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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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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

hum0196-v1Release info

Latest

Research title

Identification of biomarker for suicide prevention using blood and brain samples of completed suicide

Research overview

Aims
Identification of biomarkers for risk of suicide and application to clinical use
Methods
GWAS
Participants/materials
Individuals who died by suicide
URL
N/A

Datasets

CartDataset IDType of dataAnalysis methodAccess criteriaDate published
NHA000131meta-analyses of GWAS datasets for suicides vs. non-suicide individuals and for age at suicide
  • Genotyping by array
Unrestricted-access2019-12-20

Data provider

Principal investigator
Akitoyo Hishimoto
Affiliation
Department of Psychiatry, Kobe University Graduate School of Medicine

Research projects

No research projects.

Grants

NameTitleProject number
KAKENHI Grant-in-Aid for Scientific Research (B)
Investigation on molecular mechanism causing the downward spiral of Stress, Depression, and Suicide
  • 17H04249

Related publications

TitleDOIDataset ID
Genome-wide association studies identify polygenic effects for completed suicide in the Japanese population
https://doi.org/10.1038/s41386-019-0506-5 (opens in a new tab)