R package of useful functions for one-sample Mendelian randomization and instrumental variable analyses
Stata package for two-sample Mendelian randomization analyses using summary data
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
Stata package for one-sample Mendelian randomization / instrumental variable analyses
Mendelian Randomization approach using Cross Ancestral Model
Cystatin C and Cardiovascular Disease: A Mendelian Randomization Study.
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.
TwosampleMR and MultivariableMR perform with simple commands without prior knowledge or having to go through lengthy boring protocols
Poster for Mendelian randomization conference 2019
Entry for MR Data Challenge 2019
Evolution (R) Simulator: using Python to understand the secrets of genetics.
DNA to Protein sequence perl app.
(do not mix with ЯR) Mendelian R or Randomization is an R package for assessing causal relationships using genetic variants as instrumental variables
R package implementing nonparametric bounds for the ACE due to Balke and Pearl, JASA, 1997
Causally-anchored multi-omic deep learning that recovers exercise-responsive and ageing-causal genes from human physical activity. LD-aware multi-omic Mendelian randomisation + graph-attention network, with cis-MR/colocalisation validation identifying CTSF for exceptional longevity.
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