UK Biobank is an extensive biomedical database and research resource. It contains in-depth genetic and health information from 500 000 UK subjects, comprising a wealth of basic structured data, high-throughput genomic and genetic data, and multimodal imaging data. However, difficulties in accessing the large amount of data mean that the database has not been widely used in China. We first introduced the health-related structural data, genetic data, and imaging data in the UK Biobank. We then described methods for using different types of data downloaded from UK Biobank, and explored recent research based on these data. We also discussed classic research focusing on applying artificial intelligence technology to UK Biobank data. Finally, we predicted future research trends in the utilization of UK Biobank data in areas such as anatomy, physiology, genetic variation, and phenotypic characteristics.
UK Biobank (UKB) is a forward-looking epidemiological project with over 500, 000 people aged 40 to 69, whose image extension project plans to re-invite 100, 000 participants from UKB to perform multimodal brain magnetic resonance imaging. Large-scale multimodal neuroimaging combined with large amounts of phenotypic and genetic data provides great resources to conduct brain health-related research. This article provides an in-depth overview of UKB in the field of neuroimaging. Firstly, neuroimage collection and imaging-derived phenotypes are summarized. Secondly, typical studies of UKB in neuroimaging areas are introduced, which include cardiovascular risk factors, regulatory factors, brain age prediction, normality, successful and morbid brain aging, environmental and genetic factors, cognitive ability and gender. Lastly, the open challenges and future directions of UKB are discussed. This article has the potential to open up a new research field for the prevention and treatment of neurological diseases.
ObjectiveTo investigate the clinical research development of dementia in the UK Biobank database in SCIE and PubMed. MethodsThe literatures of dementia in the UK Biobank database published in SCIE and PubMed from January 1, 2018 to November 30, 2022 were searched, and the number of articles, publishing institutions, journals, citations, authors and keywords were statistically analyzed. ResultsA total of 279 papers were included, and the number of papers presented an annual growth trend. The United Kingdom has the largest number of publications, the United States journals have the greatest influence, and China has the third largest number of publications. Springer Nature from Germany published the most papers, with the largest number of 47 papers. Among the authors, Yu JT from China published the most, with 11 articles, and the most major keyword in the research content is Alzheimer. ConclusionThe literatures of dementia in the UK Biobank-related field included in SCIE and PubMed databases show an increasing trend year by year, mainly in English, and the core author group has not yet formed. The papers published by Chinese scholars are concentrated in 2020-2022, and there are few transnational cooperative papers.