Evidence map›Paper›PMID 29338008›Full record

ArticlePLoS computational biology2018

Interactions between species introduce spurious associations in microbiome studies.

Rajita Menon, Vivek Ramanan, Kirill S Korolev

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 11% of its field
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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

  1. Pooled it
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  10. The Multifaceted Role of Serotonin in Intestinal Homeostasis.International journal of molecular sciences · 2021
    Review
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  18. The Pathobiome in Animal and Plant Diseases.Trends in ecology & evolution · 2019
    Review
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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

3 authors at 1 institution in 1 country.

Rajita MenonDepartment of Physics, Boston University, Boston, Massachusetts, United States of America.ORCID 0000-0002-4767-0971
Vivek RamananBRITE Bioinformatics REU Program, Boston University, Boston, Massachusetts, United States of America.
Kirill S KorolevDepartment of Physics, Boston University, Boston, Massachusetts, United States of America.ORCID 0000-0003-1988-0645
Boston University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbiota contribute to many dimensions of host phenotype, including disease. To link specific microbes to specific phenotypes, microbiome-wide association studies compare microbial abundances between two groups of samples. Abundance differences, however, reflect not only direct associations with the phenotype, but also indirect effects due to microbial interactions. We found that microbial interactions could easily generate a large number of spurious associations that provide no mechanistic insight. Using techniques from statistical physics, we developed a method to remove indirect associations and applied it to the largest dataset on pediatric inflammatory bowel disease. Our method corrected the inflation of p-values in standard association tests and showed that only a small subset of associations is directly linked to the disease. Direct associations had a much higher accuracy in separating cases from controls and pointed to immunomodulation, butyrate production, and the brain-gut axis as important factors in the inflammatory bowel disease.

Indexed as

Gastrointestinal MicrobiomeAlgorithmsChildComputational BiologyCrohn DiseaseGenome-Wide Association StudyHumansInflammatory Bowel DiseasesMicrobial InteractionsModels, StatisticalPhenotypeRegression AnalysisReproducibility of ResultsSoftware

Identifiers

PMID29338008
PMCPMC5786326
OpenAlexW2745757065

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.