Dataset ID
NHA000162
- Type of data
- GWAS for 215 phenotypes
- Access criteria
- Unrestricted-access
- Total data volume
- 567 GB
- File formats
- HTML
- ZIP
- Research
- hum0197
- Date published
- 2021-03-22
- Date modified
- 2021-03-22
- Secondary ID
- hum0197.v3.gwas.v1
Unrestricted-access files linked to this dataset
| File | Label | Size | Copy URL |
|---|---|---|---|
| hum0197.v3.EUR.EcP.v1.zip | Disease name: Ectopic pregnancy / Abbreviation: Ect_preg / ICD10: O00 | 523 MB | |
| hum0197.v3.EUR.EnC.v1.zip | Disease name: Endometrial cancer / Abbreviation: EnC / ICD10: C54 | 525 MB | |
| hum0197.v3.EUR.Ep.v1.zip | Disease name: Epilepsy / Abbreviation: Epilepsy / ICD10: G40/G41 | 519 MB | |
| hum0197.v3.EUR.FA.v1.zip | Disease name: Food allergy / Abbreviation: Food_Allergy / ICD10: Z91.01 | 1.6 GB | |
| hum0197.v3.EUR.FNP.v1.zip | Disease name: Facial nerve palsy (Bell's palsy) / Abbreviation: FacialN_palsy / ICD10: G51.0 | 525 MB | |
| hum0197.v3.EUR.FS.v1.zip | Disease name: Febrile seizure / Abbreviation: Febrile_Seizure / ICD10: R56.0 | 1.6 GB | |
| hum0197.v3.EUR.GBP.v1.zip | Disease name: Gall bladder polyp / Abbreviation: GB_polyp / ICD10: K82.8 | 1.6 GB | |
| hum0197.v3.EUR.GC.v1.zip | Disease name: Gastric cancer / Abbreviation: GaC / ICD10: C16 | 529 MB | |
| hum0197.v3.EUR.GD.v1.zip | Disease name: Graves' disease / Abbreviation: GD / ICD10: E05.0 | 524 MB | |
| hum0197.v3.EUR.GERD.v1.zip | Disease name: Gastroesophageal reflux disease / Abbreviation: GERD / ICD10: K21 | 513 MB | |
| hum0197.v3.EUR.GP.v1.zip | Disease name: Gastric polyp / Abbreviation: Gastric_polyp / ICD10: K31.7 | 1.6 GB | |
| hum0197.v3.EUR.GU.v1.zip | Disease name: Gastric ulcer / Abbreviation: Gastric_Ulcer / ICD10: K25 | 520 MB | |
| hum0197.v3.EUR.Gla.v1.zip | Disease name: Glaucoma / Abbreviation: Glaucoma / ICD10: H40 | 517 MB | |
| hum0197.v3.EUR.Goi.v1.zip | Disease name: Goiter / Abbreviation: Goiter / ICD10: E04 | 522 MB | |
| hum0197.v3.EUR.HAV.v1.zip | Disease name: Acute hepatitis by Hepatitis A virus / Abbreviation: HAV_hepatitis / ICD10: B15.9 | 1.5 GB | |
| hum0197.v3.EUR.HC.v1.zip | Disease name: Hypertrophic cardiomyopathy / Abbreviation: Hypertrophic_Cardiomyopathy / ICD10: I42.1/I42.2 | 529 MB | |
| hum0197.v3.EUR.HD.v1.zip | Disease name: Hashimoto's disease / Abbreviation: Hashimoto_Disease / ICD10: E06.3 | 515 MB | |
| hum0197.v3.EUR.HI.v1.zip | Disease name: Head injury / Abbreviation: Head_Injury / ICD10: S09 | 1.6 GB | |
| hum0197.v3.EUR.HL.v1.zip | Disease name: Hearing loss, difficulty in hearing / Abbreviation: Hearing_Loss / ICD10: H90 | 515 MB | |
| hum0197.v3.EUR.Her.v1.zip | Disease name: Herpes infection / Abbreviation: Herpes / ICD10: B00 | 1.5 GB |
281–300 / 601
Analysis method
genome wide SNPs
- Materials and participants
- Biobank Japan (n = 179,000), UK biobank (n = 361,000), FinnGen (n = 136,000), no. Phenotypes: 220
- Health statusMixed
- Subject count676,000 (Individual)
- CohortBioBank Japan, FinnGen, UK Biobank
- PopulationBritish, Finnish, Japanese
- 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
- FinnGen1 ThermoFisher Array
HumanExome BeadChip Kit
HumanOmniExpress BeadChip Kit
HumanOmniExpressExome BeadChip Kit
UK BiLEVE Axiom Array
UK Biobank Axiom Array - Platform
- Applied Biosystems UK BiLEVE Axiom Array
Applied Biosystems UK Biobank Axiom Array
Illumina HumanExome
Illumina HumanOmniExpress
Illumina HumanOmniExpressExome
Thermo Fisher Scientific FinnGen1 ThermoFisher Array - QC and filtering
- BBJ: We included imputed variants with Rsq > 0.7.
UK Biobank: We excluded the variants with (i) INFO score ≤ 0.8, (ii) MAF ≤ 0.0001 (except for missense and protein-truncating variants annotated by VEP, which were excluded if MAF ≤ 1 × 10-6), and (iii) PHWE ≤ 1 × 10-10.
FinnGen: We excluded variants with an imputation INFO score < 0.8 or MAF < 0.0001. - Imputation
- BBJ: Eagle, Minimac3
UK Biobank: IMPUTE4
FinnGen: beagle4.1 - Analysis method
- 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 or plink software was used with the same covariates.
- Variant count
- BBJ: 13,530,797 variants
UK Biobank: 13,791,467 variants
FinnGen: 16,859,359 variants - Phenotype data
- Included
- Data use policy
- NBDC data sharing policy (JGAP000001)