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

Research output: Contribution to journalArticlepeer-review

3 Citations (SciVal)

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.

Original languageEnglish
Article numbere22583
JournalGenetic Epidemiology
Volume49
Issue number1
Early online date4 Aug 2024
DOIs
Publication statusPublished - Feb 2025

Bibliographical note

Publisher Copyright:
© 2024 The Author(s). Genetic Epidemiology published by Wiley Periodicals LLC.

Funding

This research has been conducted using data from UK Biobank (project ID: 16729), a major biomedical database ( http://www.ukbiobank.ac.uk/ ). We are extremely grateful to all the families who took part in the ALSPAC study, the midwives for their help in recruiting them and the whole ALSPAC team, which includes interviewers, computer and laboratory technicians, clerical workers, research scientists, volunteers, managers, receptionists and nurses. We thank all the contributors to the consortia we have used GWAS results from in our analyses. We would like to thank the research participants and employees of 23andMe Inc. for making this work possible. This work was supported by the UK Medical Research Council Integrative Epidemiology Unit at the University of Bristol (Grant ref: MC_UU_00011/1, MC_UU_00011/7). The UK Medical Research Council and Wellcome (Grant ref: 217065/Z/19/Z) and the University of Bristol provide core support for ALSPAC. This publication is the work of the authors and Z. E. R. and M. R. M. will serve as guarantors for the contents of this paper. A comprehensive list of grants funding is available on the ALSPAC website ( http://www.bristol.ac.uk/alspac/external/documents/grant-acknowledgements.pdf ); this research was specifically funded by the British Heart Foundation for mother's clinic data (Grant ref: SP/07/008/24066), the Wellcome Trust and MRC for father's clinic data (Grant ref: 092731), Wellcome Trust for mother's genetic data (Grant ref: WT088806) and the Wellcome Trust and MRC for father's genetic data (Grant ref: 102215/2/13/2). GWAS data was generated by Sample Logistics and Genotyping Facilities at Wellcome Sanger Institute and LabCorp (Laboratory Corporation of America) using support from 23andMe. This work was also supported by the National Institute for Health Research Bristol Biomedical Research Centre (M. R. M). This work was also supported by Cancer Research UK (Grant ref: C18281/A29019). This research has been conducted using data from UK Biobank (project ID: 16729), a major biomedical database (http://www.ukbiobank.ac.uk/). We are extremely grateful to all the families who took part in the ALSPAC study, the midwives for their help in recruiting them\u00A0and the whole ALSPAC team, which includes interviewers, computer and laboratory technicians, clerical workers, research scientists, volunteers, managers, receptionists and nurses. We thank all the contributors to the consortia we have used GWAS results from in our analyses. We would like to thank the research participants and employees of 23andMe\u00A0Inc. for making this work possible.\u00A0This work was supported by the UK Medical Research Council Integrative Epidemiology Unit at the University of Bristol (Grant ref: MC_UU_00011/1, MC_UU_00011/7). The UK Medical Research Council and Wellcome (Grant ref: 217065/Z/19/Z) and the University of Bristol provide core support for ALSPAC. This publication is the work of the authors and Z. E. R. and M. R. M. will serve as guarantors for the contents of this paper. A comprehensive list of grants funding is available on the ALSPAC website (http://www.bristol.ac.uk/alspac/external/documents/grant-acknowledgements.pdf); this research was specifically funded by the British Heart Foundation for mother's clinic data (Grant ref: SP/07/008/24066), the Wellcome Trust and MRC for father's clinic data (Grant ref: 092731), Wellcome Trust for mother's genetic data (Grant ref: WT088806) and the Wellcome Trust and MRC for father's genetic data (Grant ref: 102215/2/13/2). GWAS data was generated by Sample Logistics and Genotyping Facilities at Wellcome Sanger Institute and LabCorp (Laboratory Corporation of America) using support from 23andMe. This work was also supported by the National Institute for Health Research Bristol Biomedical Research Centre (M. R. M). This work was also supported by Cancer Research UK (Grant ref: C18281/A29019).

FundersFunder number
NIHR Bristol Biomedical Research Centre
Wellcome Sanger Institute
University of BristolMC_UU_00011/1, MC_UU_00011/7
Wellcome Trust217065/Z/19/Z
Cancer Research UKC18281/A29019
British Heart FoundationSP/07/008/24066
Medical Research CouncilWT088806, 102215/2/13/2, 092731

Keywords

  • ALSPAC
  • genetic risk scores
  • Mendelian randomisation
  • pleiotropy
  • smoking
  • UK Biobank

ASJC Scopus subject areas

  • Epidemiology
  • Genetics(clinical)

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