MendelianRandomization v0.9.0: updates to an R package for performing Mendelian randomization analyses using summarized data

Summary

This paper documents version 0.9.0 of the MendelianRandomization R package, which implements causal inference methods based on summarized genetic data. Key additions since version 0.5.0 include robust methods addressing weak instruments and pleiotropy, dimension reduction approaches for correlated variants, and enhanced F-statistic calculations for assessing instrument strength in both univariable and multivariable contexts. The paper addresses practical challenges in applying Mendelian randomization to correlated genetic variants.

Regional applicability

This is a methodological tool paper with global applicability. Researchers in the United Kingdom and internationally using Mendelian randomization for causal inference in nutritional epidemiology, food systems research, and health studies may adopt these methods. The package and approaches are not geography-specific.

Key measures

First-stage F statistics; instrument strength metrics; pleiotropy detection; dimension reduction techniques for correlated variants

Outcomes reported

The paper describes updates to the MendelianRandomization R package, detailing new functions for robust causal inference analysis using genetic data. It reports on methods for handling weak instruments, pleiotropy, correlated variants, and instrument strength assessment.

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