The impact of whole genome and transcriptome analysis (WGTA) on predictive biomarker discovery and diagnostic accuracy of advanced malignancies

• Main Authors: Basile Tessier‐Cloutier (Author), Jasleen K Grewal (Author), Martin R Jones (Author), Erin Pleasance (Author), Yaoqing Shen (Author), Ellen Cai (Author), Chris Dunham (Author), Lynn Hoang (Author), Basil Horst (Author), David G Huntsman (Author), Diana Ionescu (Author), Anthony N Karnezis (Author), Anna F Lee (Author), Cheng Han Lee (Author), Tae Hoon Lee (Author), David DW Twa (Author), Andrew J Mungall (Author), Karen Mungall (Author), Julia R Naso (Author), Tony Ng (Author), David F Schaeffer (Author), Brandon S Sheffield (Author), Brian Skinnider (Author), Tyler Smith (Author), Laura Williamson (Author), Ellia Zhong (Author), Dean A Regier (Author), Janessa Laskin (Author), Marco A Marra (Author), C Blake Gilks (Author), Steven JM Jones (Author), Stephen Yip (Author)
• Format: Book
• Published: Wiley, 2022-07-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Abstract In this study, we evaluate the impact of whole genome and transcriptome analysis (WGTA) on predictive molecular profiling and histologic diagnosis in a cohort of advanced malignancies. WGTA was used to generate reports including molecular alterations and site/tissue of origin prediction. Tw...