Distinct Classes of Complex Structural Variation Uncovered across Thousands of Cancer Genome Graphs

Kevin Hadi, Xiaotong Yao, Julie M. Behr, Aditya Deshpande, Charalampos Xanthopoulakis, Huasong Tian, Sarah Kudman, Joel Rosiene, Madison Darmofal, Joseph DeRose, Rick Mortensen, Emily M. Adney, Alon Shaiber, Zoran Gajic, Michael Sigouros, Kenneth Eng, Jeremiah A. Wala, Kazimierz O. Wrzeszczyński, Kanika Arora, Minita ShahAnne Katrin Emde, Vanessa Felice, Mayu O. Frank, Robert B. Darnell, Mahmoud Ghandi, Franklin Huang, Sally Dewhurst, John Maciejowski, Titia de Lange, Jeremy Setton, Nadeem Riaz, Jorge S. Reis-Filho, Simon Powell, David A. Knowles, Ed Reznik, Bud Mishra, Rameen Beroukhim, Michael C. Zody, Nicolas Robine, Kenji M. Oman, Carissa A. Sanchez, Mary K. Kuhner, Lucian P. Smith, Patricia C. Galipeau, Thomas G. Paulson, Brian J. Reid, Xiaohong Li, David Wilkes, Andrea Sboner, Juan Miguel Mosquera, Olivier Elemento, Marcin Imielinski

Research output: Contribution to journalArticlepeer-review


A novel computational approach for inferring and classifying patterns in cancer genome graphs uncovers three classes of complex structural variation with distinct tumor type and genomic distributions.

Original languageEnglish (US)
Pages (from-to)197-210.e32
Issue number1
StatePublished - Oct 1 2020


  • aneuploidy
  • cancer evolution
  • cancer genomics
  • chromothripsis
  • fragile sites
  • genome graphs
  • mutational processes
  • phasing
  • structural variation
  • superenhancers

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)


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