Dataset ID
NHA000163
- Type of data
- Fine-mapping for 79 phenotypes
- Access criteria
- Unrestricted-access
- Total data volume
- 4.1 GB
- File formats
- HTML
- ZIP
- Research
- hum0197
- Date published
- 2021-12-21
- Date modified
- 2021-12-21
- Secondary ID
- hum0197.v5.finemap.v1
Unrestricted-access files linked to this dataset
| File | Label | Size | Copy URL |
|---|---|---|---|
| hum0197.v5.finemap.InH.v1.zip | Disease name: Inguinal hernia / Abbreviation: Inguinal_Hernia / ICD10: K40 | 1.6 MB | |
| hum0197.v5.finemap.Kel.v1.zip | Disease name: Keloid / Abbreviation: Keloid / ICD10: L91.0 | 6.1 MB | |
| hum0197.v5.finemap.LDLC.v1.zip | Disease name: LDL-cholesterol / Abbreviation: LDLC | 44.1 MB | |
| hum0197.v5.finemap.LOY.v1.zip | Disease name: Mosaic loss of chromosome Y / Abbreviation: LOY / ICD10: Q998 | 40.4 MB | |
| hum0197.v5.finemap.LYM.v1.zip | Disease name: Lymphocyte / Abbreviation: Lym | 37.6 MB | |
| hum0197.v5.finemap.LuC.v1.zip | Disease name: Lung cancer / Abbreviation: LuC / ICD10: C34 | 8.6 MB | |
| hum0197.v5.finemap.MAP.v1.zip | Disease name: Mean arterial pressure / Abbreviation: MAP | 45.7 MB | |
| hum0197.v5.finemap.MCH.v1.zip | Disease name: Mean corpuscular hemoglobin / Abbreviation: MCH | 161 MB | |
| hum0197.v5.finemap.MCHC.v1.zip | Disease name: Mean corpuscular hemoglobin concentration / Abbreviation: MCHC | 63.9 MB | |
| hum0197.v5.finemap.MCV.v1.zip | Disease name: Mean corpuscular volume / Abbreviation: MCV | 183 MB | |
| hum0197.v5.finemap.MI.v1.zip | Disease name: Myocardial infarction / Abbreviation: MI / ICD10: I21/I22/I23/I24/I25 | 54.4 MB | |
| hum0197.v5.finemap.MON.v1.zip | Disease name: Monocyte / Abbreviation: Mono | 75.3 MB | |
| hum0197.v5.finemap.MP.v1.zip | Disease name: Age at menopause / Abbreviation: Age_at_Menopause | 24.6 MB | |
| hum0197.v5.finemap.MT.v1.zip | Disease name: Malignant tumor / Abbreviation: Malignant_Neoplasms / ICD10: C00-C97 | 12.3 MB | |
| hum0197.v5.finemap.Men.v1.zip | Disease name: Age at menarche / Abbreviation: Age_at_Menarche | 18.6 MB | |
| hum0197.v5.finemap.NAP.v1.zip | Disease name: Non-albumin protein / Abbreviation: NAP | 83.3 MB | |
| hum0197.v5.finemap.NEU.v1.zip | Disease name: Neutrophil / Abbreviation: Neutro | 36.9 MB | |
| hum0197.v5.finemap.P.v1.zip | Disease name: Phosphate / Abbreviation: P | 8.5 MB | |
| hum0197.v5.finemap.PAD.v1.zip | Disease name: Peripheral arterial disease / Abbreviation: PAD / ICD10: I73.9 | 4.7 MB | |
| hum0197.v5.finemap.PLT.v1.zip | Disease name: Platelet / Abbreviation: Plt | 192 MB |
41–60 / 80
Analysis method
genome wide SNPs
- Materials and participants
- Biobank Japan (n = 179,000), no. Phenotypes: 79
- Health statusMixed
- Subject count179,000 (Individual)
- CohortBioBank Japan
- Sample description
- DNAs extracted from peripheral blood cells
- TissuePeripheral blood
- Tumor / normalNormal
- Sample provider
- N/A
- Experimental method
- Genotyping by array
- Target
- N/A
- Reagent kit
- HumanExome BeadChip Kit
HumanOmniExpress BeadChip Kit
HumanOmniExpressExome BeadChip Kit - Platform
- Illumina HumanExome
Illumina HumanOmniExpress
Illumina HumanOmniExpressExome - Reference genome
- GRCh37
- QC and filtering
- GWAS: We included imputed variants with Rsq > 0.7. For binary traits, variants with MAC < 10 were additionally excluded.
Fine-mapping: We defined fine-mapping regions based on a 3 Mb window around each lead variant and merged regions if they overlapped. We excluded the major histocompatibility complex (MHC) region (chr 6: 25-36 Mb) from analysis due to extensive LD structure in the region. For each method, we only included variants from successfully fine-mapped regions while excluding those from failed regions (e.g., due to conversion failure or available memory restrictions). - Imputation
- Eagle, Minimac3
- Analysis method
- GWAS: For binary traits, SAIGE software was used with age, age2, sex, age×sex, age2×sex, and top 20 principal components as covariates. For quantitative traits (biomarkers), BOLT-LMM was used with the same covariates.
Fine-mapping: FINEMAP and SuSiE were used with GWAS summary statistics and in-sample dosage LD, allowing up to 10 causal variants per region. - Variant count
- 13,531,752 variants
- Phenotype data
- Included
- Data use policy
- NBDC data sharing policy (JGAP000001)