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Editorial
July 2014

Coexpression Networks Predict Ataxia Genes

Author Affiliations
  • 1Department of Neurology, University of Utah, Salt Lake City
  • 2Department of Biomedical Informatics, University of Utah, Salt Lake City
JAMA Neurol. 2014;71(7):825-828. doi:10.1001/jamaneurol.2014.757

The genomics revolution has introduced novel platforms and bioinformatics approaches to the study of human diseases and model organisms. In this issue of JAMA Neurology, Bettencourt et al1 apply advanced bioinformatics techniques to elucidate the molecular functions and mechanisms of cerebellar gene expression networks using samples from a human brain bank. Their results have the potential to inform our understanding of degenerative diseases of the cerebellum and of shared pathways and discovery of novel disease genes.

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