Unknown

Dataset Information

0

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


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.

SUBMITTER: Wagner AH 

PROVIDER: S-EPMC7127986 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature

altmetric image

Publications

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

Wagner Alex H AH   Walsh Brian B   Mayfield Georgia G   Tamborero David D   Sonkin Dmitriy D   Krysiak Kilannin K   Deu-Pons Jordi J   Duren Ryan P RP   Gao Jianjiong J   McMurry Julie J   Patterson Sara S   Del Vecchio Fitz Catherine C   Pitel Beth A BA   Sezerman Ozman U OU   Ellrott Kyle K   Warner Jeremy L JL   Rieke Damian T DT   Aittokallio Tero T   Cerami Ethan E   Ritter Deborah I DI   Schriml Lynn M LM   Freimuth Robert R RR   Haendel Melissa M   Raca Gordana G   Madhavan Subha S   Baudis Michael M   Beckmann Jacques S JS   Dienstmann Rodrigo R   Chakravarty Debyani D   Li Xuan Shirley XS   Mockus Susan S   Elemento Olivier O   Schultz Nikolaus N   Lopez-Bigas Nuria N   Lawler Mark M   Goecks Jeremy J   Griffith Malachi M   Griffith Obi L OL   Margolin Adam A AA  

Nature genetics 20200403 4


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 aggre  ...[more]

Similar Datasets

| S-EPMC12632937 | biostudies-literature
| S-EPMC5367263 | biostudies-literature
| S-EPMC10767972 | biostudies-literature
| S-EPMC12747253 | biostudies-literature
| S-EPMC10322899 | biostudies-literature