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Cohort Profile: The EPIC-NL study
Author(s) -
Joline W. J. Beulens,
E.M. Monninkhof,
W. M. Monique Verschuren,
Yvonne T. van der Schouw,
Johannes H. Smit,
Marga C. Ocké,
Eugène Jansen,
Susan van Dieren,
D. E. Grobbee,
PHM Peeters,
H. Bas Bueno-de-Mesquita
Publication year - 2009
Publication title -
international journal of epidemiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.406
H-Index - 208
eISSN - 1464-3685
pISSN - 0300-5771
DOI - 10.1093/ije/dyp217
Subject(s) - biobank , cohort , epic , epidemiology , european prospective investigation into cancer and nutrition , medicine , prospective cohort study , cohort study , etiology , public health , environmental health , family medicine , demography , gerontology , pathology , genetics , biology , art , literature , sociology
A major scientific challenge for the next few decades is to understand the interaction between genetic susceptibility and environmental factors in the aetiology of chronic diseases. The most promising approach to discover these interactions requires a combined effort of epidemiology and molecular genetics and large sample sizes for sufficient power. Already in the early 90s, the European Prospective Investigation Into Cancer and Nutrition (EPIC) was initiated in 10 European countries to create a large cohort to study the aetiology of chronic diseases. The Netherlands has contributed two cohort studies to EPIC: the Prospect cohort of 17 357 women of the Julius Center in Utrecht, and the Monitoring Project on Risk Factors for Chronic Diseases (MORGEN) cohort of 22 654 men and women of the National Institute for Public Health and the Environment (RIVM) in Bilthoven. In the design phase, both cohorts collaborated closely to obtain maximal synergy in the design of the questionnaires and to follow identical protocols in the collection of biological samples. Because of the efficiency gain in maintaining the cohort infrastructure and in conducting scientific analyses, the Julius Center and the RIVM decided to combine efforts to maintain and expand the cohorts and biobanks by merging them into one EPICNetherlands (EPIC-NL) study.

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