ArticleStatistics in medicine2021
Pleiotropy robust methods for multivariable Mendelian randomization.
Article in Statistics in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 128 papers, 3 of them syntheses that pooled it.
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Who cites it
128 citing papers in PubMed, 3 syntheses or guidelines pooled it, 216 citations in OpenAlex.
- Mendelian randomization and genetic analyses reveal causal roles of immune cells and inflammatory proteins in keratoconus.Scientific reports · 2025Pooled it
- The impact of metabolic syndrome on hepatocellular carcinoma: a mendelian randomization study.Scientific reports · 2025Pooled it
- Genetic insights into resting heart rate and its role in cardiovascular disease.Nature communications · 2023Pooled it
- Age at first sexual intercourse and frailty: Mendelian randomization and population-based evidence from NHANES and UK Biobank.Sexual medicine · 2026Article
- Article
- TL-HDMR: a transfer learning framework for advancing equitable causal inference reveals metabolic signatures of stroke across multiple ancestries.Briefings in bioinformatics · 2026Article
- Early‑life head circumference is causally associated with adult executive function through cortical surface area expansion.Developmental cognitive neuroscience · 2026Article
- Causal link between circulating beta-hydroxybutyrate and myocardial infarction: Evidence from Mendelian randomization.Medicine · 2026Article
- Comparison of methods for assessing effects of risk factors on disease progression in Mendelian randomization under index event bias.American journal of human genetics · 2026Article
- Causal relationship between tinnitus and 8 psychiatric phenotypes: a Mendelian randomization study.European archives of psychiatry and clinical neuroscience · 2026Article
- A multi-tissue mendelian randomization method based on eQTL data for mapping tissue-specific disease genes.BMC bioinformatics · 2026Article
- Global burden, projections, and causal factors of maternal sepsis and other maternal infections: A comprehensive epidemiological and mendelian randomization study.PLoS neglected tropical diseases · 2026Article
- Estimating causal effects of C-reactive protein on disease and health outcomes using multivariable Mendelian randomization adjusting for heritable confounding.International journal of epidemiology · 2026Article
- Disentangling the Effect of BMI on Hepatocellular Carcinoma From Cirrhosis With Multivariable Mendelian Randomization.Liver international : official journal of the International Association for the Study of the Liver · 2026Article
- Assessing the causal impact of leisure-time physical activity and screen time on lifespan: a Mendelian randomization study.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2026Article
- Life-course influence of birthweight and subsequent pathways on healthy aging: a Mendelian randomization study.BMC medicine · 2026Article
- Decoding Causal Associations Between Neuropsychiatric Disorders and Rotator Cuff Tendinopathy: A Two-Sample Mendelian Randomization Study.Brain and behavior · 2026Article
- Exploring the genetic link between type 2 diabetes and its complications and esophageal malignancy: A Mendelian randomization study.Medicine · 2026Article
- Integration of latent factor analysis into multivariable Mendelian randomization.European journal of epidemiology · 2026Article
- Plant-Based Food Preferences Rich in Polyphenols and Their Causal Effects on Inflammatory Bowel Disease.Food science & nutrition · 2026Article
68 more citing papers are in PubMed but not listed here.
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Authors and funding
2 authors at 1 institution in 2 countries.
Funding
Abstract
Mendelian randomization is a powerful tool for inferring the presence, or otherwise, of causal effects from observational data. However, the nature of genetic variants is such that pleiotropy remains a barrier to valid causal effect estimation. There are many options in the literature for pleiotropy robust methods when studying the effects of a single risk factor on an outcome. However, there are few pleiotropy robust methods in the multivariable setting, that is, when there are multiple risk factors of interest. In this article we introduce three methods which build on common approaches in the univariable setting: MVMR-Robust; MVMR-Median; and MVMR-Lasso. We discuss the properties of each of these methods and examine their performance in comparison to existing approaches in a simulation study. MVMR-Robust is shown to outperform existing outlier robust approaches when there are low levels of pleiotropy. MVMR-Lasso provides the best estimation in terms of mean squared error for moderate to high levels of pleiotropy, and can provide valid inference in a three sample setting. MVMR-Median performs well in terms of estimation across all scenarios considered, and provides valid inference up to a moderate level of pleiotropy. We demonstrate the methods in an applied example looking at the effects of intelligence, education and household income on the risk of Alzheimer's disease.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.