Tigchelaar Ettje F, Zhernakova Alexandra, Dekens Jackie A M, Hermes Gerben, Baranska Agnieszka, Mujagic Zlatan, Swertz Morris A, Muñoz Angélica M, Deelen Patrick, Cénit Maria C, Franke Lude, Scholtens Salome, Stolk Ronald P, Wijmenga Cisca, Feskens Edith J M
Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands Top Institute Food and Nutrition, Wageningen, The Netherlands.
Top Institute Food and Nutrition, Wageningen, The Netherlands Laboratory of Microbiology, Wageningen University, Wageningen, The Netherlands.
BMJ Open. 2015 Aug 28;5(8):e006772. doi: 10.1136/bmjopen-2014-006772.
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.
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.
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.
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.
基于人群的前瞻性队列研究至关重要，因为它们在疾病发作前对个体进行跟踪，从而能够开展识别生物标志物和疾病修饰效应的研究，进而为系统流行病学做出贡献。
本文描述了荷兰生命线队列中一个经过深入检查的亚人群的设计和基线特征。在这个独特的亚队列“生命线深度研究”中，我们纳入了1539名18岁及以上的参与者。
我们收集了额外的血液样本（n = 1387）、呼出气体样本（n = 1425）和粪便样本（n = 1248），并获取了对胃肠道健康问卷的回答（n = 1176），用于分析基因组、表观基因组、转录组、微生物组、代谢组及其他生物学层面。在此，我们概述了“生命线深度研究”中的不同数据层，并呈现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“生命线深度研究”队列如何能够对广泛的表型结果进行遗传、基因组和代谢变异的详细研究。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一个领域，“生命线深度研究”可以对其进行探讨。
我们已经建立了一个队列，其多个数据层允许对人群进行综合分析，以便将这些信息转化为疾病的生物标志物，并将为疾病机制和预防提供新的见解。
