Literature DB >> 26497973

Assessing the Genetic Predisposition of Education on Myopia: A Mendelian Randomization Study.

Gabriel Cuellar-Partida1, Yi Lu1, Pik Fang Kho2, Alex W Hewitt3, H-Erich Wichmann4,5, Seyhan Yazar6, Dwight Stambolian7, Joan E Bailey-Wilson8, Robert Wojciechowski9, Jie Jin Wang10, Paul Mitchell10, David A Mackey6, Stuart MacGregor1.   

Abstract

Myopia is the largest cause of uncorrected visual impairments globally and its recent dramatic increase in the population has made it a major public health problem. In observational studies, educational attainment has been consistently reported to be correlated to myopia. Nonetheless, correlation does not imply causation. Observational studies do not tell us if education causes myopia or if instead there are confounding factors underlying the association. In this work, we use a two-step least squares instrumental-variable (IV) approach to estimate the causal effect of education on refractive error, specifically myopia. We used the results from the educational attainment GWAS from the Social Science Genetic Association Consortium to define a polygenic risk score (PGRS) in three cohorts of late middle age and elderly Caucasian individuals (N = 5,649). In a meta-analysis of the three cohorts, using the PGRS as an IV, we estimated that each z-score increase in education (approximately 2 years of education) results in a reduction of 0.92 ± 0.29 diopters (P = 1.04 × 10(-3) ). Our estimate of the effect of education on myopia was higher (P = 0.01) than the observed estimate (0.25 ± 0.03 diopters reduction per education z-score [∼2 years] increase). This suggests that observational studies may actually underestimate the true effect. Our Mendelian Randomization (MR) analysis provides new evidence for a causal role of educational attainment on refractive error.
© 2015 WILEY PERIODICALS, INC.

Entities:  

Keywords:  Mendelian randomization; education; instrumental variable; myopia; polygenic risk scores; refractive error

Mesh:

Year:  2015        PMID: 26497973      PMCID: PMC4915592          DOI: 10.1002/gepi.21936

Source DB:  PubMed          Journal:  Genet Epidemiol        ISSN: 0741-0395            Impact factor:   2.135


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