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Robust methods in Mendelian randomization via penalization of heterogeneous causal estimates
2019
PLoS ONE
Methods have been developed for Mendelian randomization that can obtain consistent causal estimates under weaker assumptions than the standard instrumental variable assumptions. The median-based estimator and MR-Egger are examples of such methods. However, these methods can be sensitive to genetic variants with heterogeneous causal estimates. Such heterogeneity may arise from over-dispersion in the causal estimates, or specific variants with outlying causal estimates. In this paper, we develop
doi:10.1371/journal.pone.0222362
pmid:31545794
pmcid:PMC6756542
fatcat:duw3vt4vyba4rkkjqs3yckl3ni