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. Author manuscript; available in PMC: 2019 Jun 30.
Published in final edited form as: Nat Neurosci. 2018 May 25;21(6):811–819. doi: 10.1038/s41593-018-0154-9

Figure 1. Schematic of the implementation of the module-trait network (MTN) method to prioritize modules and genes directly related to AD-related traits in our study.

Figure 1.

(A) Inputs to the MTN method are: 1) AD pathological traits of amyloid and tau measurements, which are aggregated over multiple brain regions; 2) slope of cognitive decline prior to death aggregated over multiple neuropsychologic tests; and 3) average expression of coexpressed gene sets (modules), detected in the same subjects using consensus clustering. (B) These three inputs are combined using conditional independence relationships (via Bayesian networks) to identify direct relationships among coexpression modules, AD traits and cognitive decline. (C) The disease relevance of top predicted genes were tested experimentally in an astrocyte and iPSC-induced neuron in vitro system.