kuno -儿童出生队列研究:基本原理、设计和队列描述。

IF 2.4 Q1 PEDIATRICS Molecular and cellular pediatrics Pub Date : 2019-01-09 DOI:10.1186/s40348-018-0088-z
Susanne Brandstetter, Antoaneta A Toncheva, Jakob Niggel, Christine Wolff, Silvia Gran, Birgit Seelbach-Göbel, Christian Apfelbacher, Michael Melter, Michael Kabesch
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引用次数: 37

摘要

背景:出生队列研究可以大大有助于了解儿童时期和整个生命过程中的健康和疾病。KUNO-Kids出生队列研究的建立是为了调查儿童健康的各个方面,在系统医学方法中使用新的组学技术。结果:经过3年的招募,2515名婴儿及其家庭加入了研究。与许多其他出生队列一样,受过高等教育的父母比例过高,而且更有可能通过自我报告问卷完成后续评估。绝大多数参与者同意对他们的孩子进行临床检查,并非侵入性地收集各种生物样本,这些样本经过专门处理,用于组学技术的综合应用,包括基因组学、表观基因组学、转录组学、代谢组学和皮肤、口腔和粪便的微生物组学分析。结论:在KUNO-Kids出生队列研究中收集的数据和各种生物材料将为以整体方法调查儿童健康及其决定因素提供广泛的机会。在一项研究中结合广泛的研究问题,将能够以具有成本效益的方式利用生物材料和组学结果,并对健康和疾病的生物和社会决定因素进行全面分析。以低流失率为目标,确保参与者的长期投入,将是充分利用研究潜力的关键。
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KUNO-Kids birth cohort study: rationale, design, and cohort description.

Background: Birth cohort studies can contribute substantially to the understanding of health and disease - in childhood and over the life course. The KUNO-Kids birth cohort study was established to investigate various aspects of child health, using novel omics technologies in a systems medicine approach.

Results: After 3 years of recruitment, 2515 infants and their families have joined the study. Parents with higher education are overrepresented as in many other birth cohorts and are more likely to complete follow-up assessments via self-report questionnaires. The vast majority of participants consented to clinical examinations of their child and to the non-invasive collection of diverse biosamples, which were processed specifically for their integrated use in omics technology covering genomics, epigenomics, transcriptomics, metabolomics, and microbiome analyses of the skin, oral cavity, and stool.

Conclusions: The data and diverse biomaterial collected in the KUNO-Kids birth cohort study will provide extensive opportunities for investigating child health and its determinants in a holistic approach. The combination of a broad range of research questions in one study will allow for a cost-effective use of biomaterial and omics results and for a comprehensive analysis of biological and social determinants of health and disease. Aiming for low attrition and ensuring participants' long-term commitment will be crucial to fully exploit the potential of the study.

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