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NBDC Human Database

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Due to system maintenance, the application system, application review by the Data Access Committee will be unavailable during the following period.
Schedule: October 5th (Mon), 2026, 9:00 - October 7th (Wed), 2026, 15:00 (JST)
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We are currently receiving a large number of applications for data submission, and the review process is taking longer than usual.We sincerely apologize for the delay and kindly ask for your understanding. When submitting an application, we would greatly appreciate it if you could allow sufficient time for the processing.

Following a change to our organizational structure effective April 1, 2026, this division has been renamed from the "Database Center for Life Science, Joint Support-Center for Data Science Research" to the "Database Division for Life Science (DBCLS), BioData Science Initiative (BSI), National Institute of Genetics (NIG)". Where the former name still appears in the guidelines, please read it as the new name.

Research ID

hum0099-v1Release info

Latest

Research title

Expression quantitative trait loci analysis using human immune cells

Research overview

Aims
Expression quantitative trait loci analysis using human immune cells
Methods
Total RNA from whole blood cells and five immune cell populations (CD4⁺ T cells, CD8⁺ T cells, B cells, NK cells, and monocytes) and genomic DNA isolated from whole blood cells were used for RNA-seq and genotyping, respectively.
Participants/materials
105 Japanese healthy volunteers
URL
N/A

Datasets

CartDataset IDType of dataAnalysis methodAccess criteriaDate published
JGAD000085RNA-seq
(Fragments Per Kilobase of exon per Million mapped fragments: FPKM)
  • RNA-seq
Controlled-access (Type I)2020-09-28
NHA000051eQTL
(Summary of stats for each variant [ex. effect size, P-value])
  • Genotyping by array
Unrestricted-access2017-04-24

Data provider

Principal investigator
Kazuhiko Yamamoto
Affiliation
The University of Tokyo, Graduate School of Medicine, Allergy and Rheumatology
Principal investigator
Michiaki Kubo
Affiliation
RIKEN Center for Integrative Medical Science

Research projects

No research projects.

Grants

NameTitleProject number
Collaboration with Takeda Pharmaceutical Company Limited.
Identification of treatment targets based on eQTL
N/A

Related publications

TitleDOIDataset ID
Polygenic burdens on cell-specific pathways underlie the risk of rheumatoid arthritis

Controlled access users

Principal investigatorAffiliationCountry/RegionResearch titlePeriod of data useDataset ID
Kyuyoung SongBiochemistry and Molecular Biology, University of Ulsan college of medicineSouth KoreaAnalysis of genome-wide association screening data for the identification of genes associated with inflammatory bowel disease in Koreans2018-08-06 – 2019-09-24
Michiaki HamadaHamada Laboratory, Faculty of Science and Engineering, Waseda UniversityJapanConstruction of RNA-targeted Drug Discovery Database2023-01-05 – 2027-10-31
Yuta KochiDepartment of Genomic Function and Diversity, Medical Research Institute, Tokyo Medical and Dental UniversityJapanGenetic study of complex diseases through comprehensive analysis of functional genetic variations2023-04-12 – 2028-03-31