ArticleEuropean journal of epidemiology2020
Mendel's laws, Mendelian randomization and causal inference in observational data: substantive and nomenclatural issues.
Article in European journal of epidemiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 148 papers, 9 of them syntheses that pooled it.
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Who cites it
148 citing papers in PubMed, 9 syntheses or guidelines pooled it.
- The association between steatotic liver disease and chronic kidney disease: a meta-analysis and Mendelian randomization study highlighting metabolic comorbidities.Nutrition & diabetes · 2026Pooled it
- A burden of proof study on alcohol consumption and ischemic heart disease.Nature communications · 2024Pooled it
- Type 2 diabetes and inflammatory bowel disease: a bidirectional two-sample Mendelian randomization study.Scientific reports · 2024Pooled it
- Application of Mendelian randomized research method in oncology research: bibliometric analysis.Frontiers in oncology · 2024Pooled it
- Tools for assessing quality and risk of bias in Mendelian randomization studies: a systematic review.International journal of epidemiology · 2023Pooled it
- Pooled it
- Alcohol consumption in relation to cardiovascular diseases and mortality: a systematic review of Mendelian randomization studies.European journal of epidemiology · 2022Pooled it
- Childhood body size directly increases type 1 diabetes risk based on a lifecourse Mendelian randomization approach.Nature communications · 2022Pooled it
- Are there non-linear relationships between alcohol consumption and long-term health?: a systematic review of observational studies employing approaches to improve causal inference.BMC medical research methodology · 2022Pooled it
- Does Toxoplasma gondii infection have a causal impact on human psychopathology? A Mendelian randomization analysis.PLoS pathogens · 2026Article
- Association of genetically proxied cholesteryl ester transfer protein inhibition with risk of intracranial aneurysms: a Mendelian randomization study.Neurosurgical review · 2026Article
- An AI-powered Bayesian Generative Modeling Approach for Causal Inference in Observational Studies.Journal of the American Statistical Association · 2026Article
- Multi-omics analysis of perfluorooctanoic acid and glioblastoma: insights from Mendelian randomization, network toxicology, and molecular docking.Naunyn-Schmiedeberg's archives of pharmacology · 2026Article
- Genetically predicted causal association between type 2 diabetes and heart failure: A two-sample Mendelian randomization study.Medicine · 2026Article
- Plasma lipidome mediates the causal effect of chronic hepatitis B on cirrhosis: A Mendelian randomization study.Medicine · 2026Article
- Causal Associations Between Sleep Traits and Polycystic Ovary Syndrome: A Univariable, Bidirectional, and Multivariable Mendelian Randomization Study.The journal of obstetrics and gynaecology research · 2026Article
- Exploring the Link Between Stress-Induced Naive T-Cells and Esophageal Squamous Cell Carcinoma Risk: A Multi-Omics Investigation.Annals of surgical oncology · 2026Article
- Deriving Mendelian Randomization-Based Causal Networks of Brain Imaging Phenotypes and Bipolar Disorder.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2026Article
- Public health impacts of increasing the minimum unit price for alcohol in Scotland: A model-based appraisal.PLoS medicine · 2026Article
- Mendelian Randomization Methods for Causal Inference: Estimands, Identification and Inference.Statistics in medicine · 2026Review
88 more citing papers are in PubMed but not listed here.
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4 authors.
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Abstract
We respond to criticisms of Mendelian randomization (MR) by Mukamal, Stampfer and Rimm (MSR). MSR consider that MR is receiving too much attention and should be renamed. We explain how MR links to Mendel's laws, the origin of the name and our lack of concern regarding nomenclature. We address MSR's substantive points regarding MR of alcohol and cardiovascular disease, an issue on which they dispute the MR findings. We demonstrate that their strictures with respect to population stratification, confounding, weak instrument bias, pleiotropy and confounding have been addressed, and summarise how the field has advanced in relation to the issues they raise. We agree with MSR that "the hard problem of conducting high-quality, reproducible epidemiology" should be addressed by epidemiologists. However we see more evidence of confrontation of this issue within MR, as opposed to conventional observational epidemiology, within which the same methods that have demonstrably failed in the past are simply rolled out into new areas, leaving their previous failures unexamined.
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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.