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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

hum0167-v1Release info

Latest

Research title

Study to clarify the pathophysiology of gout / hyperuricemia and uric acid related diseases

Research overview

Aims
To clarify the susceptibility genetic loci for serum uric acid (SUA) level
Methods
GWAS meta analysis
Participants/materials
Participants of 3 Japanese cohorts (the Japan Multi-Institutional Collaborative Cohort [J-MICC] study, the KIta Nagoya Genomic epidemiological studies [KING] study, and the Bio Bank Japan [BBJ] study)
URL
N/A

Datasets

CartDataset IDType of dataAnalysis methodAccess criteriaDate published
NHA000085meta analysis of 3 GWASs for SUA level
  • Genotyping by array
Unrestricted-access2019-07-23

Data provider

Principal investigator
Hirotaka Matsuo
Affiliation
Department of Integrative Physiology and Bio-Nano Medicine, National Defense Medical College

Research projects

No research projects.

Grants

NameTitleProject number
KAKENHI Grant-in-Aid for Scientific Research (B)
Investigation of pathophysiology of gout by molecular genetic epidemiological analysis and application to genome-tailored medicine
  • 25293145
KAKENHI Grant-in-Aid for challenging Exploratory Research
Evaluation of urate excretion mechanism at human intestinal epithelium using molecular genetic epidemiological analysis
  • 15K15227
KAKENHI Grant-in-Aid for Scientific Research (B)
Organization of International consortium for gout genetics and development of its preventive medicine
  • 17H04128
KAKENHI Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)
Scientific Support Programs for Cancer Research Grant-in-Aid for Scientific Research on Innovative Areas Study on supports for molecular cohort studies
  • 221S0001
KAKENHI Grant-in-Aid for Scientific Research on Priority Areas
Study on supports for molecular cohort studies
  • 17015018
KAKENHI Grant-in-Aid for Scientific Research on Innovative Areas - Platforms for Advanced Technologies and Research Resources
Platform of Supporting Cohort Study and Biospecimen Analysis
  • 16H06277
KAKENHI Grant-in-Aid for Scientific Research (B)
Prediction of the genetic and epigenetic risk associated with lifestyle-relatied diseases in the population-based confirmatory factor analysis
  • 24390169
KAKENHI Grant-in-Aid for Scientific Research (B)
Prediction of the genetic and epigenetic risks associated with lifestyle-related diseases in the population-based confirmatory factor analysis
  • 16H05250
KAKENHI Grant-in-Aid for Scientific Research (B)
Construction of an epigenetic epidemiology database for a population cohort
  • 25293144
KAKENHI Grant-in-Aid for Young Scientists (B)
Elucidation of adiponectin expression pathway based on the co-expression network and epigenome data analysis
  • 15K19242
KAKENHI Grant-in-Aid for Scientific Research (C)
Elucidation of the significance of DNA methylation at the ELOVL2 promoter for the proposal of new metabolic correlations
  • 18K06942

Related publications

TitleDOIDataset ID
Genome-wide meta-analysis identifies multiple novel loci associated with serum uric acid levels in Japanese individuals
https://doi.org/10.1038/s42003-019-0339-0 (opens in a new tab)