Laugesen Kristina, Mengel-From Jonas, Christensen Kaare, Olsen Jørn, Hougaard David M, Boding Lasse, Olsen Anja, Erikstrup Christian, Hetland Merete Lund, Høgdall Estrid, Kjaergaard Alisa D, Sørensen Erik, Brügmann Anja, Petersen Eva Rabing Brix, Brandslund Ivan, Nordestgaard Børge G, Jensen Gorm B, Skajaa Nils, Troelsen Frederikke Schønfeldt, Fuglsang Cecilia Hvitfeldt, Svingel Lise Skovgaard, Sørensen Henrik T
Department of Clinical Epidemiology, Aarhus University Hospital and Aarhus University, Aarhus, Denmark.
Epidemiology, Biostatistics and Biodemography, the Danish Twin Registry, and the Danish Aging Research Center, Department of Public Health, University of Southern Denmark, Odense, Denmark.
Clin Epidemiol. 2023 Feb 21;15:213-239. doi: 10.2147/CLEP.S392416. eCollection 2023.
Biobank research may lead to an improved understanding of disease etiology and advance personalized medicine. Denmark (population ~5.9 million) provides a unique setting for population-based health research. The country is a rich source of biobanks and the universal, tax-funded healthcare system delivers routinely collected data to numerous registries and databases. By virtue of the civil registration number (assigned uniquely to all Danish citizens), biological specimens stored in biobanks can be combined with clinical and demographic data from these population-based health registries and databases. In this review, we aim to provide an understanding of advantages and possibilities of biobank research in Denmark. As knowledge about the Danish setting is needed to grasp the full potential, we first introduce the Danish healthcare system, the Civil Registration System, the population-based registries, and the interface with biobanks. We then describe the biobank infrastructures, comprising the Danish National Biobank Initiative, the Bio- and Genome Bank Denmark, and the Danish National Genome Center. Further, we briefly provide an overview of fourteen selected biobanks, including: The Danish Newborn Screening Biobank; The Danish National Birth Cohort; The Danish Twin Registry Biobank; Diet, Cancer and Health; Diet, Cancer and Health - Next generations; Danish Centre for Strategic Research in Type 2 Diabetes; Vejle Diabetes Biobank; The Copenhagen Hospital Biobank; The Copenhagen City Heart Study; The Copenhagen General Population Study; The Danish Cancer Biobank; The Danish Rheumatological Biobank; The Danish Blood Donor Study; and The Danish Pathology Databank. Last, we inform on practical aspects, such as data access, and discuss future implications.
生物样本库研究可能会增进对疾病病因的理解,并推动个性化医疗的发展。丹麦(人口约590万)为基于人群的健康研究提供了独特的环境。该国是生物样本库的丰富来源,全民税收资助的医疗保健系统会将常规收集的数据提供给众多登记处和数据库。凭借民事登记号码(唯一分配给所有丹麦公民),存储在生物样本库中的生物标本可以与这些基于人群的健康登记处和数据库中的临床及人口统计数据相结合。在本综述中,我们旨在阐述丹麦生物样本库研究的优势和可能性。由于需要了解丹麦的情况才能充分挖掘其潜力,我们首先介绍丹麦的医疗保健系统、民事登记系统、基于人群的登记处以及与生物样本库的接口。然后,我们描述生物样本库基础设施,包括丹麦国家生物样本库倡议、丹麦生物与基因组库以及丹麦国家基因组中心。此外,我们简要概述了14个选定的生物样本库,包括:丹麦新生儿筛查生物样本库;丹麦国家出生队列;丹麦双胞胎登记生物样本库;饮食、癌症与健康;饮食、癌症与健康——下一代;丹麦2型糖尿病战略研究中心;维杰勒糖尿病生物样本库;哥本哈根医院生物样本库;哥本哈根城市心脏研究;哥本哈根普通人群研究;丹麦癌症生物样本库;丹麦风湿病生物样本库;丹麦献血者研究;以及丹麦病理数据库。最后,我们介绍数据访问等实际情况,并讨论未来的影响。