Evidence map›Paper›PMID 28189464›Full record

ReviewJournal of epidemiology2017

Overview of the BioBank Japan Project: Study design and profile.

Akiko Nagai, Makoto Hirata, Yoichiro Kamatani, Kaori Muto, Koichi Matsuda, Yutaka Kiyohara, Toshiharu Ninomiya, Akiko Tamakoshi, Zentaro Yamagata, Taisei Mushiroda and 9 more

Abstract readReview
In one paragraph

Review in Journal of epidemiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 482 papers, 17 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
482citing papers in PubMed, 17 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

482 citing papers in PubMed, 17 syntheses or guidelines pooled it.

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  13. Genome-wide meta-analysis identifies ancestry-specific loci for Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
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422 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

19 authors.

Akiko NagaiDepartment of Public Policy, Institute of Medical Science, The University of Tokyo, Tokyo, Japan.
Makoto HirataLaboratory of Genome Technology, Institute of Medical Science, The University of Tokyo, Tokyo, Japan.
Yoichiro KamataniLaboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
Kaori MutoDepartment of Public Policy, Institute of Medical Science, The University of Tokyo, Tokyo, Japan.
Koichi MatsudaLaboratory of Molecular Medicine, Institute of Medical Science, The University of Tokyo, Tokyo, Japan; Laboratory of Clinical Genome Sequencing, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan.
Yutaka KiyoharaHisayama Research Institute for Lifestyle Diseases, Fukuoka, Japan.
Toshiharu NinomiyaDepartment of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Akiko TamakoshiDepartment of Public Health, Hokkaido University Graduate School of Medicine, Sapporo, Japan.
Zentaro YamagataDepartment of Health Sciences, University of Yamanashi, Yamanashi, Japan.
Taisei MushirodaLaboratory for Pharmacogenomics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
Yoshinori MurakamiDivision of Molecular Pathology, Institute of Medical Science, The University of Tokyo, Tokyo, Japan.
Koichiro YujiProject Division of International Advanced Medical Research, Institute of Medical Science, The University of Tokyo, Tokyo, Japan.
Yoichi FurukawaDivision of Clinical Genome Research, Institute of Medical Science, The University of Tokyo, Tokyo, Japan.
Hitoshi ZembutsuLaboratory of Molecular Medicine, Institute of Medical Science, The University of Tokyo, Tokyo, Japan; Division of Genetics, National Cancer Center Research Institute, Tokyo, Japan.
Toshihiro TanakaSNP Research Center, RIKEN Yokohama Institute, Yokohama, Japan; Department of Human Genetics and Disease Diversity, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan; Bioresource Research Center, Tokyo Medical and Dental University, Tokyo, Japan.
Yozo OhnishiSNP Research Center, RIKEN Yokohama Institute, Yokohama, Japan; Shinko Clinic, Medical Corporation Shinkokai, Tokyo, Japan.
Yusuke NakamuraLaboratory of Molecular Medicine, Institute of Medical Science, The University of Tokyo, Tokyo, Japan; Section of Hematology/Oncology, Department of Medicine, The University of Chicago, Chicago, USA.
BioBank Japan Cooperative Hospital Group
Michiaki KuboRIKEN Center for Integrative Medical Sciences, Yokohama, Japan. Electronic address: michiaki.kubo@riken.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe 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.

methodsThe 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.

resultsDuring 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.

conclusionsThe 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.

Indexed as

Biological Specimen BanksRegistriesFemaleGenetic ResearchHumansJapanMaleMiddle AgedPrecision MedicineResearch DesignBiobankBioBank Japan ProjectGenomic researchPersonalized medicine

Identifiers

PMID28189464
PMCPMC5350590

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.