ArticleEpidemiology (Cambridge, Mass.)2019
Survival Bias in Mendelian Randomization Studies: A Threat to Causal Inference.
Article in Epidemiology (Cambridge, Mass.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 2 of them syntheses that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
48 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Evidence for Causal Links Between Known Modifiable Risk Factors and Dementia: A Systematic Review of Mendelian Randomisation Studies.European journal of neurology · 2025Pooled it
- Impact of glucose on risk of dementia: Mendelian randomisation studies in 115,875 individuals.Diabetologia · 2020Pooled it
- The combined association between sleep duration and insomnia symptoms with dementia and cognitive deficits: a multivariable-adjusted and genetic liability study.GeroScience · 2026Article
- Clinical management and outcomes for 51 Pugs reportedly diagnosed with protein-losing enteropathy using VetCompass primary care veterinary data.The Journal of small animal practice · 2026Article
- Insomnia, sleep duration and incident Parkinson's disease in the Finnish population cohort.Brain communications · 2026Article
- A sex-specific Mendelian randomization-phenome-wide association study of body mass index.eLife · 2025Article
- Exploration of the clinicopathological and prognostic significance of BRCA1 in gastric cancer.Discover oncology · 2025Article
- Impact of Conventional Stroke Risk Factors on Early- and Late-Onset Ischemic Stroke: A Mendelian Randomization Study.Stroke · 2025Article
- Dairy intake and cognitive function in older adults in three cohorts: a mendelian randomization study.Nutrition journal · 2025Article
- Mendelian Randomization Studies: Opening a New Window in the Study of Metabolic Diseases and Chronic Kidney Disease.Endocrine, metabolic & immune disorders drug targets · 2025Review
- Association Between Neuroinflammation and Parkinson's Disease: A Comprehensive Mendelian Randomization Study.Molecular neurobiology · 2024Article
- Association of Body Mass Index and Parkinson Disease: A Bidirectional Mendelian Randomization Study.Neurology · 2024Article
- Genetic Complexities of Cerebral Small Vessel Disease, Blood Pressure, and Dementia.JAMA network open · 2024Article
- Association of educational attainment with hypertension and type-2 diabetes: A Mendelian randomization study.SSM - population health · 2024Article
- A data-adaptive method for investigating effect heterogeneity with high-dimensional covariates in Mendelian randomization.BMC medical research methodology · 2024Article
- Artificial intelligence for dementia genetics and omics.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2023Review
- A bidirectional Mendelian randomisation study to evaluate the relationship between body constitution and hearing loss.Scientific reports · 2023Article
- Integrating plasma proteomes with genome-wide association data for causal protein identification in multiple myeloma.BMC medicine · 2023Article
- Leveraging family history data to disentangle time-varying effects on disease risk using lifecourse mendelian randomization.European journal of epidemiology · 2023Article
- Causal factors in primary open angle glaucoma: a phenome-wide Mendelian randomisation study.Scientific reports · 2023Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
It has been argued that survival bias may distort results in Mendelian randomization studies in older populations. Through simulations of a simple causal structure we investigate the degree to which instrumental variable (IV)-estimators may become biased in the context of exposures that affect survival. We observed that selecting on survival decreased instrument strength and, for exposures with directionally concordant effects on survival (and outcome), introduced downward bias of the IV-estimator when the exposures reduced the probability of survival till study inclusion. Higher ages at study inclusion generally increased this bias, particularly when the true causal effect was not equal to null. Moreover, the bias in the estimated exposure-outcome relation depended on whether the estimation was conducted in the one- or two-sample setting. Finally, we briefly discuss which statistical approaches might help to alleviate this and other types of selection bias. See video abstract at, http://links.lww.com/EDE/B589.
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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.