Chunk #20 — RESULTS — Latent variable approach characterizes and ameliorates bias in GWAS of alcohol consumption

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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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By estimating genetic correlations in a Genomic Structural Equation Modeling framework, we identified interesting patterns of relationships between 100 exogenous phenotypes (chosen based on previous findings or hypothesized relationships) and the Consumption and Problems latent genetic factors. We also examined correlations with the residual genetic variance in item 1 (i.e., the genetic variance in item 1 that is unrelated to other AUDIT items; henceforth “Frequency Residual”). Results are reported in Table S8.