ArticleWellcome open research2023
MendelianRandomization v0.9.0: updates to an R package for performing Mendelian randomization analyses using summarized data.
Article in Wellcome open research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 3 of them syntheses that pooled it.
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Who cites it
50 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Pooled it
- rs762855 single nucleotide polymorphism modulates the risk for diffuse-type gastric cancer in females: a genome-wide association study in the Korean population.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2025Pooled it
- Leveraging pleiotropy identifies common-variant associations with selective IgA deficiency.Clinical immunology (Orlando, Fla.) · 2024Pooled it
- Multivariable Mendelian Randomization With Weak Instruments: A Comparison of Bayesian and Frequentist Methods.Statistics in medicine · 2026Article
- Circulating Inflammatory Markers and Mammographic Density Phenotypes: a Mendelian Randomization Analysis.medRxiv : the preprint server for health sciences · 2026Article
- The role of ferroptosis in juvenile idiopathic arthritis: Causal inference and mediation by immune phenotypes.Medicine · 2026Article
- Genome-wide pQTL mapping in human skin identifies specific genetic regulators and mechanistic links to skin disorders.Nature communications · 2026Article
- Periodontal diseases and all-cause dementia risk: Genetic instrument analyses in half a million UK Biobank participants.Journal of Alzheimer's disease : JAD · 2026Article
- An integrative mendelian randomisation and drug mechanism framework for target prioritisation and therapeutic repurposing in major depression.Translational psychiatry · 2026Article
- Body Mass Index, Clinical Outcomes, and Mortality in Heart Failure: A Mendelian Randomization Study.Journal of the American College of Cardiology · 2026Article
- Evaluating the causal effect of mitochondrial dysfunction on Alzheimer's disease and Parkinson's disease using polygenic risk scores and Mendelian randomization.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Article
- Repurposing drugs for the prevention of vascular dementia using evidence from drug target Mendelian randomization.Nature aging · 2026Article
- Influence of inflammatory and metabolic factors on keratoconus risk: a causal inference analysis.Eye (London, England) · 2026Article
- Single-cell transcriptome-wide Mendelian randomization during CD4Communications biology · 2026Article
- Extending the Use of Mendelian Randomisation With Non-Inherited Variants to Assess Socially Transmitted Parental Exposures Under Assortative Mating.Genetic epidemiology · 2026Article
- Gut microbiota, lipid metabolism, and PCOS: A Mendelian randomization and mediation analysis.Medicine · 2026Article
- Multi-omics Data Integration.Advances in experimental medicine and biology · 2026Review
- Expanding the genetic landscape of endometriosis: Integrative -omics analyses implicate key genes and pathways in a multi-ancestry study of over one million women.Research square · 2025Article
- Polyunsaturated Fatty Acids and Skin Cancer: Two-Sample Mendelian Randomization Study.Annals of dermatology · 2025Article
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Authors and funding
8 authors.
Funding
Abstract
The MendelianRandomization package is a software package written for the R software environment that implements methods for Mendelian randomization based on summarized data. In this manuscript, we describe functions that have been added or edited in the package since version 0.5.0, when we last described the package and its contents. The main additions to the package since that time are: 1) new robust methods for performing Mendelian randomization, particularly in the cases of bias from weak instruments and/or winner's curse, and pleiotropic variants, 2) methods for performing Mendelian randomization with correlated variants using dimension reduction to summarize large numbers of highly correlated variants into a limited set of principal components, 3) functions for calculating first-stage F statistics, representing instrument strength, in both univariable and multivariable contexts, and with uncorrelated and correlated genetic variants. We also discuss some pragmatic issues relating to the use of correlated variants in Mendelian randomization.
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