NBDC Research ID: hum0551.v1
SUMMARY
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
| Dataset ID | Type of Data | Criteria | Release Date |
|---|---|---|---|
| hum0551.v1.gwas.v1 | GWAS for allergic sensitization | Unrestricted-access | 2026/02/05 |
*When the research results including the data which were downloaded from NHA/DRA, are published or presented somewhere, the data user must refer the papers which are related to the data, or include in the acknowledgment. Learn more
MOLECULAR DATA
| Participants/Materials |
Japanese general population: allergic sensitization case 20,492, control 23,342 Japanese general population and European general population: allergic sensitization case 28,738, control 40,128 Japanese general population: allergic polysensitization case 4,923, control 17,009 |
| Targets | genome wide SNPs |
| Target Loci for Capture Methods | - |
| Platform |
Illumina [Infinium Asian Screening Array] Thermo Fisher Scientific [Axiom Japonica Array v2] |
| Source | DNA extracted from peripheral blood cells |
| Cell Lines | - |
| Reagents (Kit, Version) | Axiome Japonica array version 2 or Infinium™ Asian Screening Array-24 v1.0 |
| Genotype Call Methods (software) | GenomeStudio for genotyping, Shapeit2 for phasing, Minimac4 for imputation |
| Association Analysis & Meta Analysis (software) | SAIGE software was used with age, sex and top 10 principal components as covariates for Japanese population. For cross-ancestry meta-analysis, the GWAS meta-analysis summary results for the European population were obtained from the EAGLE Rhinitis Consortium. Meta analysis was performed using METAL software. |
| Filtering Methods | Rsq > 0.7 (Japanese). |
| Marker Number (after QC) | 5189598 (meta analysis Japanese), 4589330 (meta analysis cross-ancestry), 5049687 (polysensitization) |
| NBDC Dataset ID |
(Click the gwas number to download files) |
| Total Data Volume | 1.5 GB (txt) |
| Comments (Policies) | NBDC policy |
DATA PROVIDER
Principal Investigator: Emiko Noguchi
Affiliation: Department of Medical Genetics, Faculty of Medicine, University of Tsukuba
Project / Group Name: -
Funds / Grants (Research Project Number):
| Name | Title | Project 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 |
PUBLICATIONS
| Title | DOI | Dataset ID | |
|---|---|---|---|
| 1 | A genome-wide meta-analysis reveals shared and population-specific variants for allergic sensitization | doi: 10.1016/j.jaci.2024.11.033 | hum0551.v1.gwas.v1 |
| 2 |
