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Dataset ID

NHA000190

Type of data
GWAS for gut microbiome
GWAS for plasma metabolite
GWAS for KEGG Gene Ortholog and KEGG Pathway
Access criteria
Unrestricted-access
Total data volume
320 GB
File formats
  • TSV
  • DOCX
Research
hum0197
Date published
2023-10-02
Date modified
2023-10-02
Secondary ID
hum0197.v18.gwas.v1

Unrestricted-access files linked to this dataset

Per page
100

1–100 / 732

FileLabelSizeCopy URL
KO_1e_4_GWAS.tsv.gzKEGG Gene Ortholog300 MB
PATH_1e_4_GWAS.tsv.gzKEGG Pathway9.4 MB
ReadMe_hum0197.v18.docxDictionary file24.3 KB
metabo_A_0003_QCed_sumstats.tsv.gzPyruvic acid318 MB
metabo_A_0005_QCed_sumstats.tsv.gzLactic acid318 MB
metabo_A_0007_QCed_sumstats.tsv.gzIsovaleric acid;Valeric acid318 MB
metabo_A_0009_QCed_sumstats.tsv.gz3-Hydroxybutyric acid318 MB
metabo_A_0010_QCed_sumstats.tsv.gz2-Hydroxybutyric acid319 MB
metabo_A_0012_QCed_sumstats.tsv.gzGlyceric acid318 MB
metabo_A_0015_QCed_sumstats.tsv.gz2-Oxoisovaleric acid318 MB
metabo_A_0016_QCed_sumstats.tsv.gzHexanoic acid318 MB
metabo_A_0017_QCed_sumstats.tsv.gzN-Acetylglycine318 MB
metabo_A_0018_QCed_sumstats.tsv.gzSuccinic acid318 MB
metabo_A_0019_QCed_sumstats.tsv.gz2-Hydroxyvaleric acid318 MB
metabo_A_0021_QCed_sumstats.tsv.gzIsethionic acid319 MB
metabo_A_0022_QCed_sumstats.tsv.gz5-Oxoproline318 MB
metabo_A_0024_QCed_sumstats.tsv.gz4-Methyl-2-oxovaleric acid;3-Methyl-2-oxovaleric acid319 MB
metabo_A_0027_QCed_sumstats.tsv.gzN-Acetylalanine318 MB
metabo_A_0029_QCed_sumstats.tsv.gz2-Hydroxy-4-methylvaleric acid318 MB
metabo_A_0030_QCed_sumstats.tsv.gz6-Hydroxyhexanoic acid319 MB
metabo_A_0031_QCed_sumstats.tsv.gzMalic acid318 MB
metabo_A_0032_QCed_sumstats.tsv.gzThreonic acid318 MB
metabo_A_0034_QCed_sumstats.tsv.gzEthanolamine phosphate318 MB
metabo_A_0035_QCed_sumstats.tsv.gzOctanoic acid318 MB
metabo_A_0036_QCed_sumstats.tsv.gzXA0004318 MB
metabo_A_0038_QCed_sumstats.tsv.gz2-Oxoglutaric acid318 MB
metabo_A_0039_QCed_sumstats.tsv.gz2-Hydroxyglutaric acid318 MB
metabo_A_0043_QCed_sumstats.tsv.gz3-Phenylpropionic acid318 MB
metabo_A_0045_QCed_sumstats.tsv.gzPelargonic acid318 MB
metabo_A_0047_QCed_sumstats.tsv.gz8-Hydroxyoctanoic acid;2-Hydroxyoctanoic acid-1318 MB
metabo_A_0051_QCed_sumstats.tsv.gzTerephthalic acid318 MB
metabo_A_0052_QCed_sumstats.tsv.gzPerillic acid318 MB
metabo_A_0054_QCed_sumstats.tsv.gzUric acid318 MB
metabo_A_0058_QCed_sumstats.tsv.gzDecanoic acid318 MB
metabo_A_0059_QCed_sumstats.tsv.gzXA0013318 MB
metabo_A_0060_QCed_sumstats.tsv.gzcis-Aconitic acid319 MB
metabo_A_0062_QCed_sumstats.tsv.gzIndole-3-acetic acid318 MB
metabo_A_0064_QCed_sumstats.tsv.gzHippuric acid318 MB
metabo_A_0065_QCed_sumstats.tsv.gzHomovanillic acid318 MB
metabo_A_0068_QCed_sumstats.tsv.gz3-Phosphoglyceric acid318 MB
metabo_A_0072_QCed_sumstats.tsv.gzCitric acid318 MB
metabo_A_0073_QCed_sumstats.tsv.gzIsocitric acid318 MB
metabo_A_0074_QCed_sumstats.tsv.gzQuinic acid318 MB
metabo_A_0076_QCed_sumstats.tsv.gzGlucuronic acid-1;Galacturonic acid-1318 MB
metabo_A_0078_QCed_sumstats.tsv.gzGluconic acid318 MB
metabo_A_0080_QCed_sumstats.tsv.gzLauric acid318 MB
metabo_A_0081_QCed_sumstats.tsv.gzS-Sulfocysteine318 MB
metabo_A_0083_QCed_sumstats.tsv.gzMucic acid318 MB
metabo_A_0084_QCed_sumstats.tsv.gzGlucaric acid318 MB
metabo_A_0086_QCed_sumstats.tsv.gz3-Indoxylsulfuric acid318 MB
metabo_A_0089_QCed_sumstats.tsv.gzMyristoleic acid319 MB
metabo_A_0090_QCed_sumstats.tsv.gzXA0027319 MB
metabo_A_0100_QCed_sumstats.tsv.gzGlucose 6-phosphate319 MB
metabo_A_0101_QCed_sumstats.tsv.gzSulfotyrosine318 MB
metabo_A_0102_QCed_sumstats.tsv.gzN2-Phenylacetylglutamine318 MB
metabo_A_0103_QCed_sumstats.tsv.gz2,3-Diphosphoglyceric acid318 MB
metabo_A_0125_QCed_sumstats.tsv.gzAdenosine diphosphate318 MB
metabo_A_0134_QCed_sumstats.tsv.gzAdenosine triphosphate319 MB
metabo_C_0002_QCed_sumstats.tsv.gzUrea319 MB
metabo_C_0003_QCed_sumstats.tsv.gzEthanolamine318 MB
metabo_C_0005_QCed_sumstats.tsv.gzGly318 MB
metabo_C_0007_QCed_sumstats.tsv.gzTrimethylamine N-oxide318 MB
metabo_C_0008_QCed_sumstats.tsv.gzPiperidine318 MB
metabo_C_0010_QCed_sumstats.tsv.gzSarcosine319 MB
metabo_C_0011_QCed_sumstats.tsv.gzβ-Ala318 MB
metabo_C_0012_QCed_sumstats.tsv.gzAla318 MB
metabo_C_0013_QCed_sumstats.tsv.gzGlycerol318 MB
metabo_C_0016_QCed_sumstats.tsv.gzN-Methylputrescine318 MB
metabo_C_0018_QCed_sumstats.tsv.gzN,N-Dimethylglycine318 MB
metabo_C_0019_QCed_sumstats.tsv.gz2-Aminoisobutyric acid;2-Aminobutyric acid318 MB
metabo_C_0020_QCed_sumstats.tsv.gz3-Aminoisobutyric acid319 MB
metabo_C_0022_QCed_sumstats.tsv.gzCholine318 MB
metabo_C_0023_QCed_sumstats.tsv.gzSer318 MB
metabo_C_0024_QCed_sumstats.tsv.gzDiethanolamine318 MB
metabo_C_0025_QCed_sumstats.tsv.gzHypotaurine318 MB
metabo_C_0028_QCed_sumstats.tsv.gzCreatinine319 MB
metabo_C_0030_QCed_sumstats.tsv.gzPro319 MB
metabo_C_0031_QCed_sumstats.tsv.gzGuanidoacetic acid318 MB
metabo_C_0032_QCed_sumstats.tsv.gzBetaine318 MB
metabo_C_0033_QCed_sumstats.tsv.gzVal318 MB
metabo_C_0034_QCed_sumstats.tsv.gzThr318 MB
metabo_C_0039_QCed_sumstats.tsv.gzNicotinamide318 MB
metabo_C_0042_QCed_sumstats.tsv.gzTaurine318 MB
metabo_C_0044_QCed_sumstats.tsv.gzXC0016318 MB
metabo_C_0046_QCed_sumstats.tsv.gzPipecolic acid318 MB
metabo_C_0047_QCed_sumstats.tsv.gzN-Acetylputrescine318 MB
metabo_C_0048_QCed_sumstats.tsv.gzcis-4-Hydroxyproline318 MB
metabo_C_0049_QCed_sumstats.tsv.gzHydroxyproline318 MB
metabo_C_0051_QCed_sumstats.tsv.gzCreatine318 MB
metabo_C_0053_QCed_sumstats.tsv.gzAlloisoleucine319 MB
metabo_C_0054_QCed_sumstats.tsv.gzIle318 MB
metabo_C_0055_QCed_sumstats.tsv.gzLeu318 MB
metabo_C_0056_QCed_sumstats.tsv.gzAsn318 MB
metabo_C_0057_QCed_sumstats.tsv.gzOrnithine318 MB
metabo_C_0058_QCed_sumstats.tsv.gzThiaproline318 MB
metabo_C_0059_QCed_sumstats.tsv.gzAsp318 MB
metabo_C_0061_QCed_sumstats.tsv.gzS-Methylcysteine318 MB
metabo_C_0063_QCed_sumstats.tsv.gzHypoxanthine318 MB
metabo_C_0064_QCed_sumstats.tsv.gz1-Methylnicotinamide318 MB
metabo_C_0066_QCed_sumstats.tsv.gzTrigonelline318 MB

1–100 / 732

Analysis method

genome wide SNPs

Materials and participants
524 Japanese individuals (423 species in the gut microbiome)
306 Japanese individuals (306 plasma metabolites)
524 Japanese individuals (KEGG Gene Ortholog and KEGG Pathway)
  • Subject count
    524 (Individual)
  • Population
    Japanese
Sample description
DNAs extracted from peripheral blood cells
  • Tissue
    Peripheral blood
  • Tumor / normal
    Normal
Experimental method
Genotyping by array
WGS
Reagent kit
Infinium Asian Screening Array Kit
KAPA Hyper Prep Kit
TruSeq DNA PCR-Free Library Prep Kit
Platform
Illumina HiSeq 2500
Illumina HiSeq 3000
Illumina HiSeq X
Illumina Infinium Asian Screening Array
Illumina NovaSeq 6000
Reference genome
GRCh37
QC and filtering
SNP array data:
Sample QC: We excluded individuals with low genotyping call rates (call rate < 98%). We included individuals of the estimated Asian ancestry using PCA.
Variant QC: We excluded variants with (1) genotyping call rate < 99%, (2) minor allele count < 5, (3) P-value for Hardy-Weinberg equilibrium < 1.0 × 10^−10, and (4) > 5% allele frequency difference compared with the imputation reference panel or the allele frequency panel of Tohoku Medical Megabank Project.
Post-imputation QC: We excluded imputed variants with Rsq < 0.7 and minor allele frequency < 1%.
WGS:
We excluded variants with genotype call rate <90%, ExcessHet > 60, Hardy-Weinberg P<1.0×10−10
After imputation with Beagle v5.1, we excluded imputed variants with minor allele frequency < 1%.
Imputation
Haplotype phasing: shapeit4
Imputation: minimac4
Analysis method
SNP array:
Genotyping: GenomeStudio
WGS:
WA-MEM v0.7.13 + GATK v3.8-0
PLINK2
Variant count
Gut microbiota/KEGG (SNP array): 7,213,470 variants
Blood metabolites (WGS): 6,840,258 variants
Processed data type
GWAS summary statistics
Phenotype data
Included