Stata package for two-sample Mendelian randomization analyses using summary data
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Updated
Jul 25, 2024 - Stata
Stata package for two-sample Mendelian randomization analyses using summary data
R package of useful functions for one-sample Mendelian randomization and instrumental variable analyses
Code to draw DAG and SWIG figures for Mendelian randomization studies
MendelianRandomization is an R package for assessing causal relationships using genetic variants as instrumental variables
Mendelian Randomization approach using Cross Ancestral Model
Cystatin C and Cardiovascular Disease: A Mendelian Randomization Study.
TwosampleMR and MultivariableMR perform with simple commands without prior knowledge or having to go through lengthy boring protocols
The purpose of the study was to look at the causal relationships between lipid profiles (TG, HDL, and LDL) and diseases, drugs, and lifestyle choices. MR analysis was used and applied to GWAS from the UK Biobank to examine these associations using analysis software RStudio.
Stata package for one-sample Mendelian randomization / instrumental variable analyses
Entry for MR Data Challenge 2019
Poster for Mendelian randomization conference 2019
R package implementing nonparametric bounds for the ACE due to Balke and Pearl, JASA, 1997
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