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Genetic similarity between cancers and comorbid Mendelian diseases identifies candidate driver genes

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Listed:
  • Rachel D. Melamed

    (Columbia University
    Columbia University)

  • Kevin J. Emmett

    (Columbia University
    Columbia University)

  • Chioma Madubata

    (Columbia University)

  • Andrey Rzhetsky

    (University of Chicago
    Computation Institute, University of Chicago
    Institute for Genomics and Systems Biology, University of Chicago)

  • Raul Rabadan

    (Columbia University
    Columbia University)

Abstract

Despite large-scale cancer genomics studies, key somatic mutations driving cancer, and their functional roles, remain elusive. Here, we propose that analysis of comorbidities of Mendelian diseases with cancers provides a novel, systematic way to discover new cancer genes. If germline genetic variation in Mendelian loci predisposes bearers to common cancers, the same loci may harbour cancer-associated somatic variation. Compilations of clinical records spanning over 100 million patients provide an unprecedented opportunity to assess clinical associations between Mendelian diseases and cancers. We systematically compare these comorbidities against recurrent somatic mutations from more than 5,000 patients across many cancers. Using multiple measures of genetic similarity, we show that a Mendelian disease and comorbid cancer indeed have genetic alterations of significant functional similarity. This result provides a basis to identify candidate drivers in cancers including melanoma and glioblastoma. Some Mendelian diseases demonstrate ‘pan-cancer’ comorbidity and shared genetics across cancers.

Suggested Citation

  • Rachel D. Melamed & Kevin J. Emmett & Chioma Madubata & Andrey Rzhetsky & Raul Rabadan, 2015. "Genetic similarity between cancers and comorbid Mendelian diseases identifies candidate driver genes," Nature Communications, Nature, vol. 6(1), pages 1-10, November.
  • Handle: RePEc:nat:natcom:v:6:y:2015:i:1:d:10.1038_ncomms8033
    DOI: 10.1038/ncomms8033
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