There are 7 repositories under mendelian-randomization topic.
Analysis workflow for MRC-IEU PhD mini-project on childhood BMI effect on breast cancer
R package for epigraphdb
Mendelian Randomization with Biomarker Associations for Causality with Outcomes
Code for analyses in "Obesity and risk of female reproductive disorders: A Mendelian Randomisation Study"
R package of useful functions for one-sample Mendelian randomization and instrumental variable analyses
MR-link and genome integration. genome_integration is a repository for the analysis of genomic data. Specifically, the repository implements the causal inference method MR-link, as well as other Mendelian randomization methods.
Type 2 diabetes and dementia in the Health and Retirement Study: A Mendelian randomization approach
MR project investigating the mediating role of mammographic density in the childhood body size and breast cancer relationship
Genomic Structural Equation Modelling and Mendelian Randomization of Loneliness and Psychiatric/Substance Use Phenotypes
Analysis code and processing stages for Genome-Wide meta-analysis of low grip strength in older people.
Starter Pack About Mendelian Randomization. My Feedback about MR traning followed in 2020.
Mendelian randomisation analysis using GWAS data for neuropsychiatric disorders and chronotype to assess their bidirectional causal relationship.
R code for reproduce real data analysis in MRAPSS paper.
Mendelian Randomization of Dyslipidemia on Cognitive Impairment Among Older Americans
Simulations of MR analyses with time-varying exposures using structural mean models
Stata package for one-sample Mendelian randomization / instrumental variable analyses
Explore SNVs associated with any of UK BioBank Phenotypes, results were made publicly available by: http://www.nealelab.is/uk-biobank
R code to reproduce results of data examples in 'Selecting invalid instruments to improve MR with two-sample summary data''
Original repository for the paper MR-DoC2, however there is a custom function implemented in the R package umx()
Entry for MR Data Challenge 2019
R package implementing nonparametric bounds for the ACE due to Balke and Pearl, JASA, 1997
Easy and simple mendelian randomization pipeline using GWAS summary statistics.
Poster for Mendelian randomization conference 2019