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

hum0481-v1Release info

Latest

Research title

Genome analysis of common diseases among older Japanese adults and development of clinical genome information storage

Research overview

Aims: Identification of genes associated with Alzheimer's disease and its application of the disease prediction model
Methods: RNA-seq of peripheral blood cells
Participants/materials: Alzheimer's disease, Mild cognitive impairment Alzheimer's disease, Mild cognitive impairment
URL: N/A

Datasets

Cart	Dataset ID	Type of data	Analysis method	Access criteria	Date published
	JGAD000896	NGS (RNA-seq)	RNA-seq	Controlled-access (Type I)	2024-11-26

Data provider

Principal investigator: Daichi Shigemizu
Affiliation: Medical Genome Center, Research Institute, National Center for Geriatrics and Gerontology

Research projects

No research projects.

Grants

Name	Title	Project number
Research Funding for Longevity Sciences, National Center for Geriatrics and Gerontology	Exploration of dementia-related factors and modules and development of a risk prediction model using AI	21-24
Research Funding for Longevity Sciences, National Center for Geriatrics and Gerontology	Identifying genetic mutations related to geriatric diseases through large-scale genome analysis and developing risk prediction models using AI	24-11

Related publications

Title	DOI	Dataset ID
Alzheimer's disease may develop from changes in the immune system, cell cycle, and protein processing following alterations in ribosome function	https://doi.org/10.1038/s41598-025-93590-5 (opens in a new tab)	JGAD000896

Controlled access users

No use of the controlled access data has been recorded.