Abstract
The MendelianRandomization package is a software package written for the R software environment that implements methods for Mendelian randomization based on summarized data. In this manuscript, we describe functions that have been added to the package or updated in recent years. These features can be divided into four categories: robust methods for Mendelian randomization, methods for multivariable Mendelian randomization, functions for data visualization, and the ability to load data into the package seamlessly from the PhenoScanner web-resource. We provide examples of the graphical output produced by the data visualization commands, as well as syntax for obtaining suitable data and performing a Mendelian randomization analysis in a single line of code.
Highlights
Mendelian randomization is an epidemiological technique that uses genetic variants to link modifiable risk factors to clinical outcomes[1,2]
These features can be divided into four categories: robust methods for Mendelian randomization, methods for multivariable Mendelian randomization, functions for data visualization, and the ability to load data into the package seamlessly from the PhenoScanner web-resource
Implementation The initial release of the MendelianRandomization package included four functions for the estimation of causal effects based on summarized genetic data in a univariable Mendelian randomization framework
Summary
Mendelian randomization is an epidemiological technique that uses genetic variants to link modifiable risk factors to clinical outcomes[1,2]. The MendelianRandomization package is a software package written for the R software environment[3] that implements methods for Mendelian randomization based on summarized data[4]. While the basic functionality and initial features of the package have been discussed previously[5], several functions have been added to the package in recent years. These features can be divided into four categories: robust methods for Mendelian randomization, methods for multivariable Mendelian randomization, functions for data visualization, and the ability to load data into the package seamlessly from the PhenoScanner web-resource. A list of functions in the package is provided as Table 1
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