Nature CommunicationsBioinformaticsPeer-reviewed journal article
A Platform for Oncogenomic Reporting and Interpretation
Caralyn ReisleiD, Laura M. WilliamsoniD, Erin PleasanceiD, Anna Davies, Brayden Pellegrini, Dustin W. Bleile, Karen Mungall, Eric Chuah, Martin R. JonesiD, Yussanne P. Ma, Eleanor Lewis, Isaac Beckie, David Pham, Raphael Matiello Pletz, Amir Muhammadzadeh, Brandon Pierce, Jacky Li, Ross Stevenson, Hansen Wong, Lance R. Bailey, Abbey Reisle, Matthew Douglas, Melika BonakdariD, Jessica NelsoniD, Cameron J. GrisdaleiD, , Steven J.M. JonesiD
Abstract
Manual interpretation of variants remains rate limiting in precision oncology. The increasing scale and complexity of molecular data generated from comprehensive sequencing of cancer samples requires advanced interpretative platforms as precision oncology expands beyond individual patients to entire populations. To address this unmet need, we created the Platform for Oncogenomic Reporting and Interpretation (PORI), comprising an analytic framework created to facilitate the interpretation and reporting of somatic variants in cancer. PORI is unique in its integration of reporting and graph knowledge base tools combined with support for manual curation at the reporting stage. PORI represents one of the first open-source platform alternatives to commercial reporting solutions suitable for comprehensive genomic data sets in precision oncology. We demonstrate the utility of PORI by matching 9,961 TCGA tumours to the graph knowledge base, revealing that 88.2% have at least one potentially targetable alteration, and making available reports describing select individual samples.
- organism: human
- assay: whole-exome sequencing
- assay: whole-genome sequencing
- research focus: variant calling
- research focus: variant effect prediction
- research focus: database / resource
- approach: statistical model
- Citations
- 18
- FWCI
- 1.37
- Field percentile
- top 22%
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