Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • News & Views
  • Published:

Cancer genomics

Less is more in the hunt for driver mutations

Nature volume 547, pages 40–41 (2017)Cite this article

Subjects

An analysis of 360 breast-cancer genomes has identified cancer-driving mutations in 9 non-coding DNA sequences called promoters, which regulate gene expression. The result hints at the prevalence of non-coding drivers. See Article p.55

This is a preview of subscription content, access via your institution

Relevant articles

Open Access articles citing this article.

Access options

Buy this article

  • Purchase on Springer Link
  • Instant access to full article PDF
Buy now

Prices may be subject to local taxes which are calculated during checkout

Figure 1: Improving discovery of cancer-driving mutations in the non-coding genome.

Notes

  1. See all news & views

References

  1. The Cancer Genome Atlas Research Network. Nature Genet. 45, 1113–1120 (2013).

  2. Tamborero, D. et al. Sci. Rep. 3, 2650 (2013).

    Article  Google Scholar 

  3. Rheinbay, E. et al. Nature 547, 55–60 (2017).

    Article  ADS  CAS  Google Scholar 

  4. Khurana, E. et al. Nature Rev. Genet. 17, 93–108 (2016).

    Article  CAS  Google Scholar 

  5. Vinagre, J. et al. Nature Commun. 4, 2185 (2013).

  6. Weinhold, N., Jacobsen, A., Schultz, N., Sander, C. & Lee, W. Nature Genet. 46, 1160–1165 (2014).

    Article  CAS  Google Scholar 

  7. Weischenfeldt, J. et al. Nature Genet. 49, 65–74 (2017).

    Article  CAS  Google Scholar 

  8. Khurana, E. et al. Science 342, 1235587 (2013).

    Article  Google Scholar 

  9. Lochovsky, L., Zhang, J., Fu, Y., Khurana, E. & Gerstein, M. Nucleic Acids Res. 43, 8123–8134 (2015).

    Article  CAS  Google Scholar 

  10. The ENCODE Project Consortium. Nature 489, 57–74 (2012).

Download references

Author information

Authors and Affiliations

  1. Program in Computational Biology and Bioinformatics, and in the Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, 06520, Connecticut, USA

    Sushant Kumar & Mark Gerstein

  2. Department of Computer Science, Yale University,

    Mark Gerstein

Authors
  1. Sushant Kumar
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Mark Gerstein
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Mark Gerstein.

Related links

Related links

Related links in Nature Research

Cancer: Trouble upstream

Cancer genomics: Hard-to-reach repairs

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kumar, S., Gerstein, M. Less is more in the hunt for driver mutations. Nature 547, 40–41 (2017). https://doi.org/10.1038/nature23085

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/nature23085

This article is cited by

Search

Advanced search

Quick links

Nature Briefing: Cancer

Sign up for the Nature Briefing: Cancer newsletter — what matters in cancer research, free to your inbox weekly.

Get what matters in cancer research, free to your inbox weekly. Sign up for Nature Briefing: Cancer