Human Data Logo
NBDC HumanDB
NBDC Research ID:hum0014-v32
Release info
To the latest version (v37)

Title

Bio Bank Japan project

Research overview

Aims: Identify disease-related genes and mobile element variations in Japanese/Development for Japanese population-specific reference panels

Methods: Genomic DNA samples were genotyped by following methods: Human610-Quad BeadChip, HumanHap550v3 Genotyping BeadChip, HumanOmniExpress-12 BeadChip, HumanExome BeadChip, OmniExpressExome BeadChip (Illumina), high-density oligonucleotide arrays (Perlegen Sciences), or Invader (Hologic Japan). Genome-Wide Association Studies (GWAS) for myocardial infarction (MI) , type II diabetes mellitus (T2DM), Atopic dermatitis (AD), atrial fibrillation (AF), Body Mass Index (BMI), primary open-angle glaucoma (POAG), 58 quantitative traits, age at menarche / menopause, smoking behaviour, height, 42 diseases (among them, the samples of 4 diseases were partially overlapped with those of previous release), dietary habits, and coronary artery disease were performed using about 500-2700K variants. Meta analyses for T2DM with diabetic nephropathy and for T2DM were also performed. SNP array analysis for 51 diseases registered in Biobank Japan were performed. Whole-genome sequencing analyses for 1,026 + 1,007 patients, who were registered Bio Bank Japan from 2003 - 2007, 1,765 myocardial infarction patients, 199 dementia patients, 256 + 2,067 gastric cancer patients, 617 colorectal cancer patients and 2,162 diabetes patients were performed with Illumina HiSeq 2500/X Five. Target sequencing analyses of 11 hereditary breast cancer genes in 7,104 breast cancer patients and 23,731 controls, 8 hereditary prostate cancer genes in 7,636 prostate cancer patients and 12,366 controls, 23 genes related to clonal hematopoiesis in 11,234 subjects extracted from approximately 200,000 subjects registered in Biobank Japan between fiscal years 2003 to 2007, 27 cancer-predisposing genes in 1,009 pancreatic cancer patients, 12,606 colorectal cancer patients, 740 renal cell cancer patients, 1,982 lymphoma patients, 10,366 gastric cancer patients and 23,780 + 5,996 + 37,592 controls and 13 renal cell carcinoma-related genes in 740 renal cell cancer patients and 5,996 controls were performed with Illumina HiSeq 2500. Also targeted sequencing was performed on the coding regions of TP53 in 140,597 individuals, including those with breast cancer, stomach cancer, colon cancer, heart failure, stroke, etc. SNP array analysis for 11,234 subjects was performed. A new reference panel was build with WGS data of the biobank Japan project (N=7,472 or 3,256) and the 1KGPp3v5 ALL (N=2,504). Sex-stratified genome-wide association studies using a Cox proportional hazard model under the assumption of the additive genetic model were performed. Associations of genetic variants estimated by saddle point estimation using SPACox software were also evaluated. A mobile element variation (MEV) search tool, MEGAnE, was applied to 4,880 WGS conducted in BBJ and 24,933 MEVs were found. Genome-wide association study for atrial fibrillation was performed in 9,826 cases and 140,446 controls. A subsequent cross-ancestry meta-analysis with European GWAS (60,620 cases and 970,216 controls; http://csg.sph.umich.edu/willer/public/afib2018) and Finnish GWAS (7,244 cases and 56,378 controls; FinnGenn; https://www.finngen.fi/en) was performed (77,690 cases and 1,167,040 controls in total). Polygenic risk score was constructed based on the cross-ancestry meta-analysis of atrial fibrillation.

Targets: Participants for the Tailor-made Medical Treatment Program (BioBank Japan: BBJ)

Datasets

Dataset ID
Access type
Type of data
Release date
hum0014.v1.freq.v1Unrestricted-accessGWAS for MI2014-09-30
hum0014.v2.jsnp.934ctrl.v1Unrestricted-accessGenotype frequencies in 934 healthy individuals (JSNP data)2015-12-28
hum0014.v2.jsnp.lc.v1Unrestricted-accessGenotype frequencies in each disease (JSNP data)2015-12-28
hum0014.v2.jsnp.bc.v1Unrestricted-accessGenotype frequencies in each disease (JSNP data)2015-12-28
hum0014.v2.jsnp.sc.v1Unrestricted-accessGenotype frequencies in each disease (JSNP data)2015-12-28
hum0014.v2.jsnp.cc.v1Unrestricted-accessGenotype frequencies in each disease (JSNP data)2015-12-28
hum0014.v2.jsnp.pc.v1Unrestricted-accessGenotype frequencies in each disease (JSNP data)2015-12-28
hum0014.v2.jsnp.hf.v1Unrestricted-accessGenotype frequencies in each disease (JSNP data)2015-12-28
hum0014.v2.jsnp.mi.v1Unrestricted-accessGenotype frequencies in each disease (JSNP data)2015-12-28
hum0014.v2.jsnp.ua.v1Unrestricted-accessGenotype frequencies in each disease (JSNP data)2015-12-28
hum0014.v2.jsnp.sa.v1Unrestricted-accessGenotype frequencies in each disease (JSNP data)2015-12-28
hum0014.v2.jsnp.ar.v1Unrestricted-accessGenotype frequencies in each disease (JSNP data)2015-12-28
hum0014.v2.jsnp.aso.v1Unrestricted-accessGenotype frequencies in each disease (JSNP data)2015-12-28
hum0014.v2.jsnp.ci.v1Unrestricted-accessGenotype frequencies in each disease (JSNP data)2015-12-28
hum0014.v2.jsnp.ca.v1Unrestricted-accessGenotype frequencies in each disease (JSNP data)2015-12-28
hum0014.v2.jsnp.ip.v1Unrestricted-accessGenotype frequencies in each disease (JSNP data)2015-12-28
hum0014.v2.jsnp.pe.v1Unrestricted-accessGenotype frequencies in each disease (JSNP data)2015-12-28
hum0014.v2.jsnp.ba.v1Unrestricted-accessGenotype frequencies in each disease (JSNP data)2015-12-28
hum0014.v2.jsnp.chc.v1Unrestricted-accessGenotype frequencies in each disease (JSNP data)2015-12-28
hum0014.v2.jsnp.hc.v1Unrestricted-accessGenotype frequencies in each disease (JSNP data)2015-12-28
hum0014.v2.jsnp.cat.v1Unrestricted-accessGenotype frequencies in each disease (JSNP data)2015-12-28
hum0014.v2.jsnp.gla.v1Unrestricted-accessGenotype frequencies in each disease (JSNP data)2015-12-28
hum0014.v2.jsnp.ep.v1Unrestricted-accessGenotype frequencies in each disease (JSNP data)2015-12-28
hum0014.v2.jsnp.pd.v1Unrestricted-accessGenotype frequencies in each disease (JSNP data)2015-12-28
hum0014.v2.jsnp.us.v1Unrestricted-accessGenotype frequencies in each disease (JSNP data)2015-12-28
hum0014.v2.jsnp.ns.v1Unrestricted-accessGenotype frequencies in each disease (JSNP data)2015-12-28
hum0014.v2.jsnp.uf.v1Unrestricted-accessGenotype frequencies in each disease (JSNP data)2015-12-28
hum0014.v2.jsnp.em.v1Unrestricted-accessGenotype frequencies in each disease (JSNP data)2015-12-28
hum0014.v2.jsnp.op.v1Unrestricted-accessGenotype frequencies in each disease (JSNP data)2015-12-28
hum0014.v2.jsnp.ra.v1Unrestricted-accessGenotype frequencies in each disease (JSNP data)2015-12-28
hum0014.v2.jsnp.als.v1Unrestricted-accessGenotype frequencies in each disease (JSNP data)2015-12-28
hum0014.v2.jsnp.hay.v1Unrestricted-accessGenotype frequencies in each disease (JSNP data)2015-12-28
hum0014.v2.jsnp.ad.v1Unrestricted-accessGenotype frequencies in each disease (JSNP data)2015-12-28
hum0014.v2.jsnp.de.v1Unrestricted-accessGenotype frequencies in each disease (JSNP data)2015-12-28
hum0014.v2.jsnp.hl.v1Unrestricted-accessGenotype frequencies in each disease (JSNP data)2015-12-28
hum0014.v2.jsnp.dm.v1Unrestricted-accessGenotype frequencies in each disease (JSNP data)2015-12-28
hum0014.v2.jsnp.gd.v1Unrestricted-accessGenotype frequencies in each disease (JSNP data)2015-12-28
hum0014.v2.jsnp.182ec.v1Unrestricted-accessGenotype frequencies in 182 esophageal cancer patients (JSNP data)2015-12-28
hum0014.v2.jsnp.92als.v1Unrestricted-accessGenotype frequencies in 92 amyotrophic lateral sclerosis (ALS) patients (JSNP data)2015-12-28
hum0014.v3.T2DM-1.v1Unrestricted-accessGWAS for T2DM [1]2016-01-28
hum0014.v3.T2DM-2.v1Unrestricted-accessGWAS for T2DM [2]2016-01-28
hum0014.v4.AD.v1Unrestricted-accessGWAS for AD2016-02-02
JGAD000101Controlled-access (Type I)Genotype and phenotype data for 8180 AF patients2020-09-28
JGAD000102Controlled-access (Type I)Genotype and phenotype data for 8180 AF patients2020-09-28
hum0014.v5.AF.v1Unrestricted-accessGWAS for AF2017-05-18
JGAD000124Controlled-access (Type I)BMI data for 158,284 individuals Genotype data for 182,505 individuals2020-09-28
JGAD000123Controlled-access (Type I)BMI data for 158,284 individuals Genotype data for 182,505 individuals2020-09-28
hum0014.v6.158k.v1Unrestricted-accessGWAS for BMI2017-09-08
JGAD000144Controlled-access (Type I)BMI data for 158,284 individuals Genotype data for 182,505 individuals2020-09-28
JGAD000145Controlled-access (Type I)BMI data for 158,284 individuals Genotype data for 182,505 individuals2020-09-28
JGAD000146Controlled-access (Type I)BMI data for 158,284 individuals Genotype data for 182,505 individuals2020-09-28
JGAD000147Controlled-access (Type I)BMI data for 158,284 individuals Genotype data for 182,505 individuals2020-09-28
JGAD000148Controlled-access (Type I)BMI data for 158,284 individuals Genotype data for 182,505 individuals2020-09-28
JGAD000149Controlled-access (Type I)BMI data for 158,284 individuals Genotype data for 182,505 individuals2020-09-28
JGAD000150Controlled-access (Type I)BMI data for 158,284 individuals Genotype data for 182,505 individuals2020-09-28
JGAD000151Controlled-access (Type I)BMI data for 158,284 individuals Genotype data for 182,505 individuals2020-09-28
JGAD000152Controlled-access (Type I)BMI data for 158,284 individuals Genotype data for 182,505 individuals2020-09-28
JGAD000153Controlled-access (Type I)BMI data for 158,284 individuals Genotype data for 182,505 individuals2020-09-28
JGAD000154Controlled-access (Type I)BMI data for 158,284 individuals Genotype data for 182,505 individuals2020-09-28
JGAD000155Controlled-access (Type I)BMI data for 158,284 individuals Genotype data for 182,505 individuals2020-09-28
JGAD000156Controlled-access (Type I)BMI data for 158,284 individuals Genotype data for 182,505 individuals2020-09-28
JGAD000157Controlled-access (Type I)BMI data for 158,284 individuals Genotype data for 182,505 individuals2020-09-28
JGAD000158Controlled-access (Type I)BMI data for 158,284 individuals Genotype data for 182,505 individuals2020-09-28
JGAD000159Controlled-access (Type I)BMI data for 158,284 individuals Genotype data for 182,505 individuals2020-09-28
JGAD000160Controlled-access (Type I)BMI data for 158,284 individuals Genotype data for 182,505 individuals2020-09-28
JGAD000161Controlled-access (Type I)BMI data for 158,284 individuals Genotype data for 182,505 individuals2020-09-28
JGAD000162Controlled-access (Type I)BMI data for 158,284 individuals Genotype data for 182,505 individuals2020-09-28
JGAD000163Controlled-access (Type I)BMI data for 158,284 individuals Genotype data for 182,505 individuals2020-09-28
JGAD000164Controlled-access (Type I)BMI data for 158,284 individuals Genotype data for 182,505 individuals2020-09-28
JGAD000165Controlled-access (Type I)BMI data for 158,284 individuals Genotype data for 182,505 individuals2020-09-28
JGAD000166Controlled-access (Type I)BMI data for 158,284 individuals Genotype data for 182,505 individuals2020-09-28
JGAD000167Controlled-access (Type I)BMI data for 158,284 individuals Genotype data for 182,505 individuals2020-09-28
JGAD000168Controlled-access (Type I)BMI data for 158,284 individuals Genotype data for 182,505 individuals2020-09-28
JGAD000169Controlled-access (Type I)BMI data for 158,284 individuals Genotype data for 182,505 individuals2020-09-28
JGAD000170Controlled-access (Type I)BMI data for 158,284 individuals Genotype data for 182,505 individuals2020-09-28
JGAD000171Controlled-access (Type I)BMI data for 158,284 individuals Genotype data for 182,505 individuals2020-09-28
JGAD000172Controlled-access (Type I)BMI data for 158,284 individuals Genotype data for 182,505 individuals2020-09-28
JGAD000173Controlled-access (Type I)BMI data for 158,284 individuals Genotype data for 182,505 individuals2020-09-28
JGAD000174Controlled-access (Type I)BMI data for 158,284 individuals Genotype data for 182,505 individuals2020-09-28
JGAD000175Controlled-access (Type I)BMI data for 158,284 individuals Genotype data for 182,505 individuals2020-09-28
JGAD000176Controlled-access (Type I)BMI data for 158,284 individuals Genotype data for 182,505 individuals2020-09-28
JGAD000177Controlled-access (Type I)BMI data for 158,284 individuals Genotype data for 182,505 individuals2020-09-28
JGAD000178Controlled-access (Type I)BMI data for 158,284 individuals Genotype data for 182,505 individuals2020-09-28
JGAD000179Controlled-access (Type I)BMI data for 158,284 individuals Genotype data for 182,505 individuals2020-09-28
JGAD000180Controlled-access (Type I)BMI data for 158,284 individuals Genotype data for 182,505 individuals2020-09-28
JGAD000181Controlled-access (Type I)BMI data for 158,284 individuals Genotype data for 182,505 individuals2020-09-28
JGAD000182Controlled-access (Type I)BMI data for 158,284 individuals Genotype data for 182,505 individuals2020-09-28
JGAD000183Controlled-access (Type I)BMI data for 158,284 individuals Genotype data for 182,505 individuals2020-09-28
JGAD000184Controlled-access (Type I)BMI data for 158,284 individuals Genotype data for 182,505 individuals2020-09-28
JGAD000185Controlled-access (Type I)BMI data for 158,284 individuals Genotype data for 182,505 individuals2020-09-28
JGAD000186Controlled-access (Type I)BMI data for 158,284 individuals Genotype data for 182,505 individuals2020-09-28
JGAD000187Controlled-access (Type I)BMI data for 158,284 individuals Genotype data for 182,505 individuals2020-09-28
JGAD000188Controlled-access (Type I)BMI data for 158,284 individuals Genotype data for 182,505 individuals2020-09-28
JGAD000189Controlled-access (Type I)BMI data for 158,284 individuals Genotype data for 182,505 individuals2020-09-28
JGAD000190Controlled-access (Type I)BMI data for 158,284 individuals Genotype data for 182,505 individuals2020-09-28
JGAD000191Controlled-access (Type I)BMI data for 158,284 individuals Genotype data for 182,505 individuals2020-09-28
JGAD000192Controlled-access (Type I)BMI data for 158,284 individuals Genotype data for 182,505 individuals2020-09-28
JGAD000193Controlled-access (Type I)BMI data for 158,284 individuals Genotype data for 182,505 individuals2020-09-28
JGAD000194Controlled-access (Type I)BMI data for 158,284 individuals Genotype data for 182,505 individuals2020-09-28
JGAD000195Controlled-access (Type I)BMI data for 158,284 individuals Genotype data for 182,505 individuals2020-09-28
JGAD000196Controlled-access (Type I)BMI data for 158,284 individuals Genotype data for 182,505 individuals2020-09-28
JGAD000197Controlled-access (Type I)BMI data for 158,284 individuals Genotype data for 182,505 individuals2020-09-28
JGAD000198Controlled-access (Type I)BMI data for 158,284 individuals Genotype data for 182,505 individuals2020-09-28
JGAD000199Controlled-access (Type I)BMI data for 158,284 individuals Genotype data for 182,505 individuals2020-09-28
JGAD000200Controlled-access (Type I)BMI data for 158,284 individuals Genotype data for 182,505 individuals2020-09-28
JGAD000201Controlled-access (Type I)BMI data for 158,284 individuals Genotype data for 182,505 individuals2020-09-28
JGAD000220Controlled-access (Type I)BMI data for 158,284 individuals Genotype data for 182,505 individuals2020-09-28
JGAD000410Controlled-access (Type I)BMI data for 158,284 individuals Genotype data for 182,505 individuals2021-06-21
JGAD000430Controlled-access (Type I)BMI data for 158,284 individuals Genotype data for 182,505 individuals2021-09-15
JGAD000679Controlled-access (Type I)BMI data for 158,284 individuals Genotype data for 182,505 individuals2023-01-26
JGAD000690Controlled-access (Type I)BMI data for 158,284 individuals Genotype data for 182,505 individuals2023-07-29
JGAD000758Controlled-access (Type I)BMI data for 158,284 individuals Genotype data for 182,505 individuals2023-07-29
JGAD000867Controlled-access (Type I)BMI data for 158,284 individuals Genotype data for 182,505 individuals2024-09-04
JGAD000885Controlled-access (Type I)BMI data for 158,284 individuals Genotype data for 182,505 individuals2024-10-24
hum0014.v7.POAG.v1Unrestricted-accessGWAS for POAG2018-04-04
hum0014.v8.58qt.v1Unrestricted-accessGWAS for 58 quantitative traits2018-05-01
hum0014.v9.Men.v1Unrestricted-accessGWAS for age at menarche and menopause2018-08-07
hum0014.v9.MP.v1Unrestricted-accessGWAS for age at menarche and menopause2018-08-07
JGAD000209Controlled-access (Type I)target sequencing of 11 hereditary breast cancer genes in 7,104 breast cancer patients and 23,731 controls2020-09-28
hum0014.v12.T2DMwN.v1Unrestricted-accessmeta analysis of 2 GWASs for T2DM with diabetic nephropathy2018-12-10
hum0014.v13.T2DMmeta.v1Unrestricted-accessmeta analysis of 4 GWASs for T2DM2019-01-25
hum0014.v14.smok.v1Unrestricted-accessGWAS for smoking behaviour2019-03-26
hum0014.v14.asi.v1Unrestricted-accessGWAS for smoking behaviour2019-03-26
hum0014.v14.cpd.v1Unrestricted-accessGWAS for smoking behaviour2019-03-26
hum0014.v14.ens.v1Unrestricted-accessGWAS for smoking behaviour2019-03-26
hum0014.v14.fcs.v1Unrestricted-accessGWAS for smoking behaviour2019-03-26
hum0014.v15.ht.v1Unrestricted-accessGWAS for height2019-09-27
JGAD000288Controlled-access (Type I)target sequencing of 8 hereditary prostate cancer genes in 7,636 prostate cancer patients and 12,366 controls2020-09-28
hum0014.v17.AR.v1Unrestricted-accessGWAS for 40 diseases2019-10-08
hum0014.v17.BA.v1Unrestricted-accessGWAS for 40 diseases2019-10-08
hum0014.v17.AD.v1Unrestricted-accessGWAS for 40 diseases2019-10-08
hum0014.v17.GCc.v1Unrestricted-accessGWAS for 40 diseases2019-10-08
hum0014.v17.Cat.v1Unrestricted-accessGWAS for 40 diseases2019-10-08
hum0014.v17.CA.v1Unrestricted-accessGWAS for 40 diseases2019-10-08
hum0014.v17.CeC.v1Unrestricted-accessGWAS for 40 diseases2019-10-08
hum0014.v17.CHB.v1Unrestricted-accessGWAS for 40 diseases2019-10-08
hum0014.v17.CHC.v1Unrestricted-accessGWAS for 40 diseases2019-10-08
hum0014.v17.COPD.v1Unrestricted-accessGWAS for 40 diseases2019-10-08
hum0014.v17.Cir.v1Unrestricted-accessGWAS for 40 diseases2019-10-08
hum0014.v17.CC.v1Unrestricted-accessGWAS for 40 diseases2019-10-08
hum0014.v17.HF.v1Unrestricted-accessGWAS for 40 diseases2019-10-08
hum0014.v17.DE.v1Unrestricted-accessGWAS for 40 diseases2019-10-08
hum0014.v17.UC.v1Unrestricted-accessGWAS for 40 diseases2019-10-08
hum0014.v17.EM.v1Unrestricted-accessGWAS for 40 diseases2019-10-08
hum0014.v17.Ep.v1Unrestricted-accessGWAS for 40 diseases2019-10-08
hum0014.v17.EC.v1Unrestricted-accessGWAS for 40 diseases2019-10-08
hum0014.v17.GC.v1Unrestricted-accessGWAS for 40 diseases2019-10-08
hum0014.v17.Gla.v1Unrestricted-accessGWAS for 40 diseases2019-10-08
hum0014.v17.GD.v1Unrestricted-accessGWAS for 40 diseases2019-10-08
hum0014.v17.HT.v1Unrestricted-accessGWAS for 40 diseases2019-10-08
hum0014.v17.LiC.v1Unrestricted-accessGWAS for 40 diseases2019-10-08
hum0014.v17.IP.v1Unrestricted-accessGWAS for 40 diseases2019-10-08
hum0014.v17.CI.v1Unrestricted-accessGWAS for 40 diseases2019-10-08
hum0014.v17.Kel.v1Unrestricted-accessGWAS for 40 diseases2019-10-08
hum0014.v17.LuC.v1Unrestricted-accessGWAS for 40 diseases2019-10-08
hum0014.v17.NS.v1Unrestricted-accessGWAS for 40 diseases2019-10-08
hum0014.v17.OP.v1Unrestricted-accessGWAS for 40 diseases2019-10-08
hum0014.v17.OC.v1Unrestricted-accessGWAS for 40 diseases2019-10-08
hum0014.v17.PaC.v1Unrestricted-accessGWAS for 40 diseases2019-10-08
hum0014.v17.PD.v1Unrestricted-accessGWAS for 40 diseases2019-10-08
hum0014.v17.PAD.v1Unrestricted-accessGWAS for 40 diseases2019-10-08
hum0014.v17.Hay.v1Unrestricted-accessGWAS for 40 diseases2019-10-08
hum0014.v17.PrC.v1Unrestricted-accessGWAS for 40 diseases2019-10-08
hum0014.v17.PT.v1Unrestricted-accessGWAS for 40 diseases2019-10-08
hum0014.v17.RA.v1Unrestricted-accessGWAS for 40 diseases2019-10-08
hum0014.v17.DM.v1Unrestricted-accessGWAS for 40 diseases2019-10-08
hum0014.v17.Uro.v1Unrestricted-accessGWAS for 40 diseases2019-10-08
hum0014.v17.UF.v1Unrestricted-accessGWAS for 40 diseases2019-10-08
hum0014.v18.BC.v1Unrestricted-accessGWAS for 40 diseases2019-10-08
hum0014.v21.CAD.v1Unrestricted-accessGWAS for 40 diseases2019-10-08
hum0014.v19.drink.v1Unrestricted-accessGWAS for dietary habits2020-04-20
hum0014.v19.dpw.v1Unrestricted-accessGWAS for dietary habits2020-04-20
hum0014.v19.cafe.v1Unrestricted-accessGWAS for dietary habits2020-04-20
hum0014.v19.tea.v1Unrestricted-accessGWAS for dietary habits2020-04-20
hum0014.v19.milk.v1Unrestricted-accessGWAS for dietary habits2020-04-20
hum0014.v19.ygt.v1Unrestricted-accessGWAS for dietary habits2020-04-20
hum0014.v19.cheese.v1Unrestricted-accessGWAS for dietary habits2020-04-20
hum0014.v19.natto.v1Unrestricted-accessGWAS for dietary habits2020-04-20
hum0014.v19.tofu.v1Unrestricted-accessGWAS for dietary habits2020-04-20
hum0014.v19.fish.v1Unrestricted-accessGWAS for dietary habits2020-04-20
hum0014.v19.sfish.v1Unrestricted-accessGWAS for dietary habits2020-04-20
hum0014.v19.vege.v1Unrestricted-accessGWAS for dietary habits2020-04-20
hum0014.v19.meat.v1Unrestricted-accessGWAS for dietary habits2020-04-20
hum0014.v20.cad.v1Unrestricted-accessGWAS for coronary artery disease2020-08-17
hum0014.v20.gwas.v1Unrestricted-accessGWAS for coronary artery disease2020-08-17
hum0014.v20.prs.v1Unrestricted-accessGWAS for coronary artery disease2020-08-17
JGAD000399Controlled-access (Type I)target sequencing of 23 genes related to clonal hematopoiesis and SNP array in 11,234 subjects extracted from approximately 200,000 subjects registered in Biobank Japan between fiscal years 2003 to 20072021-05-21
JGAD000400Controlled-access (Type I)target sequencing of 23 genes related to clonal hematopoiesis and SNP array in 11,234 subjects extracted from approximately 200,000 subjects registered in Biobank Japan between fiscal years 2003 to 20072021-05-21
JGAD000438Controlled-access (Type I)target sequencing of 27 cancer-predisposing genes in 1,005 pancreatic cancer patients2021-12-24
JGAD000458Controlled-access (Type I)target sequencing of 27 cancer-predisposing genes in 12,503 colorectal cancer patients and 23,705 controls2021-12-28
JGAD000459Controlled-access (Type I)target sequencing of 27 cancer-predisposing genes in 12,503 colorectal cancer patients and 23,705 controls2021-12-28
JGAD000531Controlled-access (Type I)target sequencings of 27 cancer-predisposing genes and 13 renal cell carcinoma-related genes in 740 renal cell cancer patients and 5,996 controls2022-04-07
JGAD000460Controlled-access (Type I)target sequencing of 27 cancer-predisposing genes in 1,982 lymphoma patients2023-05-01
JGAD000720Controlled-access (Type I)target sequencing of 27 cancer-predisposing genes in 10,366 gastric cancer patients2023-05-01
JGAD000721Controlled-access (Type I)target sequencing of 27 cancer-predisposing genes in 10,366 gastric cancer patients2023-05-01
JGAD000461Controlled-access (Type I)target sequencing of 27 cancer-predisposing genes in 1,982 lymphoma patients2023-05-01
JGAD000495Controlled-access (Type I)WGS for 1,765 myocardial infarction patients and 199 dementia patients2022-01-27
JGAD000496Controlled-access (Type I)WGS for 1,765 myocardial infarction patients and 199 dementia patients2022-01-27
JGAD000868Controlled-access (Type I)WGS for 1,765 myocardial infarction patients and 199 dementia patients2024-08-28
JGAD000893Controlled-access (Type I)WGS for 1,765 myocardial infarction patients and 199 dementia patients2024-10-18
hum0014.v27.surv.v1Unrestricted-accessGWAS for survival time in 137,693 individuals from BBJ 1st cohort2022-12-31
hum0014.v28.MEs.v1Unrestricted-accessmobile element variations in 4,880 individuals from BBJ 1st cohort2023-04-05
hum0014.v29.AF.v1Unrestricted-accessGWAS for 9,826 AF patients and 140,446 controls from BBJ 1st cohort GWAS meta-analysis for 77,690 AF patients and 1,167,040 controls2023-04-05
JGAD000777Controlled-access (Type I)WGS for 1,007 individuals2023-11-09

Data provider

    Representative
    Michiaki Kubo
    Organiation
    RIKEN Center for Integrative Medical Sciences

Research projects

Name
URL
Tailor-made Medical Treatment Program (Bio Bank Japan: BBJ)https://biobankjp.org/en

Grants

Name
Title
Project number
Core Research and Evolutional Science and Technology, Advanced Research & Development Programs for Medical Innovation, Japan Agency for Medical Research and Development (AMED-CREST)Research on altered tissue functions caused by clonal expansion and remodeling of apparently normal tissues related to normal aging or exposure to chronic inflammation and other lifestyles
  • JP19gm1110011
KAKENHI Grant-in-Aid for Scientific Research (S)Comprehensive studies on the molecular basis of early development and clonal evolution in cancer using advanced genomics.
  • 19H05656
Program for Promoting Platform of Genomics based Drug Discovery, Project for Genome and Health Related Data, Japan Agency for Medical Research and Development (AMED)Development of a large-scale database for effective drug treatment for breast, colorectal, and pancreas cancers
  • JP19kk0305010
KAKENHI Grant-in-Aid for Early-Career ScientistsGenome-wide association study integrating mobile genetic elements
  • 22K15385
KAKENHI Grant-in-Aid for Scientific Research (B)Elucidation of genetic factors that define myocardial vulnerability as a basis for the development of heart failure
  • 21H02919
KAKENHI Grant-in-Aid for Scientific Research (S)Genome immunity: elucidation of the antiviral activity of endogenous bornaviruses and their utilization as functional resources
  • 20H05682
KAKENHI Grant-in-Aid for Scientific Research (B)Integration and reactivation of human herpesvirus 6: association with diseases
  • 21H02972
Biobank - Construction and Utilization biobank for genomic medicine REalization (B-Cure), Japan Agency for Medical Research and Development (AMED)Management of the Japanese biobank
  • JP19km0605001
Practical Research Project for Life-Style related Diseases including Cardiovascular Diseases and Diabetes Mellitus, Japan Agency for Medical Research and Development (AMED)Multi-layered and integrated research for prevention of atrial fibrillation and serious complications
  • JP22ek0210164
Biobank - Construction and Utilization biobank for genomic medicine REalization, Japan Agency for Medical Research and Development (AMED)Understanding pathogenesis of atrial fibrillation and implementation of precision medicine by WGS and multi-omics
  • JP21tm0724601
Biobank - Construction and Utilization biobank for genomic medicine REalization, Japan Agency for Medical Research and Development (AMED)Implementation of next-generation precision medicine for cardiovascular disease by multi-omics
  • JP20km0405209
Practical Research Project for Rare / Intractable Diseases, Japan Agency for Medical Research and Development (AMED)Understanding pathology and implementation of precision medicine for intractable cardiovascular disease by multi-omics analysis
  • JP20ek0109487
Basis for Supporting Innovative Drug Discovery and Life Science Research (BINDS), Japan Agency for Medical Research and Development (AMED)Support for large-scale functional genomics and development for the platform of evaluating functions of human immunological systems
  • JP22ama121015
Practical Research for Innovative Cancer Control, Japan Agency for Medical Research and Development (AMED)Risk estimation of each cancer risk by integrating genetic, environmental, and lifestyle factors in 140,000 samples of 23 cancer types
  • JP23ck0106805
BioBank Japan Project for Genomic and Clinical Research, Japan Agency for Medical Research and Development (AMED)Management of the Japanese biobank
  • JP23tm0624002
Ministry of Education, Culture, Sports, Science and Technology in JapanTailor-made Medical Treatment Program (the 3rd phase)
    Tailor-Made Medical Treatment with the BioBank Japan Project (BBJ), Japan Agency for Medical Research and Development (AMED)Generating large-scale data of genetic polymorphism to identify disease-related genes
    • JP17km0305002
    Project for Cancer Research and Therapeutic Evolution (P-CREATE), Japan Agency for Medical Research and Development (AMED)Exploration of special and temporal diversity in genome and epigenome of hematological malignancies based on large-scale sequencing analyses.
    • JP19cm010650

    Related publications

    Title
    DOI
    Datasets
    A genome-wide association study identifies PLCL2 and AP3D1-DOT1L-SF3A2 as new susceptibility loci for myocardial infarction in Japanese.https://doi.org/10.1038/ejhg.2014.110
    A functional variant in ZNF512B is associated with susceptibility to amyotrophic lateral sclerosis in Japanese.https://doi.org/10.1093/hmg/ddr268
    Functional variants in ADH1B and ALDH2 coupled with alcohol and smoking synergistically enhance esophageal cancer risk.https://doi.org/10.1053/j.gastro.2009.07.070
    SNPs in KCNQ1 are associated with susceptibility to type 2 diabetes in East Asian and European populations.https://doi.org/10.1038/ng.208
    Common variants in a novel gene, FONG on chromosome 2q33.1 confer risk of osteoporosis in Japanese.https://doi.org/10.1371/journal.pone.0019641
    Genome-wide association studies in the Japanese population identify seven novel loci for type 2 diabetes.https://doi.org/10.1038/ncomms10531
    Multi-ancestry genome-wide association study of 21,000 cases and 95,000 controls identifies new risk loci for atopic dermatitis.https://doi.org/10.1038/ng.3424
    Genome-wide association study identifies eight new susceptibility loci for atopic dermatitis in the Japanese population.https://doi.org/10.1038/ng.2438
    Identification of six new genetic loci associated with atrial fibrillation in the Japanese population.https://doi.org/10.1038/ng.3842
    Genome-wide association study identifies 112 new loci for body mass index in the Japanese population.https://doi.org/10.1038/ng.3951
    Genome-wide association study identifies seven novel susceptibility loci for primary open-angle glaucoma.https://doi.org/10.1093/hmg/ddy053
    Genetic analysis of quantitative traits in the Japanese population links cell types to complex human diseases.https://doi.org/10.1038/s41588-018-0047-6
    Elucidating the genetic architecture of reproductive ageing in the Japanese populationhttps://doi.org/10.1038/s41467-018-04398-z
    Deep whole-genome sequencing reveals recent selection signatures linked to evolution and disease risk of Japanese.https://doi.org/10.1038/s41467-018-03274-0
    Germline pathogenic variants of 11 breast cancer genes in 7,051 Japanese patients and 11,241 controls.https://doi.org/10.1038/s41467-018-06581-8
    A Variant within the FTO confers susceptibility to diabetic nephropathy in Japanese patients with type 2 diabeteshttps://doi.org/10.1371/journal.pone.0208654
    Identification of 28 new susceptibility loci for type 2 diabetes in the Japanese populationhttps://doi.org/10.1038/s41588-018-0332-4
    GWAS of smoking behaviour in 165,436 Japanese people reveals seven new loci and shared genetic architecture.https://doi.org/10.1038/s41562-019-0557-y
    Characterizing rare and low-frequency height-asssociated variants in the Japanese populationhttps://doi.org/10.1038/s41467-019-12276-5
    Germline pathogenic variants in 7,636 Japanese patients with prostate cancer and 12,366 controls.https://doi.org/10.1093/jnci/djz124
    Large-scale genome-wide association study in a Japanese population identifies novel susceptibility loci across different diseaseshttps://doi.org/10.1038/s41588-020-0640-3
    GWAS of 165,084 Japanese individuals identified nine loci associated with dietary habitshttps://doi.org/10.1038/s41562-019-0805-1
    Population-specific and transethnic genome-wide analyses identify distinct and shared genetic risk loci for coronary artery disease.https://doi.org/10.1038/s41588-020-0705-3
    Genetic characterization of pancreatic cancer patients and prediction of carrier status of germline pathogenic variants in cancer-predisposing geneshttps://doi.org/10.1016/j.ebiom.2020.103033
    Population-based Screening for Hereditary Colorectal Cancer Variants in Japanhttps://doi.org/10.1016/j.cgh.2020.12.007
    Genome-wide association study reveals BET1L associated with survival time in the 137,693 Japanese individualshttps://doi.org/10.1038/s42003-023-04491-0
    Cross-ancestry genome-wide analysis of atrial fibrillation unveils disease biology and enables cardioembolic risk predictionhttps://doi.org/10.1038/s41588-022-01284-9
    Association between germline pathogenic variants in cancer-predisposing genes and lymphoma riskhttps://doi.org/10.1111/cas.15522
    Helicobacter pylori, Homologous-Recombination Genes, and Gastric Cancerhttps://doi.org/10.1056/nejmoa2211807
    Germ line DDX41 mutations define a unique subtype of myeloid neoplasmshttps://doi.org/10.1182/blood.2022018221
    Combined landscape of single-nucleotide variants and copy number alterations in clonal hematopoiesishttps://doi.org/10.1038/s41591-021-01411-9
    Characterizing rare and low-frequency height-associated variants in the Japanese populationhttps://doi.org/10.1038/s41467-019-12276-5
    Chromosomal alterations among age-related haematopoietic clones in Japanhttps://doi.org/10.1038/s41586-020-2426-2
    Detection of trait-associated structural variations using short-read sequencinghttps://doi.org/10.1016/j.xgen.2023.100328
    Population-specific non-coding and coding putative causal variants shape quantitative traitshttps://doi.org/10.1038/s41588-024-01913-5
    Population-specific reference panel improves imputation quality for genome-wide association studies conducted on the Japanese population

    Controlled access users

    Name
    Organiation
    Country
    Research title
    Period of data use
    Datasets
    Fujimoto AkihiroThe University of TokyoJapanComprehensive analysis of mutations and genetic diversity by analyzing whole-genome sequence data2021-09-212024-12-02
    Arita MasanoriNational Institute of GeneticsJapanProvision of processed JGA data analyzed by DDBJ Center and NBDC2021-10-072030-03-31
    Dixit AtrayCoral Genomics, Inc.USADerivation and Evaluation of Functional Response Scores2020-08-242022-01-17
    Kawakami AtsushiNagasaki UniversityJapanAn exploratory study to determine the genetic polymorphisms or mutations associated with type 1 diabetes and interstitial lung disease induced by immune checkpoint inhibitor; nivolumab2021-06-162024-04-02
    Ono AtsushiHiroshima UniversityJapanUtilizing Genomic Information to Address Challenges in Liver Diseases2025-06-252034-03-31
    Chiang CharlestonUniversity of Southern CaliforniaUSAInvestigating the evolution of complex genetic architecture in participants of Biobank Japan2022-03-032030-07-01
    Chihiro HataNational Institute of GeneticsJapanIdentification of hypomorphic mutations in Japanese breast cancer patients2020-06-042028-03-31
    Sato NorikoTokyo Medical and Dental UniversityJapanAnalysis of genetic and environmental risks of obesity and diabetes based on regional cohort longitudinal data2021-04-132022-03-17
    Noguchi EmikoUniversity of TsukubaJapanGenetic and protein analysis of allergic diseases and allergic rhinitis.2021-03-262032-03-31
    FUJIO KEISHIUniversity of TokyoJapanIntegrative analysis of immune-cell eQTL data and large-scaled GWAS data in Japanese2020-12-162026-04-01
    Matsuda FumihikoKyoto UniversityJapanElucidation of Japanese genetic diversity2021-02-082028-03-31
    McVean GilGenomics plcUnited KingdomUsing large-scale reference panels for imputation and ancestry analysis to support target discovery and polygenic risk score models2022-07-192025-07-23
    Im Hae KyungUniversity of ChicagoUSAPredicted Gene Expression: High Power, Mechanism, and Direction of Effect2020-09-152023-11-06
    Mishima HiroyukiNagasaki UniversityJapanDevelopment of Methods to Mitigate Batch Effects in Human Whole Genome Sequencing2024-04-162027-03-31
    Nakaoka HirofumiKagoshima University Graduate School of Medical and Dental SciencesJapanAnalysis of hypomorphic variants in breast cancer-associated genes by using large-scale sequencing data sets2022-08-182030-03-31
    Zhao HongyuYale School of Public HealthUSALeveraging multi-ethnic data and functional annotations in casual variant identification, genetic correlation estimation, and genetic risk prediction2024-12-252030-03-01
    Ikeda MasashiFujita Health University School of MedicineJapanResearch for investigating susceptibility of mental state, mental disorders, drug efficacy and side effects through genetic analysis2020-08-172024-07-22
    Iwata NakaoFujita Health University School of MedicineJapanResearch for investigating susceptibility of mental state, mental disorders, drug efficacy and side effects through genetic analysis2020-08-172024-07-22
    Chiou JoshuaPfizerUSAEvaluating GWAS associations from Biobank Japan to Support Confidence in Rationale for Therapeutic Targets2022-02-032025-12-22
    Huang JianAgency for Science, Technology and Research (A*STAR)SingaporeMulti-omic causal inference strategy for drug repurposing and pharmacovigilance across the lifespan2026-04-132028-03-31
    Kamitsuji ShigeoStaGen Co., Ltd.JapanGenome-Wide Association Study to identify genetic factors for strabismus in Japanese population2018-10-042027-02-28
    Kikuchi MasatakaNiigata UniversityJapanImputation analysis using a Japanese reference panel2020-12-162025-10-09
    Matsuda KoichiThe University of TokyoJapanDisease Cohort Research Network for Disease Marker Exploratory Studies2024-06-172029-03-31
    Shiraishi KouyaNational Cancer Center Research InstituteJapanElucidation of immune-system networks between host and tumor based on genomic analysis2019-08-052029-03-31
    Tokunaga KatsushiJapan Institute for Health Security, National Institute of Global Health and MedicineJapanDevelopment and application of bioinformatics methods to facilitate the detection of genes associated with multifactorial disorders based on large-scale whole genome sequencing data in Japanese individuals2018-11-132027-03-31
    Yamazaki KeikoChiba University Graduate School of MedicineJapanPrediction of effectiveness to molecular target drugs in Japanese patients with inflammatory bowel disease2022-11-152030-03-31
    Liang LimingHarvard T.H. Chan School of Public HealthUSAGenetic effect, genetic correlation and interaction with environmental exposure for complex traits and diseases across populations2019-01-212028-12-31
    Miyake MasahiroKyoto UniversityJapanGenetic research on ophthalmic diseases2025-06-022027-03-31
    Daly MarkBroad Institute of MIT and HarvardUSABioBank Japan (BBJ) Dataset2018-09-112028-07-31
    Nagasaki MasaoKyushu UniversityJapanDevelopment and application of bioinformatics methods to facilitate the detection of genes associated with multifactorial disorders based on large-scale whole genome sequencing data of Japanese individuals2019-01-312027-03-31
    Nakatochi MasahiroNagoya UniversityJapanResearch on elucidation of susceptibility to brain and mental diseases (vulnerability to disease onset) and efficacy and side effects of drugs (treatment responsiveness) through genetic analysis2024-08-272030-03-31
    Mushiroda TaiseiRIKEN Center for Integrative Medical SciencesJapanSearch of genomic biomarkers associated with drug-induced eruptions2021-03-262028-03-31
    Yamamoto MasayukiTohoku UniversityJapanConstruction of Japanese whole genome database2019-06-242022-04-15
    Kimura HirokiNagoya University Graduate school of medicineJapanResearch on elucidation of susceptibility to brain and mental illness (vulnerability to disease onset) and efficacy and side effects of drugs (treatment responsiveness) through genetic analysis2023-11-172028-10-28
    Lopez-Bigas NuriaInstitute for Research in Biomedicine (IRB Barcelona)SpainStudy of the genetic basis of clonal hematopoiesis2022-11-082027-09-12
    Kato NorihiroNational Center for Global Health and MedicineJapanStudy of genetic predisposition of primary aldosteronism and its clinical significance2024-06-242030-03-31
    Ogawa SeishiKyoto UniversityJapanAnalysis on the relationship between clonal hematopoiesis and COVID-19 infection.2019-02-042024-07-11
    Onouchi YoshihiroChiba University Graduate School of MedicineJapanA study of the genetic background of differences in antibody response to COVID-19 vaccine.2023-04-062030-03-31
    Ogasawara OsamuNational Institute of GeneticsJapanEvaluation of human genome analysis workflow using JGA/AGD genome data.2019-10-112024-07-05
    Kato MasakimissingJapanExploratory and validation study of genetic and biological factors for the development of precision medicine algorithms for psychiatric disorders.2023-08-252028-06-30
    kitoh ryosukeShinshu University School of MedicineJapanGenome-wide association study of the sudden sensorineural hearing loss2022-12-222027-03-31
    Horie ShigeoJuntendo University, Graduate School of MedicineJapanDisease risk analysis of mosaic loss of chromosome Y in blood cells2019-05-142029-03-31
    Ishikawa TaisukeKagoshima UniversityJapanElucidation of the genetic basis of arrhythmia syndromes2026-08-052029-03-31
    Nakashima TakuHiroshima UniversityJapanA Study on the Relationship Between Pulmonary Fibrosis and Clonal Hematopoiesis2025-12-112028-03-31
    Tsunoda TatsuhikoThe University of TokyoJapanResearch on sequence, image data analysis for precision medicine (9)2019-06-062023-08-29
    Terao ChikashiFujita Health UniversityJapanResearch on Personalized Medicine Leveraging Integrated Genomic Data2023-11-212026-07-10
    Terao ChikashiShizuoka General HospitalJapanInvestigation of Genetic Factors Associated with Human Phenotypic Traits2024-04-252028-12-03
    Kohno TakashiNational Cancer Center Research InstituteJapanIdentification of genetic risk factors in AYA(Adolescence and Young Adult) cancer2019-04-152029-03-31
    Matsuda TakashiAstellas Pharma Inc.JapanInvestigation of the correlation between Liver cancer/Hepatitis B and polymorphism2021-11-112022-08-01
    Ninomiya ToshiharuKyushu UniversityJapanJapan Prospective Studies Collaboration for Aging and Dementia (JPSC-AD)2021-12-132029-07-31
    Tsunoda TatsuhikoTokyo Medical andDental UniversityJapanResearch on sequence, image data analysis for precision medicine (9)2018-12-182023-08-29
    Masuko HironoriUniversity of TsukubaJapanSearch for susceptibility genes for chronic inflammatory airway diseases2021-08-162027-03-31
    Okazaki YasushiJuntendo UniversityJapanIdentification of disease biomarkers by disease cohort research network -Whole genome sequencing of epilepsy-2020-06-042023-06-30
    Asano YoshihiroOsaka UniversityJapanSensitive gene analysis of hereditary cardiovascular disease2021-07-262027-05-31
    mochida yasuhiroShonan Kamakura General HospitalJapanAssociation between Clonal hematopoiesis of indeterminate potential and Chronic Kidney Disease in Japanese cohort study2024-02-072027-03-31
    Nagata YasunobuNippon Medical SchoolJapanIdentification of the mechanisms for pathogenesis of hematologic tumors based on novel genetic abnormalities2021-06-082026-04-01
    Kawai YosukeThe University of TokyoJapanPopulation Genetic Analysis of the Origin of Japanese Populations2021-12-152026-01-22
    Okada YukinoriOsaka UniversityJapanElucidation of disease etiology by trans-layer omics analysis2018-09-202029-03-31
    Kawai YosukeNational Institute of GeneticsJapanLarge scale genome analysis of modern human genomes to infer the origin of Yaponesians2020-06-192028-03-31
    Yura KeiOchanomizu UniversityJapanData Analysis for Phenotype Prediction of Cancer Suppressor Gene BRCA1 variants2023-03-172028-03-31