| Title |
Education influences the role of genetics in myopia
|
|---|---|
| Published in |
European Journal of Epidemiology, October 2013
|
| DOI | 10.1007/s10654-013-9856-1 |
| Pubmed ID | |
| Authors |
Virginie J. M. Verhoeven, Gabriëlle H. S. Buitendijk, Consortium for Refractive Error and Myopia (CREAM), Fernando Rivadeneira, André G. Uitterlinden, Johannes R. Vingerling, Albert Hofman, Caroline C. W. Klaver |
| Abstract |
Myopia is a complex inherited ocular trait resulting from an interplay of genes and environmental factors, most of which are currently unknown. In two independent population-based cohorts consisting of 5,256 and 3,938 individuals from European descent, we tested for biological interaction between genetic predisposition and level of education on the risk of myopia. A genetic risk score was calculated based on 26 myopia-associated single nucleotide polymorphisms recently discovered by the Consortium for Refractive Error and Myopia. Educational level was obtained by questionnaire and categorized into primary, intermediate, and higher education. Refractive error was measured during a standardized ophthalmological examination. Biological interaction was assessed by calculation of the synergy index. Individuals at high genetic risk in combination with university-level education had a remarkably high risk of myopia (OR 51.3; 95 % CI 18.5-142.6), while those at high genetic risk with only primary schooling were at a much lower increased risk of myopia (OR 7.2, 95 % CI 3.1-17.0). The combined effect of genetic predisposition and education on the risk of myopia was far higher than the sum of these two effects (synergy index 4.2, 95 % CI 1.9-9.5). This epidemiological study provides evidence of a gene-environment interaction in which an individual's genetic risk of myopia is significantly affected by his or her educational level. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | <1% |
| Australia | 1 | <1% |
| Unknown | 103 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 16 | 15% |
| Researcher | 15 | 14% |
| Student > Ph. D. Student | 13 | 12% |
| Student > Bachelor | 11 | 10% |
| Student > Doctoral Student | 5 | 5% |
| Other | 23 | 22% |
| Unknown | 22 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 43 | 41% |
| Nursing and Health Professions | 12 | 11% |
| Agricultural and Biological Sciences | 3 | 3% |
| Biochemistry, Genetics and Molecular Biology | 3 | 3% |
| Sports and Recreations | 2 | 2% |
| Other | 10 | 10% |
| Unknown | 32 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 20. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 July 2023.
All research outputs
#1,716,989
of 24,046,191 outputs
Outputs from European Journal of Epidemiology
#249
of 1,741 outputs
Outputs of similar age
#16,183
of 216,286 outputs
Outputs of similar age from European Journal of Epidemiology
#2
of 15 outputs
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