Sumstats Gut microbiome
Curation of Gut microbiome — listings under the Summary statistics tab.
Summary Table
Click a column header to sort the table.
| NAME | CATEGORY | URL | Main citation |
|---|---|---|---|
| AD gut microbiome host genetics (Chinese cohort) | GWAS | https://link.springer.com/article/10.1186/s40168-026-… |
Liu J, Cao J, Jia L, et al. (2026) Impacts of host genetics on gut microbiome composition in Alzheimer's disease.…
|
| German gut microbiome GWAS (ABO / FUT2) | GWAS | https://www.nature.com/articles/s41588-020-00747-1 |
Rühlemann MC, Hermes BM, Bang C, et al. (2021) Genome-wide association study in 8,956 German individuals identifies…
|
| Gut microbial structural variation GWAS (Dutch meta-analysis) | GWAS | https://www.nature.com/articles/s41586-023-06893-w |
Zhernakova DV, Wang D, Liu L, et al. (2024) Host genetic regulation of human gut microbial structural variation.…
|
| Japanese gut microbiome–host genetics (Cell Reports) | GWAS | https://www.cell.com/cell-reports/fulltext/S2211-1247… |
Tomofuji Y, Kishikawa T, Sonehara K, et al. (2023) Analysis of gut microbiome, host genetics, and plasma metabolites…
|
| MiBioGen gut microbiome GWAS (multi-cohort) | GWAS | https://pmc.ncbi.nlm.nih.gov/articles/PMC8515199/ · https://www.nature.com/articles/s41588-020-00763-1 |
Kurilshikov A, Medina-Gomez C, Bacigalupe R, et al. (2021) Large-scale association analyses identify host factors…
|
| Oral microbiota GWAS (ADDITION-PRO) | GWAS | https://www.nature.com/articles/s41598-024-65538-8 |
Stankevic E, Kern T, Borisevich D, et al. (2024) Genome-wide association study identifies host genetic variants…
|
| Swedish gut metagenome GWAS (SCAPIS / HUNT replication) | GWAS | https://www.nature.com/articles/s41588-026-02512-2 |
Dekkers KF, Pertiwi K, Baldanzi G, et al. (2026) Genome-wide association analyses highlight the role of the…
|
| Westlake gut bacteria GWAS | GWAS | https://omics.lab.westlake.edu.cn/data/bacteria/pheno… · https://omics.lab.westlake.edu.cn/collect.html |
Laboratory of Precision Nutrition and Computational Medicine, Westlake University. Gut bacteria GWAS summary…
|
| Westlake gut fungi GWAS | GWAS | https://omics.lab.westlake.edu.cn/data/fungi/phenotypes · https://omics.lab.westlake.edu.cn/collect.html |
Laboratory of Precision Nutrition and Computational Medicine, Westlake University. Gut fungi GWAS summary…
|
| Host transcriptome–gut microbiome integration (CRC / IBD / IBS) | MISC | https://www.nature.com/articles/s41564-022-01121-z |
Priya S, Burns MB, Ward T, et al. (2022) Identification of shared and disease-specific host gene–microbiome…
|
| Host genetics & gut microbiome (Nat Genet perspective) | Review | https://www.nature.com/articles/s41588-021-00983-z |
Sanna S, Kurilshikov A, van der Graaf A, et al. (2022) Challenges and future directions for studying effects of host…
|
GWAS
AD gut microbiome host genetics (Chinese cohort)
PUBMED_LINK
DESCRIPTION
Joint host whole-genome sequencing and gut microbiome profiling in 252 Chinese individuals with graded cognitive disability. Microbiome GWAS for latent enterosignature (Anaerostipes-enriched) abundance; integrates AD polygenic risk and brain cell-type expression context. Open-access report in Microbiome.
URL
Main citation
Liu J, Cao J, Jia L, et al. (2026) Impacts of host genetics on gut microbiome composition in Alzheimer's disease. Microbiome. doi:10.1186/s40168-026-02342-8. PMID 41782023
MAIN ANCESTRY
EAS
METAGENOME
Gut bacteria
German gut microbiome GWAS (ABO / FUT2)
PUBMED_LINK
DESCRIPTION
Genome-wide association analysis in 8,956 German individuals links host variation to single-taxon and overall gut microbiome composition; replicates ABO histo-blood group and FUT2 secretor associations with Bacteroides and Faecalibacterium. Includes Mendelian randomization for IBD-relevant microbial effects.
URL
Main citation
Rühlemann MC, Hermes BM, Bang C, et al. (2021) Genome-wide association study in 8,956 German individuals identifies influence of ABO histo-blood groups on gut microbiome. Nat Genet, 53:147–155. doi:10.1038/s41588-020-00747-1. PMID 33462482
MAIN ANCESTRY
EUR
METAGENOME
Gut bacteria
Gut microbial structural variation GWAS (Dutch meta-analysis)
PUBMED_LINK
DESCRIPTION
Meta-analysis of genome-wide associations between host genotypes and gut microbial structural variants (deletion dSVs and variable vSVs) from metagenomes in four Dutch cohorts (n = 9,015), with replication in Tanzania (n = 279). After frequency filters, GWAS used 3,552 common SV phenotypes aggregated across 49 bacterial species with sufficient metagenomic coverage. Highlights ABO/FUT2–GalNAc pathways and Faecalibacterium prausnitzii SVs.
URL
Main citation
Zhernakova DV, Wang D, Liu L, et al. (2024) Host genetic regulation of human gut microbial structural variation. Nature, 625:813–821. doi:10.1038/s41586-023-06893-w. PMID 38172637
MAIN ANCESTRY
EUR
METAGENOME
Gut bacteria (metagenomic SVs)
Japanese gut microbiome–host genetics (Cell Reports)
PUBMED_LINK
DESCRIPTION
Japanese shotgun metagenome and SNP-array GWAS (7,213,469 post-imputation variants, MAF >1%, Minimac4 Rsq >0.7): microbial traits included species, gene orthologs, and pathways. Two study waves—dataset 1 (gut microbiome, plasma metabolome, genotype): n = 300; dataset 2 (gut microbiome, genotype): n = 224—were combined by fixed-effect meta-analysis (total n = 524; Figure S1 / Table S1). Species GWAS used 423 microbial species (study-wide threshold 5×10⁻⁸/423); headline hits include PDE1C–Bacteroides intestinalis and TGIF2 / TGIF2-RAB5IF–B. acidifaciens, plus microbial gene ortholog associations with blood group A conditioned on East Asian FUT2 secretor status. Metabolome arm in dataset 1 supports microbiome–plasma integration. Public data resource.
URL
Main citation
Tomofuji Y, Kishikawa T, Sonehara K, et al. (2023) Analysis of gut microbiome, host genetics, and plasma metabolites reveals gut microbiome-host interactions in the Japanese population. Cell Rep, 42(11):113324. doi:10.1016/j.celrep.2023.113324. PMID 37935197
MAIN ANCESTRY
EAS
METAGENOME
Gut (shotgun metagenome)
MiBioGen gut microbiome GWAS (multi-cohort)
PUBMED_LINK
DESCRIPTION
MiBioGen consortium meta-analysis: genome-wide host genotypes with 16S fecal microbiome data across 24 cohorts (n = 18,340). N_MICROBES = 410 genus-level groups in the MiBioGen framework (paper: nine genera detected in >95% of samples). Identifies 31 genome-wide significant loci affecting microbial taxa (e.g. lactase LCT, ABO, fucosyltransferase cluster).
URL
Main citation
Kurilshikov A, Medina-Gomez C, Bacigalupe R, et al. (2021) Large-scale association analyses identify host factors influencing human gut microbiome composition. Nat Genet, 53:156–165. doi:10.1038/s41588-020-00763-1. PMID 33462485
MAIN ANCESTRY
Multi-ancestry
METAGENOME
Gut bacteria (16S)
Oral microbiota GWAS (ADDITION-PRO)
PUBMED_LINK
DESCRIPTION
16S rRNA amplicon-based GWAS of salivary microbiota traits in unrelated Danish adults from the ADDITION-PRO cohort (n = 610). Identifies host SNPs associated with oral bacterial abundance and beta diversity; several variants link to metabolic traits. Oral (not gut) microbiota — listed here for host–microbiome genetics.
URL
Main citation
Stankevic E, Kern T, Borisevich D, et al. (2024) Genome-wide association study identifies host genetic variants influencing oral microbiota diversity and metabolic health. Sci Rep, 14:14738. doi:10.1038/s41598-024-65538-8. PMID 38926497
MAIN ANCESTRY
EUR
METAGENOME
Oral (salivary)
Swedish gut metagenome GWAS (SCAPIS / HUNT replication)
PUBMED_LINK
DESCRIPTION
Harmonized shotgun metagenome GWAS in 16,017 adults from four Swedish studies, with replication in 12,652 participants from the Norwegian HUNT study. Reports loci including OR51E1–OR51E2 (microbial richness), LCT, ABO, FUT2, MUC12, CORO7–HMOX2, SLC5A11, FOXP1, FUT3–FUT6, and species-level associations.
URL
Main citation
Dekkers KF, Pertiwi K, Baldanzi G, et al. (2026) Genome-wide association analyses highlight the role of the intestinal molecular environment in human gut microbiota variation. Nat Genet, 58:540–549. doi:10.1038/s41588-026-02512-2. PMID 41688638
MAIN ANCESTRY
EUR
METAGENOME
Gut (shotgun metagenome)
Westlake gut bacteria GWAS
DESCRIPTION
Genome-wide association analyses for human gut bacteria in Han Chinese (n = 7,935) from the Westlake Chinese Multi-omics GWAS Catalog. N_MICROBES matches the bacteria phenotypes.tsv table on the portal (2026).
URL
Main citation
Laboratory of Precision Nutrition and Computational Medicine, Westlake University. Gut bacteria GWAS summary statistics, Han Chinese (n = 7,935). Westlake Chinese Multi-omics GWAS Catalog. https://omics.lab.westlake.edu.cn/data.html (accessed 2026).
MAIN ANCESTRY
EAS
METAGENOME
Gut bacteria
Westlake gut fungi GWAS
DESCRIPTION
Genome-wide association analyses for human gut fungi (mycobiome) in Han Chinese (n = 7,350) from the Westlake Chinese Multi-omics GWAS Catalog. N_MICROBES matches the fungi phenotypes.tsv table on the portal (2026). Companion publication was listed as unpublished on the catalog data page as of 2026.
URL
Main citation
Laboratory of Precision Nutrition and Computational Medicine, Westlake University. Gut fungi GWAS summary statistics, Han Chinese (n = 7,350). Westlake Chinese Multi-omics GWAS Catalog. https://omics.lab.westlake.edu.cn/data.html (accessed 2026). Associated manuscript cited on the portal as “Genetic architecture of the human gut mycobiome” (unpublished).
MAIN ANCESTRY
EAS
METAGENOME
Gut fungi
MISC
Host transcriptome–gut microbiome integration (CRC / IBD / IBS)
PUBMED_LINK
DESCRIPTION
Paired colonic mucosal RNA-seq and 16S gut microbiome data (208 sample pairs) across colorectal cancer, IBD, and IBS; machine-learning integration (sparse CCA, lasso) maps shared and disease-specific host gene–microbe associations—not SNP-based GWAS.
URL
Main citation
Priya S, Burns MB, Ward T, et al. (2022) Identification of shared and disease-specific host gene–microbiome associations across human diseases using multi-omic integration. Nat Microbiol, 7:780–795. doi:10.1038/s41564-022-01121-z. PMID 35577971
TRANSCRIPTOME
Colonic mucosa RNA-seq
METAGENOME
Gut mucosa (16S)
Review
Host genetics & gut microbiome (Nat Genet perspective)
PUBMED_LINK
DESCRIPTION
Perspective on microbial GWAS (mbGWAS): state of the art, heterogeneity of microbiome assays, power, and directions for genetic analysis of the gut microbiome.
URL
Main citation
Sanna S, Kurilshikov A, van der Graaf A, et al. (2022) Challenges and future directions for studying effects of host genetics on the gut microbiome. Nat Genet, 54:100–106. doi:10.1038/s41588-021-00983-z. PMID 35115688