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Using allele scores to identify confounding by reverse causation: studies of alcohol consumption as an exemplar
BACKGROUND: Mendelian randomization (MR) is a form of instrumental variable analysis used to investigate causality using observational data. Another important, although less frequently applied, use of this technique is to investigate confounding due to reverse causality. METHODS: We used a form of r...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10114122/ https://www.ncbi.nlm.nih.gov/pubmed/35980022 http://dx.doi.org/10.1093/ije/dyac165 |
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author | Sallis, Hannah M Palmer, Tom Tilling, Kate Davey Smith, George Munafò, Marcus R |
author_facet | Sallis, Hannah M Palmer, Tom Tilling, Kate Davey Smith, George Munafò, Marcus R |
author_sort | Sallis, Hannah M |
collection | PubMed |
description | BACKGROUND: Mendelian randomization (MR) is a form of instrumental variable analysis used to investigate causality using observational data. Another important, although less frequently applied, use of this technique is to investigate confounding due to reverse causality. METHODS: We used a form of reverse MR and data from UK Biobank in a proof-of-principle study to investigate confounding due to reverse causation. Here we focus on the association between alcohol consumption (exposure) and outcomes including educational attainment, and physical and mental health. First, we examined the observational relationship between alcohol consumption and these outcomes. Allele scores were then derived for educational attainment, and physical and mental health, and the association with alcohol consumption (as the outcome) was explored. Sample sizes ranged from 114 941–336 473 in observational analyses and 142 093–336 818 in genetic analyses. RESULTS: Conventional observational analyses indicated associations between alcohol consumption and a number of outcomes (e.g. neuroticism, body mass index, educational attainment). Analyses using allele scores suggested evidence of reverse causation for several of these relationships (in particular physical health and educational attainment). CONCLUSION: Allele scores allow us to investigate reverse causation in observational studies. Our findings suggest that observed associations implying beneficial effects of alcohol consumption may be due to confounding by reverse causation in many cases. |
format | Online Article Text |
id | pubmed-10114122 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-101141222023-04-20 Using allele scores to identify confounding by reverse causation: studies of alcohol consumption as an exemplar Sallis, Hannah M Palmer, Tom Tilling, Kate Davey Smith, George Munafò, Marcus R Int J Epidemiol Methods BACKGROUND: Mendelian randomization (MR) is a form of instrumental variable analysis used to investigate causality using observational data. Another important, although less frequently applied, use of this technique is to investigate confounding due to reverse causality. METHODS: We used a form of reverse MR and data from UK Biobank in a proof-of-principle study to investigate confounding due to reverse causation. Here we focus on the association between alcohol consumption (exposure) and outcomes including educational attainment, and physical and mental health. First, we examined the observational relationship between alcohol consumption and these outcomes. Allele scores were then derived for educational attainment, and physical and mental health, and the association with alcohol consumption (as the outcome) was explored. Sample sizes ranged from 114 941–336 473 in observational analyses and 142 093–336 818 in genetic analyses. RESULTS: Conventional observational analyses indicated associations between alcohol consumption and a number of outcomes (e.g. neuroticism, body mass index, educational attainment). Analyses using allele scores suggested evidence of reverse causation for several of these relationships (in particular physical health and educational attainment). CONCLUSION: Allele scores allow us to investigate reverse causation in observational studies. Our findings suggest that observed associations implying beneficial effects of alcohol consumption may be due to confounding by reverse causation in many cases. Oxford University Press 2022-08-18 /pmc/articles/PMC10114122/ /pubmed/35980022 http://dx.doi.org/10.1093/ije/dyac165 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of the International Epidemiological Association. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Methods Sallis, Hannah M Palmer, Tom Tilling, Kate Davey Smith, George Munafò, Marcus R Using allele scores to identify confounding by reverse causation: studies of alcohol consumption as an exemplar |
title | Using allele scores to identify confounding by reverse causation: studies of alcohol consumption as an exemplar |
title_full | Using allele scores to identify confounding by reverse causation: studies of alcohol consumption as an exemplar |
title_fullStr | Using allele scores to identify confounding by reverse causation: studies of alcohol consumption as an exemplar |
title_full_unstemmed | Using allele scores to identify confounding by reverse causation: studies of alcohol consumption as an exemplar |
title_short | Using allele scores to identify confounding by reverse causation: studies of alcohol consumption as an exemplar |
title_sort | using allele scores to identify confounding by reverse causation: studies of alcohol consumption as an exemplar |
topic | Methods |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10114122/ https://www.ncbi.nlm.nih.gov/pubmed/35980022 http://dx.doi.org/10.1093/ije/dyac165 |
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