Evidence map›Paper›PMID 35622304›Full record

ArticleEuropean journal of epidemiology2022

Exploring and mitigating potential bias when genetic instrumental variables are associated with multiple non-exposure traits in Mendelian randomization.

Qian Yang, Eleanor Sanderson, Kate Tilling, Maria Carolina Borges, Deborah A Lawlor

Abstract read
In one paragraph

Article in European journal of epidemiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

45 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  16. Celiac Disease and Skin Diseases: A Bidirectional Mendelian Randomization Study.Clinical, cosmetic and investigational dermatology · 2025
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  19. Letter to the editor Regarding 'Causal relationship between basal metabolic rate and intervertebral disc degeneration: a Mendelian randomization study' by Liu Z, et al. (Eur Spine J. 2024 Jun 24. Doi: 10.1007/s00586-024-08367-7).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 · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Qian YangMRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK. qian.yang@bristol.ac.uk.ORCID http://orcid.org/0000-0001-8778-4132
Eleanor SandersonMRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK.ORCID http://orcid.org/0000-0001-5188-5775
Kate TillingMRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK.ORCID http://orcid.org/0000-0002-1010-8926
Maria Carolina Borges *MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK.ORCID http://orcid.org/0000-0001-7785-4547
Deborah A Lawlor *MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK.ORCID http://orcid.org/0000-0002-6793-2262

Funding

British Heart Foundation AA/18/7/34219British Heart Foundation CH/F/20/90003European Research Council 669545Medical Research Council MC_PC_17228Medical Research Council MC_PC_21038Medical Research Council MC_QA137853Medical Research Council MC_UU_00011/1Medical Research Council MC_UU_00011/2Medical Research Council MC_UU_00011/3Medical Research Council MC_UU_00011/6Medical Research Council MR/P014054/1NIH HHS R01 DK10324
6 · The paper itself

Abstract

With the increasing size and number of genome-wide association studies, individual single nucleotide polymorphisms are increasingly found to associate with multiple traits. Many different mechanisms could result in proposed genetic IVs for an exposure of interest being associated with multiple non-exposure traits, some of which could bias MR results. We describe and illustrate, through causal diagrams, a range of scenarios that could result in proposed IVs being related to non-exposure traits in MR studies. These associations could occur due to five scenarios: (i) confounding, (ii) vertical pleiotropy, (iii) horizontal pleiotropy, (iv) reverse causation and (v) selection bias. For each of these scenarios we outline steps that could be taken to explore the underlying mechanism and mitigate any resulting bias in the MR estimation. We recommend MR studies explore possible IV-non-exposure associations across a wider range of traits than is usually the case. We highlight the pros and cons of relying on sensitivity analyses without considering particular pleiotropic paths versus systematically exploring and controlling for potential pleiotropic or other biasing paths via known traits. We apply our recommendations to an illustrative example of the effect of maternal insomnia on offspring birthweight in UK Biobank.

Indexed as

Genome-Wide Association StudyMendelian Randomization AnalysisGenetic PleiotropyGenetic VariationHumansPhenotypePolymorphism, Single NucleotideCausal diagramConfoundingMendelian randomizationPleiotropySelection biasUK Biobank

Identifiers

PMID35622304
PMCPMC9329407

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Registered trials

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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.