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Abstract Horizontal pleiotropy poses challenges in Mendelian randomization (MR) by biasing causal estimates, particularly when using numerous instrumental variables (IVs). We propose MRZ, a method that leverages IV-outcome association z-scores modeled as a mixture distribution to distinguish causal effects from IV-specific pleiotropy.
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