Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 490776
Title Cohort profile: Lifelines DEEP, a prospective, general population cohort study in the northern Netherlands: study design and baseline characteristics
Author(s) Tigchelaar, E.F.; Zhernakova, A.; Dekens, J.A.M.; Hermes, G.D.A.; Baranska, A.; Mujagic, Z.; Swertz, M.A.; Munoz, A.M.; Deelen, P.; Cenit, M.C.; Franke, L.; Scholtens, S.; Stolk, R.P.; Wijmenga, C.; Feskens, E.J.M.
Source BMJ Open 5 (2015). - ISSN 2044-6055 - 9 p.
DOI https://doi.org/10.1136/bmjopen-2014-006772
Department(s) Microbiological Laboratory
Plant Production Systems
Chair Nutrition and Disease
VLAG
Publication type Refereed Article in a scientific journal
Publication year 2015
Abstract Purpose There is a critical need for population-based prospective cohort studies because they follow individuals before the onset of disease, allowing for studies that can identify biomarkers and disease-modifying effects, and thereby contributing to systems epidemiology. Participants This paper describes the design and baseline characteristics of an intensively examined subpopulation of the LifeLines cohort in the Netherlands. In this unique subcohort, LifeLines DEEP, we included 1539 participants aged 18 years and older. Findings to date We collected additional blood (n=1387), exhaled air (n=1425) and faecal samples (n=1248), and elicited responses to gastrointestinal health questionnaires (n=1176) for analysis of the genome, epigenome, transcriptome, microbiome, metabolome and other biological levels. Here, we provide an overview of the different data layers in LifeLines DEEP and present baseline characteristics of the study population including food intake and quality of life. We also describe how the LifeLines DEEP cohort allows for the detailed investigation of genetic, genomic and metabolic variation for a wide range of phenotypic outcomes. Finally, we examine the determinants of gastrointestinal health, an area of particular interest to us that can be addressed by LifeLines DEEP. Future plans We have established a cohort of which multiple data levels allow for the integrative analysis of populations for translation of this information into biomarkers for disease, and which will offer new insights into disease mechanisms and prevention.
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