articleEuropean Journal of EpidemiologyMay 1, 2017HYBRID OA

Interpreting findings from Mendelian randomization using the MR-Egger method

University of Cambridge · MRC Biostatistics Unit

PubMed
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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…

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Topics & keywords

Keywords
  • Mendelian randomization
  • Publication bias
  • Instrumental variable
  • Pleiotropy
  • Randomization
  • Causal inference
  • Selection bias
  • Econometrics
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