Overview of the BioBank Japan Project: Study design and profile
By A. Nagai, M. Hirata, Y. Kamatani, K. Muto, K. Matsuda, Y. Kiyohara, T. Ninomiya, A. Tamakoshi, Z. Yamagata, T. Mushiroda and 36 more. Journal of Epidemiology, 2017
649 citations recorded by the source corpus.
Background The BioBank Japan (BBJ) Project was launched in 2003 with the aim of providing evidence for the implementation of personalized medicine by constructing a large, patient-based biobank (BBJ). This report describes the study design and profile of BBJ participants who were registered during the first 5-year period of the project. Methods The BBJ is a registry of patients diagnosed with any of 47 target common diseases. Patients were enrolled at 12 cooperative medical institutes all over Japan from June 2003 to March 2008. Clinical information was collected annually via interviews and medical record reviews until 2013. We collected DNA from all participants at baseline and collected annual serum samples until 2013. In addition, we followed patients who reported a history of 32 of the 47 target diseases to collect survival data, including cause of death. Results During the 5-year period, 200,000 participants were registered in the study. The total number of cases was 291,274 at baseline. Baseline data for 199,982 participants (53.1% male) were available for analysis. The average age at entry was 62.7 years for men and 61.5 years for women. Follow-up surveys were performed for participants with any of 32 diseases, and survival time data for 141,612 participants were available for analysis. Conclusions The BBJ Project has constructed the infrastructure for genomic research for various common diseases. This clinical information, coupled with genomic data, will provide important clues for the implementation of personalized medicine.
Subfields: Molecular Biology, Pharmacology, Public Health, Environmental and Occupational Health
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Citations in the corpus
- Precision Medicine, AI, and the Future of Personalized Health Care (2020, background): “…by establishing data repositories is not restricted to the United States; examples from Biobanks in many countries, such as the UK Biobank, 37 BioBank Japan, 38 and Australian Genomics Health Alliance 39 demonstrate the power of changing attitudes toward precision medicine on a global scale.”
- A resource-efficient tool for mixed model association analysis of large-scale data (2019, background): “Due to the substantial decrease in genotyping costs in recent years, sample sizes of GWAS have dramatically increased to 100,000s in single cohorts, such as the UK Biobank (UKB) 18 and the Biobank Japan Project 19 .”