Evaluating translocation gene fusions by SNP array data

Hong Liu, Asher Zilberstein, Pascal Pannier, Frederic Fleche, Christopher Arendt, Christoph Lengauer, Chang S. Hahn

Research output: Contribution to journalArticlepeer-review

3 Scopus citations


Somatic cell genetic alterations are a hallmark of tumor development and progression. Although various technologies have been developed and utilized to identify genetic aberrations, identifying genetic translocations at the chromosomal level is still a challenging task. High density SNP microarrays are useful to measure DNA copy number variation (CNV) across the genome. Utilizing SNP array data of cancer cell lines and patient samples, we evaluated the CNV and copy number breakpoints for several known fusion genes implicated in tumorigenesis. This analysis demonstrated the potential utility of SNP array data for the prediction of genetic aberrations via translocations based on identifying copy number breakpoints within the target genes. Genome-wide analysis was also performed to identify genes harboring copy number breakpoints across 820 cancer cell lines. Candidate oncogenes were identified that are linked to potential translocations in specific cancer cell lines.

Original languageEnglish (US)
Pages (from-to)15-27
Number of pages13
JournalCancer Informatics
StatePublished - 2012
Externally publishedYes


  • Copy number breakpoint
  • Copy number variation
  • SNP array
  • Translocation

ASJC Scopus subject areas

  • Cancer Research
  • Oncology


Dive into the research topics of 'Evaluating translocation gene fusions by SNP array data'. Together they form a unique fingerprint.

Cite this