Evidence map›Paper›PMID 29187837›Full record

ReviewFrontiers in microbiology2017

Microbiome Datasets Are Compositional: And This Is Not Optional.

Gregory B Gloor, Jean M Macklaim, Vera Pawlowsky-Glahn, Juan J Egozcue

2 registry-linked trialsAbstract readReview
In one paragraph

Review in Frontiers in microbiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 1,550 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1,550citing papers in PubMed, 2 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.

NCT05122065 unknown statusnot on this mapstarted 2021, after this paper: background citation

Defining the Vaginal Microbiome and the Vaginal pH of Menopausal Women With and Without Genitourinary Syndrome and With and Without Hormone Replacement Therapy

TypeobservationalSponsorFemTec Health Inc.Ran2021 to 2022Enrolled432ConditionsMenopause, Hormone Replacement Therapy, Genitourinary Syndrome of Menopause
NCT06513026 narecruitingnot on this mapstarted 2026, after this paper: background citation

Milk for Diabetes Prevention

TypeinterventionalSponsorAlbert Einstein College of MedicineRan2026 to 2028Enrolled40ConditionsLactose Intolerance, Lactose Intolerant, Lactase Persistence, Pre-DiabetesArmsLactose-Containing Milk, Lactose-Free Milk
3 · Its place in the literature

Who cites it

1,550 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  3. Assessing the Impact ofNutrients · 2026
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1,490 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

4 authors.

Gregory B GloorDepartment of Biochemistry, University of Western Ontario, London, ON, Canada.
Jean M MacklaimDepartment of Biochemistry, University of Western Ontario, London, ON, Canada.
Vera Pawlowsky-GlahnDepartments of Computer Science, Applied Mathematics, and Statistics, Universitat de Girona, Girona, Spain.
Juan J EgozcueDepartment of Applied Mathematics, Universitat Politècnica de Catalunya, Barcelona, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Datasets collected by high-throughput sequencing (HTS) of 16S rRNA gene amplimers, metagenomes or metatranscriptomes are commonplace and being used to study human disease states, ecological differences between sites, and the built environment. There is increasing awareness that microbiome datasets generated by HTS are compositional because they have an arbitrary total imposed by the instrument. However, many investigators are either unaware of this or assume specific properties of the compositional data. The purpose of this review is to alert investigators to the dangers inherent in ignoring the compositional nature of the data, and point out that HTS datasets derived from microbiome studies can and should be treated as compositions at all stages of analysis. We briefly introduce compositional data, illustrate the pathologies that occur when compositional data are analyzed inappropriately, and finally give guidance and point to resources and examples for the analysis of microbiome datasets using compositional data analysis.

Indexed as

Bayesian estimationcompositional datacorrelationcount normalizationhigh-throughput sequencingmicrobiotarelative abundance

Identifiers

PMID29187837
PMCPMC5695134

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.