Getting to GRIPS with MR-Egger: Modelling directional pleiotropy independently of allele coding

Mendelian Randomisation Egger regression (MR-Egger) is a popular method for causal inference using single-nucleotide polymorphisms (SNPs) as instrumental variables. It allows all SNPs to have direct pleiotropic effects on the outcome, provided that those effects are independent of the effects on the exposure, known as the InSIDE assumption. However, the results of MR-Egger, and the InSIDE assumption itself, are sensitive to which allele is coded as the effect allele for each SNP. A pragmatic convention is to code the alleles with positive effects on the exposure, which has some advantages in interpretation but some statistical limitations. Here we show that if the InSIDE assumption holds under all-positive coding of the exposure effects, it cannot hold under all-positive coding of the pleiotropic effects, and argue that this undermines the soundness of MR-Egger. We propose a modification that has the Genotype Recoding Invariance Property (GRIP), achieving the main aim of MR-Egger without the difficulties of allele coding. Our approach, MR-GRIP, is valid under a "Variance Independent of Covariance Explained" assumption (VICE), which amounts to an inverse relationship between exposure effects and pleiotropic effects. Examples and simulations suggest that MR-GRIP can reconcile differences between MR-Egger and alternative methods.

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Publication Details

Journal
PLoS Genetics
Published
2025-12-30
DOI
https://doi.org/10.1371/journal.pgen.1011967
Primary Topic
Genetic Associations and Epidemiology
Type
article
Field-Weighted Citation Impact
1.82

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article

Getting to GRIPS with MR-Egger: Modelling directional pleiotropy independently of allele coding

Katie Saxby, Bethany Voller, Luke Pilling, Jack Bowden et al.
PLoS Genetics
Genetic Associations and Epidemiology
1.82
article

Getting to GRIPS with MR-Egger: Modelling directional pleiotropy independently of allele coding

Katie Saxby, Bethany Voller, Luke Pilling, Jack Bowden, Ruby M Woodward, Frank Dudbridge, Timothy M. Frayling
article en

Abstract

Mendelian Randomisation Egger regression (MR-Egger) is a popular method for causal inference using single-nucleotide polymorphisms (SNPs) as instrumental variables. It allows all SNPs to have direct pleiotropic effects on the outcome, provided that those effects are independent of the effects on the exposure, known as the InSIDE assumption. However, the results of MR-Egger, and the InSIDE assumption itself, are sensitive to which allele is coded as the effect allele for each SNP. A pragmatic convention is to code the alleles with positive effects on the exposure, which has some advantages in interpretation but some statistical limitations. Here we show that if the InSIDE assumption holds under all-positive coding of the exposure effects, it cannot hold under all-positive coding of the pleiotropic effects, and argue that this undermines the soundness of MR-Egger. We propose a modification that has the Genotype Recoding Invariance Property (GRIP), achieving the main aim of MR-Egger without the difficulties of allele coding. Our approach, MR-GRIP, is valid under a "Variance Independent of Covariance Explained" assumption (VICE), which amounts to an inverse relationship between exposure effects and pleiotropic effects. Examples and simulations suggest that MR-GRIP can reconcile differences between MR-Egger and alternative methods.

PLoS GeneticsVol. 21(12)
University of Geneva (CH), University of Leicester (GB), University of Exeter (GB), Novo Nordisk (United Kingdom) (GB)
National Institute for Health and Care Research, Department of Health and Social Care, Medical Research Council, Engineering and Physical Sciences Research Council, Economic and Social Research Council, NIHR Leicester Biomedical Research Centre
Openalex Percentile: Top 10%
Genetic Associations and Epidemiology
1.82
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