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      The evolution of tumour phylogenetics: principles and practice.

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          Abstract

          Rapid advances in high-throughput sequencing and a growing realization of the importance of evolutionary theory to cancer genomics have led to a proliferation of phylogenetic studies of tumour progression. These studies have yielded not only new insights but also a plethora of experimental approaches, sometimes reaching conflicting or poorly supported conclusions. Here, we consider this body of work in light of the key computational principles underpinning phylogenetic inference, with the goal of providing practical guidance on the design and analysis of scientifically rigorous tumour phylogeny studies. We survey the range of methods and tools available to the researcher, their key applications, and the various unsolved problems, closing with a perspective on the prospects and broader implications of this field.

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          Author and article information

          Journal
          Nat Rev Genet
          Nature reviews. Genetics
          Springer Science and Business Media LLC
          1471-0064
          1471-0056
          April 2017
          : 18
          : 4
          Affiliations
          [1 ] Department of Biological Sciences and Computational Biology Department, Carnegie Mellon University, Pittsburgh, Pennsylvania 15217, USA.
          [2 ] Computational Biology Branch, National Center for Biotechnology Information, National Institutes of Health, Bethesda, Maryland 20892, USA.
          Article
          nrg.2016.170 NIHMS952104
          10.1038/nrg.2016.170
          5886015
          28190876
          24c2ba7f-be2d-40e7-bf26-2ff1109bbfc1
          History

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