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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)
We apologize for any inconvenience this may cause and appreciate your understanding.

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

hum0037-v1Release info

Latest

Research title

Diagnostic feasibility study for pathological prediction with rheumatoid arthritis-susceptible genes and genomic regions identified by the association analysis using microsatelite markers

Research overview

Aims
Searching for rare/low frequency variants in rheumatoid arthritis (RA)
Methods
Obtaining of susceptible candidate genes for RA by exome sequencing and validation methods
Participants/materials
Patients with RA as cases and healthy individuals as controls
URL
N/A

Datasets

CartDataset IDType of dataAnalysis methodAccess criteriaDate published
JGAD000035NGS (Exome)
  • WES
Controlled-access (Type I)2020-09-28

Data provider

Principal investigator
Shigeki Mitsunaga
Affiliation
Department of Molecular Life Sciences Division of Basic Medical Science and Molecular Medicine, Tokai University School of Medicine

Research projects

No research projects.

Grants

NameTitleProject number
KAKENHI Grant-in-Aid for Scientific Research (C)
Exome sequencing for disease gene discovery in rheumatoid arthritis
  • 22510213

Related publications

TitleDOIDataset ID
Aggregation of rare/low-frequency variants of the mitochondria respiratory chain-related proteins in rheumatoid arthritis patients.
https://doi.org/10.1038/jhg.2015.50 (opens in a new tab)
Exome sequencing identifies novel rheumatoid arthritis-susceptible variants in the BTNL2.
https://doi.org/10.1038/jhg.2013.2 (opens in a new tab)

Controlled access users

No use of the controlled access data has been recorded.