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Chunk #13 — METHODS — Multivariable Mendelian randomization

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Extending the MR-Egger method for multivariable Mendelian randomization to correct for both measured and unmeasured pleiotropy.
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Now, the association of the genetic variants with the outcome can be decomposed into indirect effects via each of the risk factors and a residual direct effect αj′. Assuming there are 3 risk factors and all relationships are linear: (5)βYj=αj′+θ1βX1j+θ2βX2j+θ3βX3j, where θ k is the causal effect of the risk factor k on the outcome (Figure 2). We assume that the risk factors do not have causal effects on each other; we later relax this assumption and allow for causal effects between the risk factors.