Cohort profile: LifeLines DEEP, a prospective, general population cohort study in the northern Netherlands: study design and baseline characteristics
Cohort profile: LifeLines DEEP, a prospective, general population cohort study in the northern Netherlands: study design and baseline characteristics
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DOI：
10.1136/bmjopen-2014-006772
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发表时间：
2015-01-01
期刊：
影响因子：
2.9
通讯作者：
Feskens, Edith J. M.
中科院分区：
文献类型：
--
作者：
Tigchelaar, Ettje F.;Zhernakova, Alexandra;Feskens, Edith J. M.
目的：迫切需要基于人群的前瞻性队列研究，因为它们在发病前跟踪个体，允许研究能够识别生物标志物和疾病修饰效应，从而有助于系统流行病学。参与者：本文描述了荷兰生命线队列中密集检查亚人群的设计和基线特征。在这个独特的亚队列中，我们纳入了1539名年龄在18岁及以上的参与者。迄今为止的发现：我们收集了额外的血液（n= 1387），呼出的空气（n= 1425）和粪便样本（n= 1248），并对胃肠道健康问卷（n= 1176）进行了回应，以分析基因组，表观基因组，转录组，微生物组，代谢组和其他生物学水平。在这里，我们概述了lifelinedeep中的不同数据层，并介绍了研究人群的基线特征，包括食物摄入量和生活质量。我们还描述了lifeline DEEP队列如何允许对广泛表型结果的遗传，基因组和代谢变异进行详细调查。最后，我们研究了胃肠道健康的决定因素，这是我们特别感兴趣的领域，可以由生命线深度解决。未来计划：我们已经建立了一个队列，其中多个数据水平允许对人群进行综合分析，将这些信息转化为疾病的生物标志物，这将为疾病机制和预防提供新的见解。
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.