Combines Wald ratios (or ratio estimates) together in an inverse variance weighted (IVW) meta-analysis, adjusting for heterogeneity in two-sample MR settings.
All genetic instrumental variables (IVs) can be invalid due to pleiotropy as long as the pleiotropy is balanced (i.e., it has a zero mean and satisfies the Instrument Strength Independent of Direct Effect – InSIDE - assumption). This means that the association of genetic IV with exposure of interest should not be associated with the path between IV and outcome that does not go via the exposure of interest. This method is asymptotically equivalent to two-stage least squares (TSLS) with uncorrelated IVs.
References
Other terms in 'Pleiotropy-robust two-sample MR methods':
- Bayes MR
- Bayesian implementation of the MR-Egger Estimator (BMRE)
- Bayesian multi-instrument Mendelian randomization (MIMR)
- Bayesian network analysis
- Causal Analysis Using Summary Effect estimates (MR-CAUSE)
- Contamination mixture models
- Generalized Summary MR (GSMR)
- Genetic Instrumental Variable (GIV)
- Hierarchical joint Analysis of Marginal summary statistics (hJAM)
- Iterative Mendelian Randomization and Pleiotropy (IMRP)
- Leave-one-out analysis
- Median-based estimate
- Mode-based estimate
- MR accounting for Correlated and Idiosyncratic Pleiotropy (MRCIP)
- MR accounting for Linkage Disequilibrium and Pleiotropy (MR-LDP)
- MR Lasso
- MR Mixture (MRMix)
- MR using Robust regression (MR Robust)
- MR with penalized weights
- MR with regularization
- MR-Clust
- MR-Egger regression and extensions
- MR-Link
- MR-Path
- Multivariable MR (MVMR) and extensions
- Welch-weighted Egger regression (WWER)