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Chunk #17 — Results — Bioinformatic analyses highlight relevant neurobiology

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Multivariate analysis of 1.5 million people identifies genetic associations with traits related to self-regulation and addiction.
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We performed bioinformatic analyses to explore biological processes underlying EXT (Supplementary Information section 6, Supplementary Tables 9–10, and 13–26; Extended Data Figs. 4–8). MAGMA gene-property analyses and gene network analysis with PCNet suggested an abundance of enrichment in genes expressed in brain tissues, particularly during prenatal developmental stages (Extended Data Figs. 6 and 8), with the strongest enrichment seen in the cerebellum, followed by frontal cortex, limbic system tissues, and pituitary gland tissues (Extended Data Fig. 5). Furthermore, MAGMA gene-set analysis and PCNet network analysis identified gene sets related to neurogenesis, nervous system development, and synaptic plasticity, among other gene-sets related to neuronal function and structure.