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...
Mendelian randomization uses genetic variants as instrumental variables to estimate the causal effec...
Mendelian randomization (MR) is a framework for assessing causal inference using cross-sectional dat...
The identification of disease causing variants in the list of all variants called in sequencing data...
The MendelianRandomization package is a software package written for the R software environment that...
MendelianRandomization is a software package for the R open-source software environment that perform...
Mendelian randomization (MR) can be variously dated as 67,1 33,2 283 or 164 (amongst others) years o...
Variants used for instrumental variable in inverse variance weighted, multivariable, and two-sample ...
This paper provides guidelines for performing Mendelian randomization investigations. It is aimed at...
This is a snapshot of the MendelianRandomization package version 0.9.0 for Wellcome Open Research
Mendelian randomization (MR) has been increasingly used to interrogate the causal effects of modifia...
Background: Summary data furnishing a two-sample Mendelian randomization study are often visualized ...
Mendelian randomization (MR) is an approach that uses genetic variants associated with a modifiable ...
The number of Mendelian randomization (MR) analyses including large numbers of genetic variants is r...
This paper provides guidelines for performing Mendelian randomization investigations. It is aimed at...
This is a snapshot of the MendelianRandomization package for Wellcome Open Research
Mendelian randomization uses genetic variants as instrumental variables to estimate the causal effec...
Mendelian randomization (MR) is a framework for assessing causal inference using cross-sectional dat...
The identification of disease causing variants in the list of all variants called in sequencing data...
The MendelianRandomization package is a software package written for the R software environment that...
MendelianRandomization is a software package for the R open-source software environment that perform...
Mendelian randomization (MR) can be variously dated as 67,1 33,2 283 or 164 (amongst others) years o...
Variants used for instrumental variable in inverse variance weighted, multivariable, and two-sample ...
This paper provides guidelines for performing Mendelian randomization investigations. It is aimed at...
This is a snapshot of the MendelianRandomization package version 0.9.0 for Wellcome Open Research
Mendelian randomization (MR) has been increasingly used to interrogate the causal effects of modifia...
Background: Summary data furnishing a two-sample Mendelian randomization study are often visualized ...
Mendelian randomization (MR) is an approach that uses genetic variants associated with a modifiable ...
The number of Mendelian randomization (MR) analyses including large numbers of genetic variants is r...
This paper provides guidelines for performing Mendelian randomization investigations. It is aimed at...
This is a snapshot of the MendelianRandomization package for Wellcome Open Research
Mendelian randomization uses genetic variants as instrumental variables to estimate the causal effec...
Mendelian randomization (MR) is a framework for assessing causal inference using cross-sectional dat...
The identification of disease causing variants in the list of all variants called in sequencing data...