Interpreting findings from Mendelian randomization using the MR-Egger method
University of Cambridge · MRC Biostatistics Unit
Abstract
Mendelian randomization-Egger (MR-Egger) is an analysis method for Mendelian randomization using summarized genetic data. MR-Egger consists of three parts: (1) a test for directional pleiotropy, (2) a test for a causal effect, and (3) an estimate of the causal effect. While conventional analysis methods for Mendelian randomization assume that all genetic variants satisfy the instrumental variable assumptions, the MR-Egger method is able to assess whether genetic variants have pleiotropic effects on the outcome that differ on average from zero (directional pleiotropy), as well as to provide a consistent estimate of the causal effect, under a weaker assumption-the InSIDE (INstrument Strength Independent of…
Citation impact
- FWCI
- 58.36
- Percentile
- 100%
- References
- 56
Authors
2Topics & keywords
- Mendelian randomization
- Publication bias
- Instrumental variable
- Pleiotropy
- Randomization
- Causal inference
- Selection bias
- Econometrics