Overview of BioBank Japan follow-up data in 32 diseases

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Author(s)

    • Hirata Makoto
    • Laboratory of Genome Technology, Institute of Medical Science, The University of Tokyo
    • Mushiroda Taisei
    • Laboratory for Pharmacogenomics, RIKEN Center for Integrative Medical Sciences
    • Murakami Yoshinori
    • Division of Molecular Pathology, Institute of Medical Science, The University of Tokyo
    • Yuji Koichiro
    • Project Division of International Advanced Medical Research, Institute of Medical Science, The University of Tokyo
    • Furukawa Yoichi
    • Division of Clinical Genome Research, Institute of Medical Science, The University of Tokyo
    • Zembutsu Hitoshi
    • Laboratory of Molecular Medicine, Institute of Medical Science, The University of Tokyo|Division of Genetics, National Cancer Center Research Institute
    • Tanaka Toshihiro
    • SNP Research Center, RIKEN Yokohama Institute|Department of Human Genetics and Disease Diversity, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University|Bioresource Research Center, Tokyo Medical and Dental University
    • Ohnishi Yozo
    • SNP Research Center, RIKEN Yokohama Institute|Shinko Clinic, Medical Corporation Shinkokai
    • Nakamura Yusuke
    • Laboratory of Molecular Medicine, Institute of Medical Science, The University of Tokyo|Section of Hematology/Oncology, Department of Medicine, The University of Chicago
    • Matsuda Koichi
    • Laboratory of Molecular Medicine, Institute of Medical Science, The University of Tokyo|Laboratory of Clinical Genome Sequencing, Graduate School of Frontier Sciences, The University of Tokyo
    • Nagai Akiko
    • Department of Public Policy, Institute of Medical Science, The University of Tokyo
    • Kamatani Yoichiro
    • Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences
    • Ninomiya Toshiharu
    • Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University
    • Tamakoshi Akiko
    • Department of Public Health, Hokkaido University Graduate School of Medicine
    • Muto Kaori
    • Department of Public Policy, Institute of Medical Science, The University of Tokyo

Abstract

<p><i>Background:</i> We established a patient-oriented biobank, BioBank Japan, with information on approximately 200,000 patients, suffering from any of 47 common diseases. This follow-up survey focused on 32 diseases, potentially associated with poor vital prognosis, and collected patient survival information, including cause of death. We performed a survival analysis for all subjects to get an overview of BioBank Japan follow-up data.</p><p><i>Methods:</i> A total of 141,612 participants were included. The survival data were last updated in 2014. Kaplan–Meier survival analysis was performed after categorizing subjects according to sex, age group, and disease status. Relative survival rates were estimated using a survival-rate table of the Japanese general population.</p><p><i>Results:</i> Of 141,612 subjects (56.48% male) with 1,087,434 person-years and a 97.0% follow-up rate, 35,482 patients died during follow-up. Mean age at enrollment was 64.24 years for male subjects and 63.98 years for female subjects. The 5-year and 10-year relative survival rates for all subjects were 0.944 and 0.911, respectively, with a median follow-up duration of 8.40 years. Patients with pancreatic cancer had the least favorable prognosis (10-year relative survival: 0.184) and patients with dyslipidemia had the most favorable prognosis (1.013). The most common cause of death was malignant neoplasms. A number of subjects died from diseases other than their registered disease(s).</p><p><i>Conclusions:</i> This is the first report to perform follow-up survival analysis across various common diseases. Further studies should use detailed clinical and genomic information to identify predictors of mortality in patients with common diseases, contributing to the implementation of personalized medicine.</p>

Journal

  • Journal of Epidemiology

    Journal of Epidemiology 27(Supplement_III), S22-S28, 2017

    Japan Epidemiological Association

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