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High-order chromatin architecture determines the landscape of chromosomal alterations in cancer
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  • Published: 07 September 2011

High-order chromatin architecture determines the landscape of chromosomal alterations in cancer

  • Geoffrey Fudenberg1,
  • Gad Getz2,
  • Matthew Meyerson3 &
  • …
  • Leonid Mirny4 

Nature Precedings (2011)Cite this article

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Abstract

The rapid growth of cancer genome structural information provides an opportunity for a better understanding of the mutational mechanisms of genomic alterations in cancer and the forces of selection that act upon them. Here we test the evidence for two major forces, spatial chromosome structure and purifying (or negative) selection, that shape the landscape of somatic copy-number alterations (SCNAs) in cancer. Using a maximum likelihood framework we compare SCNA maps and three-dimensional genome architecture as determined by genome-wide chromosome conformation capture (HiC) and described by the proposed fractal-globule (FG) model. This analysis provides evidence that the distribution of chromosomal alterations in cancer is spatially related to three-dimensional genomic architecture and additionally suggests that purifying selection as well as positive selection shapes the landscape of SCNAs during somatic evolution of cancer cells.

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Authors and Affiliations

  1. Harvard University https://www.nature.com/nature

    Geoffrey Fudenberg

  2. Broad Institute https://www.nature.com/nature

    Gad Getz

  3. Dana-Farber Cancer Institute https://www.nature.com/nature

    Matthew Meyerson

  4. MIT https://www.nature.com/nature

    Leonid Mirny

Authors
  1. Geoffrey Fudenberg
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  2. Gad Getz
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  3. Matthew Meyerson
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  4. Leonid Mirny
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Corresponding author

Correspondence to Leonid Mirny.

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Fudenberg, G., Getz, G., Meyerson, M. et al. High-order chromatin architecture determines the landscape of chromosomal alterations in cancer . Nat Prec (2011). https://doi.org/10.1038/npre.2011.6356.1

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  • Received: 06 September 2011

  • Accepted: 07 September 2011

  • Published: 07 September 2011

  • DOI: https://doi.org/10.1038/npre.2011.6356.1

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Keywords

  • cancer genomics
  • population genetics
  • chromatin structure
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