Evidence map›Paper›PMID 40483188›Full record

ReviewTrends in microbiology2025

Analyzing human gut microbiome data from global populations: challenges and resources.

Sabrina J Arif, Samantha P Graham, Richard J Abdill, Ran Blekhman

Abstract readReview
In one paragraph

Review in Trends in microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. The multi-omics fallacy in microbiome science.PLoS computational biology · 2026
    Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Sabrina J ArifSection of Genetic Medicine, Department of Medicine, University of Chicago, Chicago, IL, USA. Electronic address: sjarif@uchicago.edu.
Samantha P GrahamDepartment of Genetics, Cell Biology, and Development, University of Minnesota, Minneapolis, MN, USA.
Richard J AbdillSection of Genetic Medicine, Department of Medicine, University of Chicago, Chicago, IL, 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
NIGMS NIH HHS R35 GM128716
6 · The paper itself

Abstract

Research on the human gut microbiome is expanding rapidly; yet, most published studies focus on populations from high-income regions such as North America and Europe. Underrepresentation of populations from low- and middle-income countries in the microbiome literature limits the generalizability of microbiome-health associations. These challenges are compounded by computational barriers, including biases in reference databases, nonrepresentative metadata, and infrastructure limitations in low- and middle-income countries. However, recent efforts in large-scale global sampling have begun to address these problems. This review provides recommendations for future research efforts applying computational analysis to global microbiome data, including guidelines to initiate and maintain equitable partnerships, identify representative datasets, overcome technical limitations, and contextualize results at the global scale.

Indexed as

Computational BiologyGastrointestinal MicrobiomeDatabases, FactualGlobal HealthHumansMetadataglobal healthglobal microbiome diversitymicrobiomenext-generation sequencingreference genomesresearch equity

Identifiers

PMID40483188
PMCPMC12353970

What OpenQuestion holds

Textmetadata
LicenceTDM
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.