@article{3ff5a076cf834b1f87549d293d90bb2f,
title = "BioBank Japan project: Epidemiological study",
author = "Michiaki Kubo",
note = "Funding Information: Biobank Japan project was started as a leading project of Ministry of Education, Culture, Sports, Science and Technology (MEXT), Japan with the aim of providing evidence for the implementation of personalized medicine. In the first five years from fiscal 2003 to 2007, this project constructed a large, patient-based biobank, referred to as the Biobank Japan, consisted of 200,000 patients as the basic infrastructure of genetic research for common diseases. This activity was accomplished through the collection of clinical information and biological samples related to 47 target diseases and with the cooperation of 12 Japanese medical institutes. In the second five year period from fiscal 2008 to 2012, this project conducted genome-wide association studies in various diseases and identified many genetic variations associated with disease susceptibility and drug responses. As of the end of 2015, this project has published 296 papers in representative academic journals including 9 papers in Nature and 49 papers in Nature Genetics. All the publication in this project is opened to the public through the project website (https://biobankjp.org/work/public.html). In the third period from fiscal 2013 to 2017, this project is expanding the Biobank Japan by enrolling new participants with 38 target diseases, starting sequence-based genomic analyses, and constructing a tissue bank. In addition, this project started the collaboration with clinical research groups in Japan from 2014. Currently, this project stores DNA, plasma, and frozen cancer tissues collected through the clinical trials performed in Japan Clinical Oncology Group (JCOG), Japan Children's Cancer Group (JCCG) and National Hospital Organization (NHO).",
year = "2017",
doi = "10.1016/j.je.2016.11.001",
language = "English",
volume = "27",
pages = "S1",
journal = "Journal of epidemiology",
issn = "0917-5040",
publisher = "Japan Epidemiology Association",
number = "3",
}