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Discovery of driver non-coding splice-site-creating mutations in cancer

Author

Listed:
  • Song Cao

    (Washington University in St. Louis
    Washington University in St. Louis)

  • Daniel Cui Zhou

    (Washington University in St. Louis
    Washington University in St. Louis)

  • Clara Oh

    (Washington University in St. Louis
    Washington University in St. Louis)

  • Reyka G. Jayasinghe

    (Washington University in St. Louis
    Washington University in St. Louis)

  • Yanyan Zhao

    (Washington University in St. Louis)

  • Christopher J. Yoon

    (Washington University in St. Louis
    Washington University in St. Louis)

  • Matthew A. Wyczalkowski

    (Washington University in St. Louis
    Washington University in St. Louis)

  • Matthew H. Bailey

    (Washington University in St. Louis
    Washington University in St. Louis)

  • Terrence Tsou

    (Washington University in St. Louis
    Washington University in St. Louis)

  • Qingsong Gao

    (Washington University in St. Louis
    Washington University in St. Louis)

  • Andrew Malone

    (Washington University in St. Louis)

  • Sheila Reynolds

    (Institute for Systems Biology)

  • Ilya Shmulevich

    (Institute for Systems Biology)

  • Michael C. Wendl

    (Washington University in St. Louis
    Washington University in St. Louis
    Washington University in St. Louis)

  • Feng Chen

    (Washington University in St. Louis
    Washington University in St. Louis)

  • Li Ding

    (Washington University in St. Louis
    Washington University in St. Louis
    Washington University in St. Louis
    Washington University in St. Louis)

Abstract

Non-coding mutations can create splice sites, however the true extent of how such somatic non-coding mutations affect RNA splicing are largely unexplored. Here we use the MiSplice pipeline to analyze 783 cancer cases with WGS data and 9494 cases with WES data, discovering 562 non-coding mutations that lead to splicing alterations. Notably, most of these mutations create new exons. Introns associated with new exon creation are significantly larger than the genome-wide average intron size. We find that some mutation-induced splicing alterations are located in genes important in tumorigenesis (ATRX, BCOR, CDKN2B, MAP3K1, MAP3K4, MDM2, SMAD4, STK11, TP53 etc.), often leading to truncated proteins and affecting gene expression. The pattern emerging from these exon-creating mutations suggests that splice sites created by non-coding mutations interact with pre-existing potential splice sites that originally lacked a suitable splicing pair to induce new exon formation. Our study suggests the importance of investigating biological and clinical consequences of noncoding splice-inducing mutations that were previously neglected by conventional annotation pipelines. MiSplice will be useful for automatically annotating the splicing impact of coding and non-coding mutations in future large-scale analyses.

Suggested Citation

  • Song Cao & Daniel Cui Zhou & Clara Oh & Reyka G. Jayasinghe & Yanyan Zhao & Christopher J. Yoon & Matthew A. Wyczalkowski & Matthew H. Bailey & Terrence Tsou & Qingsong Gao & Andrew Malone & Sheila Re, 2020. "Discovery of driver non-coding splice-site-creating mutations in cancer," Nature Communications, Nature, vol. 11(1), pages 1-11, December.
  • Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-19307-6
    DOI: 10.1038/s41467-020-19307-6
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    Cited by:

    1. Yuichi Shiraishi & Ai Okada & Kenichi Chiba & Asuka Kawachi & Ikuko Omori & Raúl Nicolás Mateos & Naoko Iida & Hirofumi Yamauchi & Kenjiro Kosaki & Akihide Yoshimi, 2022. "Systematic identification of intron retention associated variants from massive publicly available transcriptome sequencing data," Nature Communications, Nature, vol. 13(1), pages 1-13, December.

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