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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

hum0119-v1Release info

Latest

Research title

Analysis for mechanism of onset and progress for NASH

Research overview

Aims
Discovery of genetic factors for NAFLD, NASH and NASH derived hepatocellular carcinoma
Methods
Genome scan by SNP array
Participants/materials
NAFLD patients (include 580 NASH and 58 NASH-HCC) : 902, controls : 7672
URL
N/A

Datasets

CartDataset IDType of dataAnalysis methodAccess criteriaDate published
JGAD000137GWAS for NAFLD, NASH, and NASH-HCC
  • Genotyping by array
Controlled-access (Type I)2020-09-28

Data provider

Principal investigator
Fumihiko Matsuda
Affiliation
Center for Genomic Medicine, Kyoto University Graduate School of Medicine

Research projects

No research projects.

Grants

NameTitleProject number
Health and Labour Sciences Research Grant for Research on Hepatitis
Research and development of pathophysiology, diagnostic tool and treatment in nonalcoholic fatty liver disease
  • H20-Hepatitis-general-008

Related publications

TitleDOIDataset ID
Risk estimation model for nonalcoholic fatty liver disease in the Japanese using multiple genetic markers
https://doi.org/10.1371/journal.pone.0185490 (opens in a new tab)

Controlled access users

Principal investigatorAffiliationCountry/RegionResearch titlePeriod of data useDataset ID
Tetsuo TakeharaGastroenterology and Hepatology, Osaka University, Graduate School of MedicineJapanA study of gene polymorphism and mutation to predict the progression of chronic liver disease2021-03-18 – 2026-08-31