ArticleStatistics in medicine2021
Testing and correcting for weak and pleiotropic instruments in two-sample 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 388 papers, 4 of them syntheses that pooled it.
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Who cites it
388 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Assessing the causal effects of environmental tobacco smoke exposure: a meta-analytic Mendelian randomization study.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2026Pooled it
- Lifecourse genome-wide association study meta-analysis refines the critical life stages for adiposity's influence on breast cancer risk.Science advances · 2026Pooled 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
- The relationship of immune cells with autism spectrum disorder: a bidirectional Mendelian randomization study.BMC psychiatry · 2024Pooled it
- FA-MFMR: a multivariable functional Mendelian randomization method that accounts for correlated longitudinal exposures via factor augmentation.Bioinformatics (Oxford, England) · 2026Article
- Body mass index and type 2 diabetes liability in osteomyelitis and cellulitis: A cross-biobank Mendelian randomization study.Medicine · 2026Article
- Genetic factor analysis for characterizing phenome-wide patterns of genetic pleiotropy.Nature genetics · 2026Article
- Article
- Circulating Inflammatory Markers and Mammographic Density Phenotypes: a Mendelian Randomization Analysis.medRxiv : the preprint server for health sciences · 2026Article
- Applying Bayesian Multivariable Mendelian Randomisation to Prioritise Candidate Causal Traits From High-Dimensional Data: Illustration From Estimation of the Effect of Maternal Metabolites on Offspring Birthweight.Genetic epidemiology · 2026Article
- APOC1-Associated VLDL-Pathway Dysregulation in Papillary Thyroid Carcinoma: A Reproducible Cross-Cohort Transcriptomic Signature Associated With the Diagnostic-to-Treatment Interval.Chemical biology & drug design · 2026Article
- Inferring multi-organ genetic connections using imaging and clinical data through Mendelian randomization.Nature biomedical engineering · 2026Article
- Article
- Comparing genome-wide significant and chemosensory variants as instruments for dietary patterns in Mendelian randomization.International journal of epidemiology · 2026Article
- Genetic clusters of BMI reveal symptom-specific causal effects on depression.Molecular psychiatry · 2026Article
- Integrating immune-cell transcriptomic data with Mendelian randomisation reveals novel causal genes for type 2 diabetes and its complications.Diabetologia · 2026Article
- Plasma metabolite octadecadienedioate: A novel protective factor against diabetes-related Charcot foot.Medicine · 2026Article
- Article
- Early-life body mass index and adult fat distribution: a life-course Mendelian randomisation study.BMJ open · 2026Article
- Mapping the genetically predicted associations between lower-extremity muscle traits and spinal diseases.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026Article
328 more citing papers are in PubMed but not listed here.
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Authors and funding
3 authors.
Funding
Abstract
Multivariable Mendelian randomization (MVMR) is a form of instrumental variable analysis which estimates the direct effect of multiple exposures on an outcome using genetic variants as instruments. Mendelian randomization and MVMR are frequently conducted using two-sample summary data where the association of the genetic variants with the exposures and outcome are obtained from separate samples. If the genetic variants are only weakly associated with the exposures either individually or conditionally, given the other exposures in the model, then standard inverse variance weighting will yield biased estimates for the effect of each exposure. Here, we develop a two-sample conditional F-statistic to test whether the genetic variants strongly predict each exposure conditional on the other exposures included in a MVMR model. We show formally that this test is equivalent to the individual level data conditional F-statistic, indicating that conventional rule-of-thumb critical values of
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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.