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10.1186/s13059-017-1253-8

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suck abstract from ncbi


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pmid28655341
      Genome+Biol 2017 ; 18 (1 ): 125
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  • Hi-C as a tool for precise detection and characterisation of chromosomal rearrangements and copy number variation in human tumours #MMPMID28655341
  • Harewood L ; Kishore K ; Eldridge MD ; Wingett S ; Pearson D ; Schoenfelder S ; Collins VP ; Fraser P
  • Genome Biol 2017[Jun]; 18 (1 ): 125 PMID28655341 show ga
  • Chromosomal rearrangements occur constitutionally in the general population and somatically in the majority of cancers. Detection of balanced rearrangements, such as reciprocal translocations and inversions, is troublesome, which is particularly detrimental in oncology where rearrangements play diagnostic and prognostic roles. Here we describe the use of Hi-C as a tool for detection of both balanced and unbalanced chromosomal rearrangements in primary human tumour samples, with the potential to define chromosome breakpoints to bp resolution. In addition, we show copy number profiles can also be obtained from the same data, all at a significantly lower cost than standard sequencing approaches.
  • |*Translocation, Genetic [MESH]
  • |Chromosome Aberrations [MESH]
  • |Chromosome Breakpoints [MESH]
  • |Chromosome Inversion/genetics [MESH]
  • |DNA Copy Number Variations/*genetics [MESH]
  • |Humans [MESH]
  • |In Situ Hybridization, Fluorescence [MESH]


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