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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

hum0213-v1Release info

Latest

Research title

Demographic History and Local Adaptation in Asian Population

Research overview

Aims
Understanding the recent evolutionary history of the Balti population
Methods
whole genome sequencing
Participants/materials
Baltis
URL
N/A

Datasets

CartDataset IDType of dataAnalysis methodAccess criteriaDate published
JGAD000337NGS (WGS)
  • WGS
Controlled-access (Type I)2022-08-02

Data provider

Principal investigator
Min-Sheng Peng
Affiliation
State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology

Research projects

NameURL
Demographic History and Local Adaptation in Asian Populations
N/A

Grants

NameTitleProject number
Strategic Priority Research Program of the Chinese Academy of Sciences
Human early activities and adaptative strategies to highlands
  • XDA20040100

Related publications

TitleDOIDataset ID
Tracing the Genetic Legacy of the Tibetan Empire in the Balti
https://doi.org/10.1093/molbev/msaa313 (opens in a new tab)

Controlled access users

Principal investigatorAffiliationCountry/RegionResearch titlePeriod of data useDataset ID
Yukinori OkadaDepartment of Statistical Genetics, Graduate School of Medicine, Osaka UniversityJapanElucidation of disease etiology by trans-layer omics analysis2023-06-13 – 2029-03-31