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Ophthalmic epidemiology in Europe: the "European Eye Epidemiology" (E3) consortium.

Delcourt, Cécile
Korobelnik, Jean-François
Buitendijk, Gabriëlle H.S.
Foster, Paul J.
Hammond, Christophe J.
Piermarocchi, Stefano
Peto, Tunde
Jansonius, Nomdo
Mirshahi, Alireza
Hogg, Ruth E.
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Abstract

The European Eye Epidemiology (E3) consortium is a recently formed consortium of 29 groups from 12 European countries. It already comprises 21 population-based studies and 20 other studies (case-control, cases only, randomized trials), providing ophthalmological data on approximately 170,000 European participants. The aim of the consortium is to promote and sustain collaboration and sharing of data and knowledge in the field of ophthalmic epidemiology in Europe, with particular focus on the harmonization of methods for future research, estimation and projection of frequency and impact of visual outcomes in European populations (including temporal trends and European subregions), identification of risk factors and pathways for eye diseases (lifestyle, vascular and metabolic factors, genetics, epigenetics and biomarkers) and development and validation of prediction models for eye diseases. Coordinating these existing data will allow a detailed study of the risk factors and consequences of eye diseases and visual impairment, including study of international geographical variation which is not possible in individual studies. It is expected that collaborative work on these existing data will provide additional knowledge, despite the fact that the risk factors and the methods for collecting them differ somewhat among the participating studies. Most studies also include biobanks of various biological samples, which will enable identification of biomarkers to detect and predict occurrence and progression of eye diseases. This article outlines the rationale of the consortium, its design and presents a summary of the methodology.

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2016-02-01
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Peer reviewed scientific article
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Epidemiologic Methods, Epidemiologic Studies, Europe, Eye Diseases, Female, Forecasting, Humans, Ophthalmology, prevalence, Risk Factors, White People
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