This paper provides guidelines for performing Mendelian randomization investigations. It is aimed at practitioners seeking to undertake analyses and write up their findings, and at journal editors and reviewers seeking to assess Mendelian randomization manuscripts. The guidelines are divided into nine sections: motivation and scope, data sources, choice of genetic variants, variant harmonization, primary analysis, supplementary and sensitivity analyses (one section on robust methods and one on other approaches), data presentation, and interpretation. These guidelines will be updated based on feedback from the community and advances in the field. Updates will be made periodically as needed, and at least every 18 months
Session - Contributions to Causal inference: abstract no. 465Mendelian randomization, which is instr...
The Mendelian randomization approach is concerned with the causal pathway between a gene, an interme...
The aim of aetiologic studies in epidemiology is to investigate whether factors are causally related...
This paper provides guidelines for performing Mendelian randomization investigations. It is aimed at...
This paper provides guidelines for performing Mendelian randomization investigations. It is aimed at...
This paper provides guidelines for performing Mendelian randomization investigations. It is aimed at...
Mendelian randomization (MR) can be variously dated as 67,1 33,2 283 or 164 (amongst others) years o...
Abstract Background Mendelian randomization (MR) is fast becoming a popular method to judge causalit...
BACKGROUND Genetic information is becoming more easily available, and rapid progress is being made i...
Mendelian randomization (MR) is a framework for assessing causal inference using cross-sectional dat...
The number of Mendelian randomization (MR) analyses including large numbers of genetic variants is r...
Mendelian randomisation is an accessible and valuable epidemiological approach to provide insight in...
The MendelianRandomization package is a software package written for the R software environment that...
© Published by the BMJ Publishing Group Limited. For permission to use (where not already granted un...
Mendelian randomization uses genetic variants as instrumental variables to estimate the causal effec...
Session - Contributions to Causal inference: abstract no. 465Mendelian randomization, which is instr...
The Mendelian randomization approach is concerned with the causal pathway between a gene, an interme...
The aim of aetiologic studies in epidemiology is to investigate whether factors are causally related...
This paper provides guidelines for performing Mendelian randomization investigations. It is aimed at...
This paper provides guidelines for performing Mendelian randomization investigations. It is aimed at...
This paper provides guidelines for performing Mendelian randomization investigations. It is aimed at...
Mendelian randomization (MR) can be variously dated as 67,1 33,2 283 or 164 (amongst others) years o...
Abstract Background Mendelian randomization (MR) is fast becoming a popular method to judge causalit...
BACKGROUND Genetic information is becoming more easily available, and rapid progress is being made i...
Mendelian randomization (MR) is a framework for assessing causal inference using cross-sectional dat...
The number of Mendelian randomization (MR) analyses including large numbers of genetic variants is r...
Mendelian randomisation is an accessible and valuable epidemiological approach to provide insight in...
The MendelianRandomization package is a software package written for the R software environment that...
© Published by the BMJ Publishing Group Limited. For permission to use (where not already granted un...
Mendelian randomization uses genetic variants as instrumental variables to estimate the causal effec...
Session - Contributions to Causal inference: abstract no. 465Mendelian randomization, which is instr...
The Mendelian randomization approach is concerned with the causal pathway between a gene, an interme...
The aim of aetiologic studies in epidemiology is to investigate whether factors are causally related...