Evidence map›Paper›PMID 39848248›Full record

ArticleCell2025

Integration of 168,000 samples reveals global patterns of the human gut microbiome.

Richard J Abdill, Samantha P Graham, Vincent Rubinetti, Mansooreh Ahmadian, Parker Hicks, Ashwin Chetty, Daniel McDonald, Pamela Ferretti, Elizabeth Gibbons, Marco Rossi and 5 more

Abstract read
In one paragraph

Article in Cell, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
76citing papers in PubMed, 4 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

76 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Frontiers in nutrition · 2026
    Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Article
  6. Review
  7. Review
  8. Gut archaea drive human MAIT cell responses.bioRxiv : the preprint server for biology · 2026
    Article
  9. Article
  10. Review
  11. Anaerobic riboflavin degradation by human gutJournal of bacteriology · 2026
    Article
  12. Article
  13. Article
  14. Review
  15. Review
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article

16 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Richard J AbdillSection of Genetic Medicine, Department of Medicine, University of Chicago, Chicago, IL, USA.
Samantha P GrahamDepartment of Genetics, Cell Biology, and Development, University of Minnesota, Minneapolis, MN, USA.
Vincent RubinettiDepartment of Biomedical Informatics, University of Colorado School of Medicine, Aurora, CO, USA; Center for Health Artificial Intelligence (CHAI), University of Colorado School of Medicine, Aurora, CO, USA.
Mansooreh AhmadianDepartment of Biostatistics and Informatics, University of Colorado Anschutz Medical Campus, School of Public Health, Aurora, CO, USA.
Parker HicksDepartment of Biomedical Informatics, University of Colorado School of Medicine, Aurora, CO, USA.
Ashwin ChettySection of Genetic Medicine, Department of Medicine, University of Chicago, Chicago, IL, USA.
Daniel McDonaldDepartment of Pediatrics, School of Medicine, University of California, San Diego, La Jolla, CA, USA.
Pamela FerrettiSection of Genetic Medicine, Department of Medicine, University of Chicago, Chicago, IL, USA.
Elizabeth GibbonsSection of Genetic Medicine, Department of Medicine, University of Chicago, Chicago, IL, USA.
Marco RossiSection of Genetic Medicine, Department of Medicine, University of Chicago, Chicago, IL, USA.
Arjun KrishnanDepartment of Biomedical Informatics, University of Colorado School of Medicine, Aurora, CO, USA; Department of Biostatistics and Informatics, University of Colorado Anschutz Medical Campus, School of Public Health, Aurora, CO, USA.
Frank W AlbertDepartment of Genetics, Cell Biology, and Development, University of Minnesota, Minneapolis, MN, USA.
Casey S GreeneDepartment of Biomedical Informatics, University of Colorado School of Medicine, Aurora, CO, USA; Center for Health Artificial Intelligence (CHAI), University of Colorado School of Medicine, Aurora, CO, USA.
Sean DavisDepartment of Biomedical Informatics, University of Colorado School of Medicine, Aurora, CO, USA; Center for Health Artificial Intelligence (CHAI), University of Colorado School of Medicine, Aurora, CO, USA.
Ran BlekhmanSection of Genetic Medicine, Department of Medicine, University of Chicago, Chicago, IL, USA. Electronic address: blekhman@uchicago.edu.

Funding

Population Genomics of Host-Microbiome InteractionsR35GM128716 · NIGMS · UNIVERSITY OF MINNESOTA · PI Ran Blekhman · 2018 to 2026
$3.5M
Human Microbiome Compendium: large-scale curation and processing ofhuman microbiome datasetsR01LM013863 · NLM · UNIVERSITY OF CHICAGO · PI Ran Blekhman, Casey S Greene · 2022 to 2026
$1.7M
NIGMS NIH HHS R35 GM128716NLM NIH HHS R01 LM013863
6 · The paper itself

Abstract

The factors shaping human microbiome variation are a major focus of biomedical research. While other fields have used large sequencing compendia to extract insights requiring otherwise impractical sample sizes, the microbiome field has lacked a comparably sized resource for the 16S rRNA gene amplicon sequencing commonly used to quantify microbiome composition. To address this gap, we processed 168,464 publicly available human gut microbiome samples with a uniform pipeline. We use this compendium to evaluate geographic and technical effects on microbiome variation. We find that regions such as Central and Southern Asia differ significantly from the more thoroughly characterized microbiomes of Europe and Northern America and that composition alone can be used to predict a sample's region of origin. We also find strong associations between microbiome variation and technical factors such as primers and DNA extraction. We anticipate this growing work, the Human Microbiome Compendium, will enable advanced applied and methodological research.

Indexed as

Gastrointestinal MicrobiomeBacteriaEuropeHumansRNA, Ribosomal, 16SSequence Analysis, DNARNA, Ribosomal, 16S16S rRNA amplicon sequencingatlascompendiumglobal variationgut microbiome

Identifiers

PMID39848248
PMCPMC11848717

What OpenQuestion holds

Textmetadata
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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.