Correlation analysis between single-nucleotide polymorphism and expression arrays in gliomas identifies potentially relevant target genes.

ABSTRACT: Primary brain tumors are a major cause of cancer mortality in the United States. Therapy for gliomas, the most common type of primary brain tumors, remains suboptimal. The development of improved therapeutics will require greater knowledge of the biology of gliomas at both the genomic and transcriptional levels. We have previously reported whole genome profiling of chromosome copy number alterations (CNA) in gliomas, and now present our findings on how those changes may affect transcription of genes that may be involved in tumor induction and progression. By calculating correlation values of mRNA expression versus DNA copy number average in a moving window around a given RNA probe set, biologically relevant information can be gained that is obscured by the analysis of a single data type. C

SUBMITTER: Kotliarov Y 

PROVIDER: S-EPMC2644341 | biostudies-literature | 2009 Feb

REPOSITORIES: biostudies-literature