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Chunk #157 — ONLINE METHODS — Module Preservation Analysis

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Gene expression elucidates functional impact of polygenic risk for schizophrenia.
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global marker genes for 22 large brain structures [globalMarker(top200)]. Genes were ranked based on fold change enrichment (expression in region vs. expression in rest of brain).b) top 200 local marker genes for 90 large brain structures [localMarker(top200)]. Same as a, except that fold change is defined as expression in region vs. expression in larger region (For example, enrichment of CA1 region relative to other subcompartments of the hippocampus).c) same as b, but only local marker genes with fold change > 2 were included [localMarker(FC>2)]. Regions with < 10 marker genes were omitted.Previous WGCNA studies in brain tissue:a) modules from the cortex (CTX) network from human brain tissue49.b) modules showing region-specificity in both human and chimp (HumanChimp)131.c) modules from human (HumanMeta) and mouse (MouseMeta) brain tissue132.d) modules from neuronal-cell-type-selection experiment in mouse128,129.Previous modules associated with schizophrenia:a) modules (modules 1, 2, 7, 16, and 21) that are significantly enriched in genes differentially expressed in DLPFC between subjects with schizophrenia (N = 47) versus control (n = 54) subjects (Torkamani48).b) modules (M1A and M3A) that are significantly affected in the parietal cortex of subjects with schizophrenia (n = 50) versus control (n = 50) subjects (Chen133).c) a module (tan module) that is affected