Evidence map›Paper›PMID 41867416›Full record

ArticleOpen research Europe2025

Genome wide association study of vaginal microbiota genetic diversity in French women.

Samuel Alizon, Claire Bernat, Vanina Boué, Sophie Grasset, Soraya Groc, Tsukushi Kamiya, Massilva Rahmoun, Christian Selinger, Nicolas Tessandier, Marine Bonneau and 10 more

Abstract read
In one paragraph

Article in Open research Europe, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

20 authors.

Samuel AlizonCIRB, INSERM, Collège de France, Université PSL, Centre National de la Recherche Scientifique (CNRS), Paris, Île-de-France, France.ORCID https://orcid.org/0000-0002-0779-9543
Claire BernatMIVEGEC, IRD, Université de Montpellier, Centre National de la Recherche Scientifique, Montpellier, Occitanie, France.
Vanina BouéMIVEGEC, IRD, Université de Montpellier, Centre National de la Recherche Scientifique, Montpellier, Occitanie, France.
Sophie GrassetMIVEGEC, IRD, Université de Montpellier, Centre National de la Recherche Scientifique, Montpellier, Occitanie, France.
Soraya GrocMIVEGEC, IRD, Université de Montpellier, Centre National de la Recherche Scientifique, Montpellier, Occitanie, France.ORCID https://orcid.org/0009-0004-3911-5224
Tsukushi KamiyaCIRB, INSERM, Collège de France, Université PSL, Centre National de la Recherche Scientifique (CNRS), Paris, Île-de-France, France.
Massilva RahmounMIVEGEC, IRD, Université de Montpellier, Centre National de la Recherche Scientifique, Montpellier, Occitanie, France.
Christian SelingerMIVEGEC, IRD, Université de Montpellier, Centre National de la Recherche Scientifique, Montpellier, Occitanie, France.
Nicolas TessandierMIVEGEC, IRD, Université de Montpellier, Centre National de la Recherche Scientifique, Montpellier, Occitanie, France.
Marine BonneauDepartment of Obstetrics and Gynaecology, Centre Hospitalier Universitaire de Montpellier, Montpellier, France.
Vincent FoulongnePCCEI, Inserm, University Montpellier, Montpellier, Occitanie, France.
Christelle GrafDepartment of Obstetrics and Gynaecology, Centre Hospitalier Universitaire de Montpellier, Montpellier, France.
Jacques ReynesDepartment of Infectious and Tropical Diseases, Centre Hospitalier Universitaire de Montpellier, Montpellier, France.
Michel SegondyPCCEI, Inserm, University Montpellier, Montpellier, Occitanie, France.
Vincent TriboutDepartment of Infectious and Tropical Diseases, Centre Hospitalier Universitaire de Montpellier, Montpellier, France.
Jacques RavelInstitute for Genome Sciences, Department of Microbiology and Immunology, University of Maryland School of Medicine, Baltimore, Maryland, USA.
Nathalie BoullePCCEI, Inserm, University Montpellier, Montpellier, Occitanie, France.
Carmen Lia MurallNational Microbiology Laboratory (NML), Montreal Public Health Agency of Canada (PHAC), Winnipeg, Canada.
Vincent PedergnanaMIVEGEC, IRD, Université de Montpellier, Centre National de la Recherche Scientifique, Montpellier, Occitanie, France.
Jean-François DeleuzeCentre National de Recherche en Génomique Humaine (CNRGH),, Université Paris-Saclay, Évry-Courcouronnes, France.ORCID https://orcid.org/0000-0002-5358-4463

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The composition of the vaginal microbiota is known to be highly structured into five main community state types (CSTs) that are found in all human populations. Several associations between perceived ethnicity and the type of community have been reported but analyses of human genetic data, especially genome wide association studies (GWAS), remain limited and mostly rely on phenotypic traits rather than microbial DNA data. Methods: Analysing genotyping data from in 168 women from the PAPCLEAR cohort study in France, we perform a GWAS looking for human genetic polymorphisms associated with vaginal microbiota community composition. For the latter, we use Simpson diversity and community state type (CST) as summary statistics to summarise 16S RNA metabarcoding data. Results: We show that inverse Simpson diversity is the trait related to the vaginal microbiota that is best explained by the human genome. Furthermore, we identify several genomic regions associated with variations in this trait and show that the covariates associated with vaginal microbiota composition do not correlate with these genetic variants. Conclusion: This is one of the first GWAS to use microbial genetic data instead of symptoms to characterise the vaginal microbiota. However, it remains limited because of the size of our cohort and our results call for more powered studies in terms of participants and genome coverage.

Indexed as

CSTdiversityGWAShuman geneticsSNPvaginal microbiotavariants

Identifiers

PMID41867416
PMCPMC13003221

What OpenQuestion holds

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Registered trials

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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.