Evidence map›Paper›PMID 39099143›Full record

ArticleGenetic epidemiology2025

Exploring pleiotropy in Mendelian randomisation analyses: What are genetic variants associated with 'cigarette smoking initiation' really capturing?

Zoe E Reed, Robyn E Wootton, Jasmine N Khouja, Tom G Richardson, Eleanor Sanderson, George Davey Smith, Marcus R Munafò

Abstract read
In one paragraph

Article in Genetic epidemiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 4 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

13 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. 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 · 2026
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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

7 authors.

Zoe E ReedSchool of Psychological Science, University of Bristol, Bristol, UK.ORCID http://orcid.org/0000-0002-2990-6979
Robyn E WoottonSchool of Psychological Science, University of Bristol, Bristol, UK.ORCID http://orcid.org/0000-0003-3961-3202
Jasmine N KhoujaSchool of Psychological Science, University of Bristol, Bristol, UK.ORCID http://orcid.org/0000-0002-7944-2981
Tom G RichardsonMRC Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, Bristol, UK.ORCID http://orcid.org/0000-0002-7918-2040
Eleanor SandersonMRC Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, Bristol, UK.ORCID http://orcid.org/0000-0001-5188-5775
George Davey SmithMRC Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, Bristol, UK.ORCID http://orcid.org/0000-0002-1407-8314
Marcus R MunafòSchool of Psychological Science, University of Bristol, Bristol, UK.ORCID http://orcid.org/0000-0002-4049-993X

Funding

British Heart Foundation SP/07/008/24066British Heart Foundation for mother's clinic data SP/07/008/24066Cancer Research UK C18281/A29019Medical Research Council G9815508Medical Research Council MC_PC_15018Medical Research Council MC_PC_19009Medical Research Council MC_UU_00011/1Medical Research Council MC_UU_00011/7Medical Research Council MC_UU_00032/1NIHR Bristol BRCUK Medical Research Council and Wellcome 217065/Z/19/ZUK Medical Research Council Integrative Epidemiology Unit at the University of Bristol MC_UU_00011/1UK Medical Research Council Integrative Epidemiology Unit at the University of Bristol MC_UU_00011/7Wellcome TrustWellcome Trust 092731Wellcome Trust and MRC for father's genetic data 102215/2/13/2Wellcome Trust for mother's genetic data WT088806
6 · The paper itself

Abstract

Genetic variants used as instruments for exposures in Mendelian randomisation (MR) analyses may have horizontal pleiotropic effects (i.e., influence outcomes via pathways other than through the exposure), which can undermine the validity of results. We examined the extent of this using smoking behaviours as an example. We first ran a phenome-wide association study in UK Biobank, using a smoking initiation genetic instrument. From the most strongly associated phenotypes, we selected those we considered could either plausibly or not plausibly be caused by smoking. We examined associations between genetic instruments for smoking initiation, smoking heaviness and lifetime smoking and these phenotypes in UK Biobank and the Avon Longitudinal Study of Parents and Children (ALSPAC). We conducted negative control analyses among never smokers, including children. We found evidence that smoking-related genetic instruments were associated with phenotypes not plausibly caused by smoking in UK Biobank and (to a lesser extent) ALSPAC. We observed associations with phenotypes among never smokers. Our results demonstrate that smoking-related genetic risk scores are associated with unexpected phenotypes that are less plausibly downstream of smoking. This may reflect horizontal pleiotropy in these genetic risk scores, and we would encourage researchers to exercise caution this when using these and genetic risk scores for other complex behavioural exposures. We outline approaches that could be taken to consider this and overcome issues caused by potential horizontal pleiotropy, for example, in genetically informed causal inference analyses (e.g., MR) it is important to consider negative control outcomes and triangulation approaches, to avoid arriving at incorrect conclusions.

Indexed as

Cigarette SmokingGenetic PleiotropyMendelian Randomization AnalysisPhenotypeAdultFemaleGenetic Predisposition to DiseaseGenetic VariationGenome-Wide Association StudyHumansLongitudinal StudiesMaleMiddle AgedPolymorphism, Single NucleotideSmokingUnited KingdomALSPACgenetic risk scoresMendelian randomisationpleiotropysmokingUK Biobank

Identifiers

PMID39099143
PMCPMC7616876

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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.