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ABSTRACT: Background
Gene expression data provide invaluable insights into disease mechanisms. In Huntington's disease (HD), a neurodegenerative disease caused by a tri-nucleotide repeat expansion in the huntingtin gene, extensive transcriptional dysregulation has been reported. Conventional dysregulation analysis has shown that e.g. in the caudate nucleus of the post mortem HD brain the gene expression level of about a third of all genes was altered. Owing to this large number of dysregulated genes, the underlying relevance of expression changes is often lost in huge gene lists that are difficult to comprehend.Methods
To alleviate this problem, we employed weighted correlation network analysis to archival gene expression datasets of HD post mortem brain regions.Results
We we
SUBMITTER: Neueder A
PROVIDER: S-EPMC4219025 | biostudies-literature | 2014 Oct
REPOSITORIES: biostudies-literature