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.
Pulst SM, Pflieger LT. Coexpression Networks Predict Ataxia Genes. JAMA Neurol. 2014;71(7):825–828. doi:https://doi.org/10.1001/jamaneurol.2014.757
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