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Methodological approaches, challenges, and opportunities in the application of Mendelian randomisation to lifecourse epidemiology: A systematic literature review.
Power, Grace M; Sanderson, Eleanor; Pagoni, Panagiota; Fraser, Abigail; Morris, Tim; Prince, Claire; Frayling, Timothy M; Heron, Jon; Richardson, Tom G; Richmond, Rebecca; Tyrrell, Jessica; Warrington, Nicole; Davey Smith, George; Howe, Laura D; Tilling, Kate M.
Afiliación
  • Power GM; MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK. grace.power@bristol.ac.uk.
  • Sanderson E; Population Health Sciences, Bristol Medical School, University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK. grace.power@bristol.ac.uk.
  • Pagoni P; Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, Australia. grace.power@bristol.ac.uk.
  • Fraser A; MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK.
  • Morris T; Population Health Sciences, Bristol Medical School, University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK.
  • Prince C; MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK.
  • Frayling TM; Population Health Sciences, Bristol Medical School, University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK.
  • Heron J; MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK.
  • Richardson TG; Population Health Sciences, Bristol Medical School, University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK.
  • Richmond R; Centre for Longitudinal Studies, Social Research Institute, University College London, London, UK.
  • Tyrrell J; MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK.
  • Warrington N; Population Health Sciences, Bristol Medical School, University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK.
  • Davey Smith G; Genetics of Complex Traits, College of Medicine and Health, University of Exeter, Exeter, UK.
  • Howe LD; MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK.
  • Tilling KM; Population Health Sciences, Bristol Medical School, University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK.
Eur J Epidemiol ; 2023 Nov 08.
Article en En | MEDLINE | ID: mdl-37938447
ABSTRACT
Diseases diagnosed in adulthood may have antecedents throughout (including prenatal) life. Gaining a better understanding of how exposures at different stages in the lifecourse influence health outcomes is key to elucidating the potential benefits of disease prevention strategies. Mendelian randomisation (MR) is increasingly used to estimate causal effects of exposures across the lifecourse on later life outcomes. This systematic literature review explores MR methods used to perform lifecourse investigations and reviews previous work that has utilised MR to elucidate the effects of factors acting at different stages of the lifecourse. We conducted searches in PubMed, Embase, Medline and MedRXiv databases. Thirteen methodological studies were identified. Four studies focused on the impact of time-varying exposures in the interpretation of "standard" MR techniques, five presented methods for repeat measures of the same exposure, and four described methodological approaches to handling multigenerational exposures. A further 127 studies presented the results of an applied research question. Over half of these estimated effects in a single generation and were largely confined to the exploration of questions regarding body composition. The remaining mostly estimated maternal effects. There is a growing body of research focused on the development and application of MR methods to address lifecourse research questions. The underlying assumptions require careful consideration and the interpretation of results rely on select conditions. Whilst we do not advocate for a particular strategy, we encourage practitioners to make informed decisions on how to approach a research question in this field with a solid understanding of the limitations present and how these may be affected by the research question, modelling approach, instrument selection, and data availability.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Systematic_reviews Idioma: En Revista: Eur J Epidemiol Asunto de la revista: EPIDEMIOLOGIA Año: 2023 Tipo del documento: Article País de afiliación: Reino Unido

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Systematic_reviews Idioma: En Revista: Eur J Epidemiol Asunto de la revista: EPIDEMIOLOGIA Año: 2023 Tipo del documento: Article País de afiliación: Reino Unido