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Chunk #12 — MATERIALS AND METHODS — Biological annotation, gene and transcriptome-based association analyses

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Item-Level Genome-Wide Association Study of the Alcohol Use Disorders Identification Test in Three Population-Based Cohorts.
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and and iPSC-derived astrocytes (https://github.com/thewonlab/H-MAGMA). Lastly, we used S-PrediXcan v0.6.2 (27) to predict gene expression levels in 13 brain tissues, and to test whether the predicted gene expression showed divergent correlation patterns with each of the AUDIT latent genetic factors. Pre-computed tissue weights from the Genotype-Tissue Expression (GTEx v8) project database (https://www.gtexportal.org/) were used as the reference transcriptome dataset. Further details are provided in the Supplementary Material 6.