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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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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

hum0166-v2Release info

Latest

Research title

Multicenter Evaluation of NUDT15-R139C genotyping efficiency to DEtect thiopurine-induced hair Loss and leukopenia (MENDEL study)

Research overview

Aims
Discovery of genetic factors associated with thiopurine-induced severe adverse events
Methods
Genome-wide association study
Participants/materials
Patients with inflammatory bowel diseases (Crohn's disease, Ulcerative Colitis, Gastrointestinal Behçet's disease)
URL
N/A

Datasets

CartDataset IDType of dataAnalysis methodAccess criteriaDate published
JGAD000791SNP array data of 2680 patients with inflammatory bowel diseases
  • Genotyping by array
Controlled-access (Type I)2024-01-11
NHA000086GWAS for 1221 patients of inflammatory bowel diseases with thiopurine-induced adverse events (leukopenia, alopecia)
  • Genotyping by array
Unrestricted-access2019-07-30

Data provider

Principal investigator
Yoichi Kakuta
Affiliation
Tohoku University Hospital, Department of Gastroenterology

Research projects

NameURL
MENDEL study group
N/A

Grants

NameTitleProject number
Program for Promoting Platform of Genomics based Drug Discovery, Japan Agency for Medical Research and Development (AMED)
Framework development for genomic medicine in inflammatory bowel disease based on the NUDT15 R139C genotyping kit to find the patients intolerant to thiopurines.
  • JP18kk0305002

Related publications

TitleDOIDataset ID
NUDT15 codon 139 is the best pharmacogenetic marker for predicting thiopurine-induced severe adverse events in Japanese patients with inflammatory bowel disease: a multicenter study.
Genetic Analysis of Ulcerative Colitis in Japanese Individuals Using Population-specific SNP Array
Genetic Background of Mesalamine-induced Fever and Diarrhea in Japanese Patients with Inflammatory Bowel Disease.

Controlled access users

No use of the controlled access data has been recorded.