Gene co-expression network analysis has been increasingly used to identify gene subnetworks for prioritizing gene targets associated with a variety of common human diseases such as cancer and obesity.In this study,we conducted a comprehensive gene coexpression network analysis on the gene expression data of 1,062 post-mortem tissue samples from multiple brain regions of subjects diagnosed with Alzheimers disease (AD) and normal,disease-free controls.Two global cross-tissue weighted gene co-expression networks were constructed to simultaneously capture both intra-tissue and inter-tissue gene co-expression modules in the AD subjects and the normal controls respectively.A comparative network analysis unravels multiple AD-specific gene modules that dramatically gain connectivity.