Dataset ID

NHA000190

Name: NHA000190: GWAS for gut microbiome, GWAS for plasma metabolite, GWAS for KEGG Gene Ortholog and KEGG Pathway
Published: 2023-10-02

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

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File	Label	Size
metabo_C_0068_QCed_sumstats.tsv.gz	Urocanic acid	318 MB
metabo_C_0070_QCed_sumstats.tsv.gz	1-Methyl-4-imidazoleacetic acid	319 MB
metabo_C_0072_QCed_sumstats.tsv.gz	XC0029	319 MB
metabo_C_0073_QCed_sumstats.tsv.gz	Stachydrine	318 MB
metabo_C_0074_QCed_sumstats.tsv.gz	γ-Butyrobetaine	318 MB
metabo_C_0076_QCed_sumstats.tsv.gz	Gln	318 MB
metabo_C_0077_QCed_sumstats.tsv.gz	Lys	318 MB
metabo_C_0078_QCed_sumstats.tsv.gz	N-Acetylserine	318 MB
metabo_C_0079_QCed_sumstats.tsv.gz	Glu	318 MB
metabo_C_0080_QCed_sumstats.tsv.gz	Met	319 MB
metabo_C_0081_QCed_sumstats.tsv.gz	Triethanolamine	318 MB
metabo_C_0086_QCed_sumstats.tsv.gz	His	318 MB
metabo_C_0087_QCed_sumstats.tsv.gz	Imidazolelactic acid	318 MB
metabo_C_0091_QCed_sumstats.tsv.gz	N6-Methyllysine	319 MB
metabo_C_0092_QCed_sumstats.tsv.gz	O-Acetylhomoserine;2-Aminoadipic acid	318 MB
metabo_C_0093_QCed_sumstats.tsv.gz	Carnitine	318 MB
metabo_C_0094_QCed_sumstats.tsv.gz	5-Hydroxylysine	318 MB
metabo_C_0095_QCed_sumstats.tsv.gz	S-Methylmethionine	318 MB
metabo_C_0096_QCed_sumstats.tsv.gz	Methionine sulfoxide	318 MB
metabo_C_0097_QCed_sumstats.tsv.gz	Phe	318 MB
metabo_C_0100_QCed_sumstats.tsv.gz	1-Methylhistidine;3-Methylhistidine	319 MB
metabo_C_0103_QCed_sumstats.tsv.gz	Arg	318 MB
metabo_C_0105_QCed_sumstats.tsv.gz	Guanidinosuccinic acid	318 MB
metabo_C_0106_QCed_sumstats.tsv.gz	Citrulline	318 MB
metabo_C_0107_QCed_sumstats.tsv.gz	Serotonin	318 MB
metabo_C_0108_QCed_sumstats.tsv.gz	Alliin	318 MB
metabo_C_0109_QCed_sumstats.tsv.gz	Gluconolactone	318 MB
metabo_C_0111_QCed_sumstats.tsv.gz	Mannosamine	318 MB
metabo_C_0112_QCed_sumstats.tsv.gz	Galactosamine;Glucosamine	319 MB
metabo_C_0114_QCed_sumstats.tsv.gz	Theobromine	318 MB
metabo_C_0115_QCed_sumstats.tsv.gz	Paraxanthine	318 MB
metabo_C_0116_QCed_sumstats.tsv.gz	Tyr	319 MB
metabo_C_0117_QCed_sumstats.tsv.gz	Phosphorylcholine	318 MB
metabo_C_0119_QCed_sumstats.tsv.gz	N6-Acetyllysine	318 MB
metabo_C_0121_QCed_sumstats.tsv.gz	Nω-Methylarginine	319 MB
metabo_C_0122_QCed_sumstats.tsv.gz	Homoarginine	318 MB
metabo_C_0123_QCed_sumstats.tsv.gz	Homocitrulline	318 MB
metabo_C_0124_QCed_sumstats.tsv.gz	Gly-Asp	318 MB
metabo_C_0126_QCed_sumstats.tsv.gz	Caffeine	318 MB
metabo_C_0129_QCed_sumstats.tsv.gz	11-Aminoundecanoic acid	318 MB
metabo_C_0130_QCed_sumstats.tsv.gz	Asymmetric dimethylarginine	319 MB
metabo_C_0131_QCed_sumstats.tsv.gz	Symmetric dimethylarginine	318 MB
metabo_C_0133_QCed_sumstats.tsv.gz	O-Acetylcarnitine	318 MB
metabo_C_0134_QCed_sumstats.tsv.gz	Trp	318 MB
metabo_C_0136_QCed_sumstats.tsv.gz	Kynurenine	319 MB
metabo_C_0137_QCed_sumstats.tsv.gz	3-Methoxytyrosine	319 MB
metabo_C_0138_QCed_sumstats.tsv.gz	XC0061	318 MB
metabo_C_0141_QCed_sumstats.tsv.gz	XC0065	318 MB
metabo_C_0142_QCed_sumstats.tsv.gz	N-Acetylgalactosamine;N-Acetylmannosamine;N-Acetylglucosamine	318 MB
metabo_C_0143_QCed_sumstats.tsv.gz	Cystathionine	318 MB
metabo_C_0146_QCed_sumstats.tsv.gz	Isobutyrylcarnitine	319 MB
metabo_C_0147_QCed_sumstats.tsv.gz	Butyrylcarnitine	319 MB
metabo_C_0148_QCed_sumstats.tsv.gz	Cystine	318 MB
metabo_C_0153_QCed_sumstats.tsv.gz	Uridine	318 MB
metabo_C_0158_QCed_sumstats.tsv.gz	Dyphylline	318 MB
metabo_C_0165_QCed_sumstats.tsv.gz	1-Methyladenosine	318 MB
metabo_C_0167_QCed_sumstats.tsv.gz	Octanoylcarnitine	318 MB
metabo_C_0168_QCed_sumstats.tsv.gz	Argininosuccinic acid	318 MB
metabo_C_0169_QCed_sumstats.tsv.gz	XC0120	318 MB
metabo_C_0170_QCed_sumstats.tsv.gz	Glutathione (GSSG)_divalent	319 MB
metabo_C_0172_QCed_sumstats.tsv.gz	XC0132	318 MB
metabo_C_0174_QCed_sumstats.tsv.gz	Cysteine glutathione disulfide	318 MB
metabo_N_0002_QCed_sumstats.tsv.gz	Fatty acid(12:0)	318 MB
metabo_N_0005_QCed_sumstats.tsv.gz	Fatty acid(14:3)	318 MB
metabo_N_0006_QCed_sumstats.tsv.gz	Fatty acid(14:2)	318 MB
metabo_N_0007_QCed_sumstats.tsv.gz	Fatty acid(14:1)-1	318 MB
metabo_N_0008_QCed_sumstats.tsv.gz	Fatty acid(14:1)-2	319 MB
metabo_N_0009_QCed_sumstats.tsv.gz	Myristic acid	319 MB
metabo_N_0012_QCed_sumstats.tsv.gz	Fatty acid(15:0)	318 MB
metabo_N_0013_QCed_sumstats.tsv.gz	Pentadecanoic acid	318 MB
metabo_N_0014_QCed_sumstats.tsv.gz	3-Hydroxytetradecanoic acid	319 MB
metabo_N_0017_QCed_sumstats.tsv.gz	Fatty acid(16:2)-2	318 MB
metabo_N_0020_QCed_sumstats.tsv.gz	Palmitoleic acid	319 MB
metabo_N_0021_QCed_sumstats.tsv.gz	Palmitic acid	319 MB
metabo_N_0024_QCed_sumstats.tsv.gz	Fatty acid(17:1)-2	319 MB
metabo_N_0027_QCed_sumstats.tsv.gz	Heptadecanoic acid-1;Fatty acid(17:0)-1	319 MB
metabo_N_0028_QCed_sumstats.tsv.gz	Heptadecanoic acid-2;Fatty acid(17:0)-2	319 MB
metabo_N_0030_QCed_sumstats.tsv.gz	Stearidonic acid	319 MB
metabo_N_0031_QCed_sumstats.tsv.gz	Linolenic acid	319 MB
metabo_N_0032_QCed_sumstats.tsv.gz	Linoleic acid	319 MB
metabo_N_0033_QCed_sumstats.tsv.gz	Oleic acid	319 MB
metabo_N_0034_QCed_sumstats.tsv.gz	Stearic acid	319 MB
metabo_N_0037_QCed_sumstats.tsv.gz	Fatty acid(19:2)	318 MB
metabo_N_0038_QCed_sumstats.tsv.gz	Fatty acid(19:1)	319 MB
metabo_N_0040_QCed_sumstats.tsv.gz	Ricinoleic acid-2	319 MB
metabo_N_0041_QCed_sumstats.tsv.gz	Ricinoleic acid-3	319 MB
metabo_N_0045_QCed_sumstats.tsv.gz	cis-5,8,11,14,17-Eicosapentaenoic acid	318 MB
metabo_N_0046_QCed_sumstats.tsv.gz	Arachidonic acid	318 MB
metabo_N_0047_QCed_sumstats.tsv.gz	Fatty acid(20:3)	319 MB
metabo_N_0048_QCed_sumstats.tsv.gz	cis-8,11,14-Eicosatrienoic acid	319 MB
metabo_N_0049_QCed_sumstats.tsv.gz	cis-11,14-Eicosadienoic acid	318 MB
metabo_N_0050_QCed_sumstats.tsv.gz	cis-11-Eicosenoic acid	319 MB
metabo_N_0051_QCed_sumstats.tsv.gz	Arachidic acid	318 MB
metabo_N_0053_QCed_sumstats.tsv.gz	cis-4,7,10,13,16,19-Docosahexaenoic acid-1	318 MB
metabo_N_0055_QCed_sumstats.tsv.gz	Fatty acid(22:5)-1	318 MB
metabo_N_0056_QCed_sumstats.tsv.gz	Fatty acid(22:5)-2	319 MB
metabo_N_0057_QCed_sumstats.tsv.gz	Fatty acid(22:5)-3	319 MB
metabo_N_0058_QCed_sumstats.tsv.gz	Fatty acid(22:4)-1	319 MB
metabo_N_0059_QCed_sumstats.tsv.gz	Fatty acid(22:4)-2	319 MB
metabo_N_0060_QCed_sumstats.tsv.gz	Fatty acid(22:3)-1	319 MB

101–200 / 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
Data use policy: NBDC data sharing policy (JGAP000001)