Multivariable two-sample Mendelian randomization estimates of the effects of intelligence and education on health
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Intelligence and education are predictive of better physical and mental health, socioeconomic position (SEP), and longevity. However, these associations are insufficient to prove that intelligence and/or education cause these outcomes. Intelligence and education are phenotypically and genetically correlated, which makes it difficult to elucidate causal relationships. We used univariate and multivariable Mendelian randomization to estimate the total and direct effects of intelligence and educational attainment on mental and physical health, measures of socioeconomic position, and longevity. Both intelligence and education had beneficial total effects. Higher intelligence had positive direct effects on income and alcohol consumption, and negative direct effects on moderate and vigorous physical activity. Higher educational attainment had positive direct effects on income, alcohol consumption, and vigorous physical activity, and negative direct effects on smoking, BMI and sedentary behaviour. If the Mendelian randomization assumptions hold, these findings suggest that both intelligence and education affect health.
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Triangulation of evidence from multiple methodologies subject to different sources and directions of bias can help identify bias in MR studies, and alignment of results across methodologies can improve confidence in an initial causal interpretation.
“Triangulation of evidence from multiple methodologies — using different methodologies that are subject to different sources and directions of potential bias — can help to identify bias in MR studies.6,7,155 Alignment of results across these different methodologies can improve confidence in an initial causal interpretation.”
From Mendelian randomization (2022) · cites this paper as [155]
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Educational Attainment and Ischemic Stroke: A Mendelian Randomization Study
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Two sample Mendelian Randomisation using an outcome from a multilevel model of disease progression
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- Authors
- Davies, N. M., Hill, W. D., Anderson, E. L., Sanderson, E., Deary, I. J., & Davey Smith, G.
- Affiliations
- University of Bristol (GB)
- University of Edinburgh (GB)
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
- Corresponding author
- Davies, Neil Martin
- ORCID
- Venue
- eLife
- Publisher
- eLife Sciences Publications, Ltd
- Published
- 2019-09-17
- Volume
- 8
- ISSN
- 2050-084X (ISSN-L)
- PMC
- PMC6748790
- OpenAlex
- W2974720922
- Cited by
- 135
- References
- 66
- Citations by year
- 2026: 6 · 2025: 19 · 2024: 26 · 2023: 33 · 2022: 18 · 2021: 17 · 2020: 12 · 2019: 4
- FWCI
- 7.68
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- eLife (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Edinburgh Research Explorer (University of Edinburgh) (submittedVersion, cc-by)
- Bristol Research (University of Bristol) (submittedVersion, cc-by)
- Funders
- Economic and Social Research Council (ES/N000757/1)
- Medical Research Council (MC_UU_12013/1, MC_UU_12013/9, MC_UU_00011/1, MR/K026992/1)
- Age UK (Disconnected Mind Grant)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Abilities and Testing
- Social Sciences › Sociology and Political Science › Intergenerational and Educational Inequality Studies
- Keywords
- intelligence, educational attainment, mental health, physical health, socioeconomic position, longevity, income, alcohol consumption, physical activity, smoking, body mass index, sedentary behavior, genetic correlation
- MeSH terms
- Adult, Aged, Education, Female, United Kingdom, Health, Humans, Intelligence, Health Knowledge, Attitudes, Practice, Male, Middle Aged, Biostatistics
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