title: Evaluating translocation gene fusions by SNP array data.
abstract: 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.
authors.affiliation: Lead Generation to Candidate Realization, Sanofi, Route 202-206, Bridgewater, NJ 08807 USA.
authors.forename: Hong
authors.initials: H
authors.lastname: Liu
authors.forename: Asher
authors.initials: A
authors.lastname: Zilberstein
authors.forename: Pascal
authors.initials: P
authors.lastname: Pannier
authors.forename: Frederic
authors.initials: F
authors.lastname: Fleche
authors.forename: Christopher
authors.initials: C
authors.lastname: Arendt
authors.forename: Christoph
authors.initials: C
authors.lastname: Lengauer
authors.forename: Chang S
authors.initials: CS
authors.lastname: Hahn