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

Cart	Dataset ID	Type of data	Analysis method	Access criteria	Date published
	JGAD000085	RNA-seq (Fragments Per Kilobase of exon per Million mapped fragments: FPKM)	RNA-seq	Controlled-access (Type I)	2020-09-28
	NHA000051	eQTL (Summary of stats for each variant [ex. effect size, P-value])	Genotyping by array	Unrestricted-access	2017-04-24

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

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

Related publications

Title	DOI	Dataset ID
Polygenic burdens on cell-specific pathways underlie the risk of rheumatoid arthritis	https://doi.org/10.1038/ng.3885 (opens in a new tab)	JGAD000085 NHA000051

Controlled access users

Principal investigator	Affiliation	Country/Region	Research title	Period of data use	Dataset ID
Kyuyoung Song	Biochemistry and Molecular Biology, University of Ulsan college of medicine	South Korea	Analysis of genome-wide association screening data for the identification of genes associated with inflammatory bowel disease in Koreans	2018-08-06 – 2019-09-24	JGAD000085
Michiaki Hamada	Hamada Laboratory, Faculty of Science and Engineering, Waseda University	Japan	Construction of RNA-targeted Drug Discovery Database	2023-01-05 – 2027-10-31	JGAD000085
Yuta Kochi	Department of Genomic Function and Diversity, Medical Research Institute, Tokyo Medical and Dental University	Japan	Genetic study of complex diseases through comprehensive analysis of functional genetic variations	2023-04-12 – 2028-03-31	JGAD000085