WGCNA analysis of the HD dataset identifies highly correlated modules for each brain region. (A and B) WGCNA analysis of the cerebellum dataset. (C and D) WGCNA analysis of the frontal cortex BA4 region dataset. (E and F) WGCNA analysis of the caudate nucleus dataset. (A, C and E) Hierarchical cluster tree of the average linkage in the dissimilarity topological overlap matrix. Each vertical line correlates to a gene. The height is a measure for the dissimilarity based on the topological overlap. The band under the dendrograms indicates the correlation with HD (HD cor) based on the gene significance for each gene. Red is positively correlated with HD stage, blue is negatively correlated. (B, D and F) Visualization of modules that are highly correlated with HD. Size is the number of genes for each module. P
adj gives the Benjamini Hochberg corrected significance value of correlation with HD for each module. Modules are labeled according to the network (CB - cerebellum, FC4 - frontal cortex BA4 region and CN - caudate nucleus), the sign of the correlation (neg - negatively correlated and pos - positively correlated) and ordered by P
adj with 1 being the most significantly correlated module, followed by 2, etc.