Databases
List of published data in the NBDC
This table is scrollable→
As of 2023/8/17
This table is scrollable→
| Research ID | Project titles | Data Sources | Data ID | Description | Date Released |
|---|---|---|---|---|---|
| hum0014.v19 | Tailor-Made Medical Treatment with the BioBank Japan Project | Michiaki Kubo | hum0014.v1.freq.v1 | GWAS for myocardial infarction, composed of 1666 cases and 3198 healthy controls | 2014/9/30 |
| hum0014.v2.jsnp.934ctrl.v1 | Results of counting genotypes of 934 healthy individuals (Data in the JSNP) | 2015/12/28 | |||
| 35 diseases | Results of counting genotypes of 35 diseases, composed of about 190 cases in each disease (Data in the JSNP) | 2015/12/28 | |||
| hum0014.v2.jsnp.182ec.v1 | Results of counting genotypes of 182 cases with esophageal cancers (Data in the JSNP) | 2015/12/28 | |||
| hum0014.v2.jsnp.92als.v1 | Results of counting genotypes of 92 cases with amyotrophic lateral sclerosis (Data in the JSNP) | 2015/12/28 | |||
| hum0014.v3.T2DM-1.v1 | GWAS for type 2 diabetes, composed of 9817 cases and 6763 controls | 2016/1/28 | |||
| hum0014.v3.T2DM-2.v1 | GWAS for type 2 diabetes, composed of 5646 cases and 19,420 controls | 2016/1/28 | |||
| hum0014.v4.AD.v1 | GWAS for atopic dermatitis, composed of 1472 cases and 7966 controls | 2016/2/2 | |||
| hum0014.v5.AF.v1 | GWAS for patients with atrial fibrillation, composed of 8180 cases and 28,612 controls | 2017/5/18 | |||
| JGAS00000000101 | Phenotypic data and genotype data for 8180 patients with atrial fibrillation | 2017/5/18 | |||
| hum0014.v6.158k.v1 | GWAS for BMI for 158,284 individuals | 2017/9/8 | |||
| JGAS00000000114 | Data for BMI for 158,284 individuals, genotype data for 182,505 individuals | 2017/9/8 | |||
| hum0014.v7.POAG.v1 | GWAS for open angle glaucoma, composed of 3980 cases and 18,815 controls | 2018/4/4 | |||
| hum0014.v8.58qt.v1 | GWAS for the values of 58 laboratory tests for 162,255 individuals | 2018/5/1 | |||
| JGAS00000000114 | Phenotypic data for the values of 58 laboratory tests for 162,255 individuals | 2018/5/1 | |||
| hum0014.v9.Men.v1, hum0014.v9.MP.v1 | GWAS for 67,029 females with the data of their age of menarche and 43,861 females with the data of their age of menopause | 2018/8/7 | |||
| JGAS00000000114 | WGS data for 1026 individuals in the first cohort of BBJ project | 2018/8/13 | |||
| JGAS00000000140 | Data of Target Capture Sequencing in the coding regions of 11 causal genes of hereditary breast cancer, composed of 7,104 cases with breast cancers and 23,731 controls | 2018/10/16 | |||
| hum0014.v12.T2DMwN.v1 | Meta-analysis of GWAS for 2,809 cases with diabetic nephropathy in type 2 diabetes and 5,592 controls with type 2 diabetes | 2018/12/10 | |||
| hum0014.v13.T2DMmeta.v1 | Meta-analysis of GWAS for 36,614 cases with type 2 diabetes and 155,150 controls | 2019/1/25 | |||
| hum0014.v14.smok.v1 | GWAS for smoking habits of 165,436 individuals in the Japanese populations | 2019/3/26 | |||
| JGAS00000000114 | Reference panel for genotype imputation by integration of the vcf files of WGS data for 1037 individuals in BBJ project and 2504 individuals in 1000 genome project(Phase3v5) | 2019/9/27 | |||
| hum0014.v15.ht.v1 | GWAS for height for 159,095 individuals | 2019/9/27 | |||
| JGAS00000000203 | Data of Target Capture Sequencing in the coding regions of 8 causal genes of hereditary prostate cancer, composed of 7,636 cases with hereditary prostate cancers and 12,366 controls | 2019/10/7 | |||
| hum0014.v17 | GWAS for 40 diseases | 2019/10/8 | |||
| hum0014.v18 | GWAS for breast cancers | 2019/11/26 | |||
| hum0014.v19 | GWAS for dietary habits in 165,084 Japanese individuals | 2020/4/20 | |||
| hum0028.v2 | Tailor-Made Medical Treatment with the BioBank Japan Project | Michiaki Kubo (BBJ) | JGAS00000000018 | Information of genotype and HLA alleles in the HLA regions (7 loci) | 2015/6/2 |
| JGAS00000000018 | Adding the information of genotypes in the HLA-DQA1 region and HLA-DQA1 alleles | 2018/6/5 | |||
| hum0036.v1 | Performance comparison of commercial human whole-exome capture platforms | Michiaki Kubo | DRA003736 | NGS (Exome) | 2015/8/1 |
| hum0099.v1 | Association analyses of genetic polymorphisms and gene expressions in human immune cells | Kazuhiko Yamamoto | JGAS00000000085 | Data of gene expression levels by RNA-seq (FPKM value) | 2017/4/24 |
| hum0099.v1.eqtl.v1 | Results of eQTL analysis: Summary of statistics for each variant in target genes (effect size, P-value, etc) | 2017/4/24 | |||
| hum0238.v1 | Tailor-Made Medical Treatment development project | Yukihide Momozawa | JGAS00000000240 | Endogenous HHV-6 sequences in NGS(WGS) | 2020/7/28 |
| hum0229.v1 | Exploring molecular biomarker and elucidating molecular basis in aging, neurological diseases | Piero Carninci | JGAS00000000230 | NGS(scRNA-seq) | 2020/5/15 |
| hum0113.v1 | Creating biomarkers of metabolic products in Parkinson diseases and identification of drug discovery seed based on its mechanisms of molecular target | Piero Carninci | JGAS00000000119 | NGS(CAGE-seq) | 2020/4/24 |
| hum0163.v1 | Pharmacogenomics studies in therapeutic drugs for psychiatric・neurological diseases and cancers | Taisei Mushiroda | hum0163.v1.freq.v1 | NGS(Target Capture) | 2018/12/14 |
| hum0160.v2 | Cancer genome study by sequence analysis: esophageal cancers | Hidewaki Nakagawa | JGAS00000000155 | NGS(WGS) | 2019/5/28 |
| Added data to JGAS00000000155 | bam/gvcf data of NGS (WGS) | 2021/7/13 | |||
| hum0158.v3 | Cancer genome study by sequence analysis: liver cancers | Hidewaki Nakagawa | JGAS00000000151 | NGS(WGS),NGS(RNA-seq) | 2018/10/22 |
| Added data to JGAS00000000151 | NGS(WGS) | 2019/6/21 | |||
| Added data to JGAS00000000151 | bam/gvcf data of NGS (WGS) | 2021/7/13 | |||
| hum0132.v1 | Analysis of genome sequence in dioxin-associated illness in Vietnam | Hidewaki Nakagawa | JGAS00000000137 | NGS(WGS) | 2018/9/7 |
| hum0103.v2 | Cancer genome study by sequence analysis: biliary cancers | Hidewaki Nakagawa | JGAS00000000109 | NGS(WGS), NGS(Exome) | 2018/2/27 |
| Added data to JGAS00000000109 | NGS(WGS) | 2019/6/21 | |||
| Added data to JGAS00000000109 | bam/gvcf data of NGS(WGS) | 2021/7/13 | |||
| JGAS000389 | NGS(WGS),NGS (Exome),NGS (RNA-seq) | 2022/1/18 | |||
| hum0344.v2 | Cancer genome study by sequence analysis: Kidney cancer | Hidewaki Nakagawa | JGAS000533 | NGS(WGS), NGS(RNA-seq) | 2022/8/4 |
| JGAS000611 | NGS(Amplicon-seq) | 2023/5/16 | |||
| hum0316.v1 | Whole-genome sequencing of esophageal cancer to elucidate pathogenesis and search for treatment-sensitive markers | Hidewaki Nakagawa | JGAS000535 | NGS(WGS), NGS(RNA-seq) | 2022/5/26 |
| hum0306.v1 | Cancer Genome Sequencing Analysis | Hidewaki Nakagawa | JGAS000361 | NGS(WGS) | 2021/10/15 |
| hum0161.v2 | Cancer genome study by sequence analysis: Hepatoblastoma | Hidewaki Nakagawa | JGAS000156 | NGS(WGS) | 2021/6/4 |
| JGAD000688 | Processed data of JGAD000234 by JGA | 2022/12/27 | |||
| hum0159.v2 | Cancer genome study by sequence analysis: Colorectal cancers | Hidewaki Nakagawa | JGAS000157 | NGS(WGS) | 2021/6/1 |
| JGAD000689 | Processed data of JGAD000235 by JGA | 2022/12/27 |