ArticleEpidemiology (Cambridge, Mass.)2020
Application of the Instrumental Inequalities to a Mendelian Randomization Study With Multiple Proposed Instruments.
Article in Epidemiology (Cambridge, Mass.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.
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Who cites it
10 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Methodological approaches, challenges, and opportunities in the application of Mendelian randomisation to lifecourse epidemiology: A systematic literature review.European journal of epidemiology · 2024Pooled it
- Mendelian randomisation approaches to the study of prenatal exposures: A systematic review.Paediatric and perinatal epidemiology · 2021Pooled it
- Use of the instrumental inequalities in simulated mendelian randomization analyses with coarsened exposures.European journal of epidemiology · 2024Article
- Falsification of the instrumental variable conditions in Mendelian randomization studies in the UK Biobank.European journal of epidemiology · 2023Article
- Reappraising the role of instrumental inequalities for mendelian randomization studies in the mega Biobank era.European journal of epidemiology · 2023Article
- Bounding the average causal effect in Mendelian randomisation studies with multiple proposed instruments: An application to prenatal alcohol exposure and attention deficit hyperactivity disorder.Paediatric and perinatal epidemiology · 2023Article
- Exploring and mitigating potential bias when genetic instrumental variables are associated with multiple non-exposure traits in Mendelian randomization.European journal of epidemiology · 2022Article
- Nonparametric bounds in two-sample summary-data Mendelian randomization: Some cautionary tales for practice.Statistics in medicine · 2022Article
- Mendelian randomization.Nature reviews. Methods primers · 2022Article
- Diemer and Swanson Reply to "Considerations Before Using Pandemic as Instrument".American journal of epidemiology · 2021Article
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4 authors.
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Abstract
backgroundInvestigators often support the validity of Mendelian randomization (MR) studies, an instrumental variable approach proposing genetic variants as instruments, via. subject matter knowledge. However, the instrumental variable model implies certain inequalities, offering an empirical method of falsifying (but not verifying) the underlying assumptions. Although these inequalities are said to detect only extreme assumption violations in practice, to our knowledge they have not been used in settings with multiple proposed instruments.
methodsWe applied the instrumental inequalities to an MR analysis of the effect of maternal pregnancy vitamin D on offspring psychiatric outcomes, proposing four independent maternal genetic variants as instruments. We assessed whether the proposed instruments satisfied the instrumental inequalities separately and jointly and explored the instrumental inequalities' properties via simulations.
resultsThe instrumental inequalities were satisfied (i.e., we did not falsify the MR model) when considering each variant separately. However, the inequalities were violated when considering four variants jointly and for some combinations of two or three variants (two of 36 two-variant combinations and 18 of 24 three-variant combinations). In simulations, the inequalities detected structural biases more often when assessing proposed instruments jointly, although falsification in the absence of structural bias remained rare.
conclusionsThe instrumental inequalities detected violations of the MR assumptions for genetic variants jointly proposed as instruments in our study, although the instrumental inequalities were satisfied when considering each proposed instrument separately. We discuss how investigators can assess instrumental inequalities to eliminate clearly invalid analyses in settings with many proposed instruments and provide appropriate code.
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