MendelianRandomization v0.5.0: updates to an R package for performing Mendelian randomization analyses using...

Area of Science:

• Genetics and Biostatistics
• Computational Biology
• Epidemiology

Background:

• Mendelian randomization (MR) is a powerful method for inferring causal relationships using genetic variants as instrumental variables.
• Summarized genetic data is increasingly available, necessitating efficient analytical tools.
• The R package 'MendelianRandomization' provides a framework for MR analyses.

Purpose of the Study:

• To describe recent updates and new functionalities in the MendelianRandomization R package.
• To enhance the package's capabilities for robust and multivariable Mendelian randomization.
• To improve user experience through data visualization and streamlined data access.

Main Methods:

• Implementation of robust statistical methods for Mendelian randomization.
• Development of functions for multivariable Mendelian randomization analyses.
• Integration with the PhenoScanner web resource for direct data retrieval.
• Inclusion of advanced data visualization tools for interpreting MR results.

Main Results:

• The updated package offers advanced techniques for Mendelian randomization analysis.
• New functions facilitate the execution of multivariable MR and robust MR.
• Enhanced data visualization capabilities provide intuitive graphical outputs.
• Seamless data loading from PhenoScanner simplifies the analysis workflow.

Conclusions:

• The enhanced MendelianRandomization package provides a comprehensive and user-friendly tool for genetic causal inference.
• Recent updates significantly expand the package's utility for complex Mendelian randomization studies.
• The integration with PhenoScanner and improved visualization streamline the research process.