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We propose structural equation models (SEMs) as a general framework to infer causal networks for metabolites and other complex traits. Traditionally SEMs are used only for individual‐level data under the assumption that all instrumental variables (IVs) are valid. To overcome these limitations, we propose both one‐ and two‐sample approaches for causal network inference based on SEMs that can: (1) perform...