Mendelian Randomization with Biomarker Associations for Causality with Outcomes
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Updated
Dec 7, 2018 - R
Mendelian Randomization with Biomarker Associations for Causality with Outcomes
Entry for MR Data Challenge 2019
Easy and simple mendelian randomization pipeline using GWAS summary statistics.
Analysis code and processing stages for Genome-Wide meta-analysis of low grip strength in older people.
Mendelian randomisation analysis using GWAS data for neuropsychiatric disorders and chronotype to assess their bidirectional causal relationship.
Explore SNVs associated with any of UK BioBank Phenotypes, results were made publicly available by: http://www.nealelab.is/uk-biobank
Poster for Mendelian randomization conference 2019
R functions for g-estimation of structural nested cumulative failure models using (1) confounding adjustment or (2) instrumental variable analysis
Code for analyses in "Obesity and risk of female reproductive disorders: A Mendelian Randomisation Study"
Original repository for the paper MR-DoC2, however there is a custom function implemented in the R package umx()
R code for reproduce real data analysis in MRAPSS paper.
Simulations of MR analyses with time-varying exposures using structural mean models
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.
R package for epigraphdb
An R script to perform two sample Mendelian randomization screening (with TwoSampleMR) for a custom summary statistic against a set of summary statistics from the IEU GWAS database.
Genomic Structural Equation Modelling and Mendelian Randomization of Loneliness and Psychiatric/Substance Use Phenotypes
Scripts for various molecular quantitative trait locus (xQTL) analysis.
Mendelian Randomization of Dyslipidemia on Cognitive Impairment Among Older Americans
Type 2 diabetes and dementia in the Health and Retirement Study: A Mendelian randomization approach
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