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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

hum0551-v1Release info

Latest

Research title

Development of a prediction method for allergic diseases and allergen responsiveness using patients cohorts and general population cohorts

Research overview

Aims
Establishing a genomic foundation aimed at developing effective prevention and treatment methods for allergic diseases
Methods
Genotyping was performed using SNP arrays, followed by a genome-wide association study. For the 25,032 individuals from European populations, meta-analysis was performed using statistical values provided by the EAGLE Rhinitis Consortium.
Participants/materials
Meta-analysis of allergic sensitization GWAS in the Japanese general population: Case 20,492, Control 23,342
Meta-analysis of allergic sensitization GWAS in the Japanese general population and European general population: Case 28,738, Control 40,128
Meta-analysis of polysensitization GWAS in the Japanese general population: Case 4,923, Control 17,009
URL
N/A

Datasets

CartDataset IDType of dataAnalysis methodAccess criteriaDate published
NHA000206GWAS for allergic sensitization
  • Genotyping by array
Unrestricted-access2026-02-05

Data provider

Principal investigator
Emiko Noguchi
Affiliation
Department of Medical Genetics, Faculty of Medicine, University of Tsukuba

Research projects

No research projects.

Grants

NameTitleProject number
KAKENHI Grant-in-Aid for JSPS Fellows
Elucidating the Impact of HLA Diversity on Allergies Through Big Data Analysis
  • 21J11802
KAKENHI Grant-in-Aid for Scientific Research (B)
Development of a Genome-Based Prediction Method for the Onset of Allergic Diseases
  • 23H03143
Practical Research Project for Allergic Diseases and Immunology, Japan Agency for Medical Research and Development (AMED)
Development of a prediction method for allergic diseases and allergen responsiveness using patients cohorts and general population cohorts
  • JP20ek0410076
Biobank - Construction and Utilization biobank for genomic medicine REalization (B-Cure), Japan Agency for Medical Research and Development (AMED)
Development of computational infrastructure required for large-scale genome analysis and research on genome analysis
  • JP21tm0424601

Related publications

TitleDOIDataset ID
A genome-wide meta-analysis reveals shared and population-specific variants for allergic sensitization
https://doi.org/10.1016/j.jaci.2024.11.033 (opens in a new tab)