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Chunk #14 — Results — Integration of GWAS results with functional genomic data.

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Multi-ancestry meta-analysis of tobacco use disorder identifies 461 potential risk genes and reveals associations with multiple health outcomes.
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Using S-MultiXcan to predict the effect of common SNP variation on gene expression in multiple brain tissues, we detected significant associations for 46 genes (Supplementary Table 17), with effects dispersed across 13 brain regions (amygdala, anterior cingulate cortex, basal ganglia [nucleus accumbens and putamen], cortex and frontal cortex, cerebellar hemisphere, cerebellum, hypothalamus, spinal cord, substantia nigra). Inspection of region-specific results via S-PrediXcan identified 25 genes that were consistently upregulated (GPX1, PPP6C, GMPPB, WDR6, QRICH1, NICN1, ARFRP1, METTL21B, RNF123, CCDC88B, HIST1H2BD, CCDC71, PSMA4) or downregulated (CHRNA2, AMT, P4HTM, NCKIPSD, ATP23, DALRD3, MST1, RHCE, TSFM, RBM6, TRIM35, PHACTR4) in more than one brain region (Supplementary Table 18).