nominally significantp≤ 0.05
All nominally significant transcripts identified in the univariate analyses (p≤ 0.05) were used to generate AD-relevant gene co-expression networks.
All nominally significant transcripts identified in the univariate analyses (p≤ 0.05) were used to generate AD-relevant gene co-expression networks.
A highly significant positive correlation between module membership ((MM), correlation of individual gene expression with ME of its respective module) and gene significance ((GS), correlation of individual gene expression with AD case-status) for NAc was observed, supporting previous observations in PFC, where genes significantly correlated with AD were also the most important (or central) elements of the module for AD ( Fig 3A ) [ 42 ].