| Estimation of rearrangement phylogeny for cancer genomes. | |
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MedLine Citation:
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PMID: 21994251 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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Cancer genomes are complex, carrying thousands of somatic mutations including base substitutions, insertions and deletions, rearrangements, and copy number changes that have been acquired over decades. Recently, technologies have been introduced that allow generation of high-resolution, comprehensive catalogs of somatic alterations in cancer genomes. However, analyses of these data sets generally do not indicate the order in which mutations have occurred, or the resulting karyotype. Here, we introduce a mathematical framework that begins to address this problem. By using samples with accurate data sets, we can reconstruct relatively complex temporal sequences of rearrangements and provide an assembly of genomic segments into digital karyotypes. For cancer genes mutated in rearranged regions, this information can provide a chronological examination of the selective events that have taken place. |
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Authors:
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Chris D Greenman; Erin D Pleasance; Scott Newman; Fengtang Yang; Beiyuan Fu; Serena Nik-Zainal; David Jones; King Wai Lau; Nigel Carter; Paul A W Edwards; P Andrew Futreal; Michael R Stratton; Peter J Campbell |
Publication Detail:
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Type: JOURNAL ARTICLE Date: 2011-10-12 |
Journal Detail:
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Title: Genome research Volume: - ISSN: 1549-5469 ISO Abbreviation: - Publication Date: 2011 Oct |
Date Detail:
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Created Date: 2011-10-13 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9518021 Medline TA: Genome Res Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
Affiliation:
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Cancer Genome Project, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SA, United Kingdom; |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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