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Chunk #26 — Discussion

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Analysis of whole genome-transcriptomic organization in brain to identify genes associated with alcoholism.
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interactions in the etiology of alcohol dependence. This also reinforces the need for multi-omics data to understand a complex disorder like alcoholism. eQTLs for genes in the brown4 module (N = 726 genes) were significantly enriched for GWAS signals (P = 4.2 × 10−3) in the PGC-AD GWAS. Interestingly this module was also positively correlated with alcohol dependence (0.18, P = 4.0 × 10−2) in trait-module correlation analysis.