Evidence map›Paper›PMID 27383984›Full record

ReviewNature2016

Microbiome-wide association studies link dynamic microbial consortia to disease.

Jack A Gilbert, Robert A Quinn, Justine Debelius, Zhenjiang Z Xu, James Morton, Neha Garg, Janet K Jansson, Pieter C Dorrestein, Rob Knight

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 369 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
369citing 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

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

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Trial
  6. Trial
  7. Trial
  8. Article
  9. Review
  10. Gut microbiota associate with disease severity and survival in idiopathic pulmonary fibrosis.American journal of respiratory and critical care medicine · 2026
    Article
  11. Review
  12. Review
  13. Review
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

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

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

9 authors.

Jack A GilbertDepartment of Surgery, University of Chicago, Chicago, Illinois 60637, USA.
Robert A QuinnDepartment of Pharmacology, University of California San Diego, La Jolla, California 92093, USA.
Justine DebeliusDepartment of Pediatrics, University of California, San Diego School of Medicine, La Jolla, California 92093, USA.
Zhenjiang Z XuDepartment of Pediatrics, University of California, San Diego School of Medicine, La Jolla, California 92093, USA.
James MortonDepartment of Computer Science and Engineering, Jacobs School of Engineering, University of California San Diego, La Jolla, California 92093, USA.
Neha GargDepartment of Pharmacology, University of California San Diego, La Jolla, California 92093, USA.
Janet K JanssonEarth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, Washington 99354, USA.
Pieter C DorresteinDepartment of Pharmacology, University of California San Diego, La Jolla, California 92093, USA.
Rob KnightCenter for Microbiome Innovation, Jacobs School of Engineering, University of California, San Diego, La Jolla, California 92093, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rapid advances in DNA sequencing, metabolomics, proteomics and computational tools are dramatically increasing access to the microbiome and identification of its links with disease. In particular, time-series studies and multiple molecular perspectives are facilitating microbiome-wide association studies, which are analogous to genome-wide association studies. Early findings point to actionable outcomes of microbiome-wide association studies, although their clinical application has yet to be approved. An appreciation of the complexity of interactions among the microbiome and the host's diet, chemistry and health, as well as determining the frequency of observations that are needed to capture and integrate this dynamic interface, is paramount for developing precision diagnostics and therapies that are based on the microbiome.

Indexed as

DiseaseDisease SusceptibilityMicrobial ConsortiaAnimalsBacteriaBiomarkersHealthHumansMetabolomePrognosisBiomarkers

Identifiers

PMID27383984

What OpenQuestion holds

Textmetadata
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.