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Education and myopia: assessing the direction of causality by mendelian randomisation
OBJECTIVES: To determine whether more years spent in education is a causal risk factor for myopia, or whether myopia is a causal risk factor for more years in education. DESIGN: Bidirectional, two sample mendelian randomisation study. SETTING: Publically available genetic data from two consortiums a...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group Ltd.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5987847/ https://www.ncbi.nlm.nih.gov/pubmed/29875094 http://dx.doi.org/10.1136/bmj.k2022 |
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author | Mountjoy, Edward Davies, Neil M Plotnikov, Denis Smith, George Davey Rodriguez, Santiago Williams, Cathy E Guggenheim, Jeremy A Atan, Denize |
author_facet | Mountjoy, Edward Davies, Neil M Plotnikov, Denis Smith, George Davey Rodriguez, Santiago Williams, Cathy E Guggenheim, Jeremy A Atan, Denize |
author_sort | Mountjoy, Edward |
collection | PubMed |
description | OBJECTIVES: To determine whether more years spent in education is a causal risk factor for myopia, or whether myopia is a causal risk factor for more years in education. DESIGN: Bidirectional, two sample mendelian randomisation study. SETTING: Publically available genetic data from two consortiums applied to a large, independent population cohort. Genetic variants used as proxies for myopia and years of education were derived from two large genome wide association studies: 23andMe and Social Science Genetic Association Consortium (SSGAC), respectively. PARTICIPANTS: 67 798 men and women from England, Scotland, and Wales in the UK Biobank cohort with available information for years of completed education and refractive error. MAIN OUTCOME MEASURES: Mendelian randomisation analyses were performed in two directions: the first exposure was the genetic predisposition to myopia, measured with 44 genetic variants strongly associated with myopia in 23andMe, and the outcome was years in education; and the second exposure was the genetic predisposition to higher levels of education, measured with 69 genetic variants from SSGAC, and the outcome was refractive error. RESULTS: Conventional regression analyses of the observational data suggested that every additional year of education was associated with a more myopic refractive error of −0.18 dioptres/y (95% confidence interval −0.19 to −0.17; P<2e-16). Mendelian randomisation analyses suggested the true causal effect was even stronger: −0.27 dioptres/y (−0.37 to −0.17; P=4e-8). By contrast, there was little evidence to suggest myopia affected education (years in education per dioptre of refractive error −0.008 y/dioptre, 95% confidence interval −0.041 to 0.025, P=0.6). Thus, the cumulative effect of more years in education on refractive error means that a university graduate from the United Kingdom with 17 years of education would, on average, be at least −1 dioptre more myopic than someone who left school at age 16 (with 12 years of education). Myopia of this magnitude would be sufficient to necessitate the use of glasses for driving. Sensitivity analyses showed minimal evidence for genetic confounding that could have biased the causal effect estimates. CONCLUSIONS: This study shows that exposure to more years in education contributes to the rising prevalence of myopia. Increasing the length of time spent in education may inadvertently increase the prevalence of myopia and potential future visual disability. |
format | Online Article Text |
id | pubmed-5987847 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BMJ Publishing Group Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-59878472018-06-06 Education and myopia: assessing the direction of causality by mendelian randomisation Mountjoy, Edward Davies, Neil M Plotnikov, Denis Smith, George Davey Rodriguez, Santiago Williams, Cathy E Guggenheim, Jeremy A Atan, Denize BMJ Research OBJECTIVES: To determine whether more years spent in education is a causal risk factor for myopia, or whether myopia is a causal risk factor for more years in education. DESIGN: Bidirectional, two sample mendelian randomisation study. SETTING: Publically available genetic data from two consortiums applied to a large, independent population cohort. Genetic variants used as proxies for myopia and years of education were derived from two large genome wide association studies: 23andMe and Social Science Genetic Association Consortium (SSGAC), respectively. PARTICIPANTS: 67 798 men and women from England, Scotland, and Wales in the UK Biobank cohort with available information for years of completed education and refractive error. MAIN OUTCOME MEASURES: Mendelian randomisation analyses were performed in two directions: the first exposure was the genetic predisposition to myopia, measured with 44 genetic variants strongly associated with myopia in 23andMe, and the outcome was years in education; and the second exposure was the genetic predisposition to higher levels of education, measured with 69 genetic variants from SSGAC, and the outcome was refractive error. RESULTS: Conventional regression analyses of the observational data suggested that every additional year of education was associated with a more myopic refractive error of −0.18 dioptres/y (95% confidence interval −0.19 to −0.17; P<2e-16). Mendelian randomisation analyses suggested the true causal effect was even stronger: −0.27 dioptres/y (−0.37 to −0.17; P=4e-8). By contrast, there was little evidence to suggest myopia affected education (years in education per dioptre of refractive error −0.008 y/dioptre, 95% confidence interval −0.041 to 0.025, P=0.6). Thus, the cumulative effect of more years in education on refractive error means that a university graduate from the United Kingdom with 17 years of education would, on average, be at least −1 dioptre more myopic than someone who left school at age 16 (with 12 years of education). Myopia of this magnitude would be sufficient to necessitate the use of glasses for driving. Sensitivity analyses showed minimal evidence for genetic confounding that could have biased the causal effect estimates. CONCLUSIONS: This study shows that exposure to more years in education contributes to the rising prevalence of myopia. Increasing the length of time spent in education may inadvertently increase the prevalence of myopia and potential future visual disability. BMJ Publishing Group Ltd. 2018-06-06 /pmc/articles/PMC5987847/ /pubmed/29875094 http://dx.doi.org/10.1136/bmj.k2022 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions This is an Open Access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY 4.0) license, which permits others to distribute, remix, adapt and build upon this work, for commercial use, provided the original work is properly cited. See: http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Research Mountjoy, Edward Davies, Neil M Plotnikov, Denis Smith, George Davey Rodriguez, Santiago Williams, Cathy E Guggenheim, Jeremy A Atan, Denize Education and myopia: assessing the direction of causality by mendelian randomisation |
title | Education and myopia: assessing the direction of causality by mendelian randomisation |
title_full | Education and myopia: assessing the direction of causality by mendelian randomisation |
title_fullStr | Education and myopia: assessing the direction of causality by mendelian randomisation |
title_full_unstemmed | Education and myopia: assessing the direction of causality by mendelian randomisation |
title_short | Education and myopia: assessing the direction of causality by mendelian randomisation |
title_sort | education and myopia: assessing the direction of causality by mendelian randomisation |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5987847/ https://www.ncbi.nlm.nih.gov/pubmed/29875094 http://dx.doi.org/10.1136/bmj.k2022 |
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