyORCID,Krysiak KilanninORCID,Deu-Pons Jordi,Duren Ryan P.,Gao JianjiongORCID,McMurry Julie,Patterson Sara,del Vecchio Fitz Catherine,Pitel Beth A.,Sezerman Ozman U.,Ellrott Kyle,Warner Jeremy L.ORCID,Rieke Damian T.ORCID,Aittokallio TeroORCID,Cerami Ethan,Ritter Deborah I.,Schriml Lynn M.,Freimuth Robert R.ORCID,Haendel MelissaORCID,Raca Gordana,Madhavan Subha,Baudis Michael,Beckmann Jacques S.ORCID,Dienstmann Rodrigo,Chakravarty Debyani,Li Xuan Shirley,Mockus SusanORCID,Elemento Olivier,Schultz Nikolaus,Lopez-Bigas Nuria,Lawler Mark,Goecks Jeremy,Griffith MalachiORCID,Griffith Obi L.ORCID,Margolin Adam A.

Abstract

AbstractPrecision 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.

Publisher

Springer Science and Business Media LLC

Subject

Genetics

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