Evidence map›Paper›PMID 25722978›Full record

ArticleBioMed research international2015

Identification of susceptibility genes for peritoneal, ovarian, and deep infiltrating endometriosis using a pooled sample-based genome-wide association study.

Bruno Borghese, Jörg Tost, Magalie de Surville, Florence Busato, Frank Letourneur, Françoise Mondon, Daniel Vaiman, Charles Chapron

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
4.6field-weighted citation impact, top 6% 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

10 citing papers in PubMed, 38 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Defining the genetic profile of endometriosis.Experimental and therapeutic medicine · 2019
    Review
  10. 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

8 authors at 4 institutions in 1 country.

Bruno BorgheseInstitut Cochin, Université Paris Descartes, Sorbonne Paris Cité, CNRS (UMR 8104), 75014 Paris, France ; Inserm, U1016, 75014 Paris, France ; Université Paris Descartes, Sorbonne Paris Cité, Service de Gynécologie Obstétrique 2 et Médecine de la Reproduction, Hôpital Cochin, Hôpitaux Universitaires Paris Centre, AP-HP, 74014 Paris, France.
Jörg TostLaboratoire Epigénétique et Environnement, Centre National de Génotypage, Institut de Génomique/CEA, 91000 Evry, France.
Magalie de SurvilleLaboratoire Epigénétique et Environnement, Centre National de Génotypage, Institut de Génomique/CEA, 91000 Evry, France.
Florence BusatoLaboratoire Epigénétique et Environnement, Centre National de Génotypage, Institut de Génomique/CEA, 91000 Evry, France.
Frank LetourneurInstitut Cochin, Université Paris Descartes, Sorbonne Paris Cité, CNRS (UMR 8104), 75014 Paris, France ; Inserm, U1016, 75014 Paris, France.
Françoise MondonInstitut Cochin, Université Paris Descartes, Sorbonne Paris Cité, CNRS (UMR 8104), 75014 Paris, France ; Inserm, U1016, 75014 Paris, France.
Daniel VaimanInstitut Cochin, Université Paris Descartes, Sorbonne Paris Cité, CNRS (UMR 8104), 75014 Paris, France ; Inserm, U1016, 75014 Paris, France.
Charles ChapronInstitut Cochin, Université Paris Descartes, Sorbonne Paris Cité, CNRS (UMR 8104), 75014 Paris, France ; Inserm, U1016, 75014 Paris, France ; Université Paris Descartes, Sorbonne Paris Cité, Service de Gynécologie Obstétrique 2 et Médecine de la Reproduction, Hôpital Cochin, Hôpitaux Universitaires Paris Centre, AP-HP, 74014 Paris, France.
Institut Cochin · FRGenoscope · FRHôpital Cochin · FRCommissariat à l'Énergie Atomique et aux Énergies Alternatives · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Characterizing genetic contributions to endometriosis might help to shorten the time to diagnosis, especially in the most severe forms, but represents a challenge. Previous genome-wide association studies (GWAS) made no distinction between peritoneal endometriosis (SUP), endometrioma (OMA), and deep infiltrating endometriosis (DIE). We therefore conducted a pooled sample-based GWAS and distinguished histologically confirmed endometriosis subtypes. We performed an initial discovery step on 10-individual pools (two pools per condition). After quality control filtering, a Monte-Carlo simulation was used to rank the significant SNPs according to the ratio of allele frequencies and the coefficient of variation. Then, a replication step of individual genotyping was conducted in an independent cohort of 259 cases and 288 controls. Our approach was very stringent but probably missed a lot of information due to the Monte-Carlo simulation, which likely explained why we did not replicate results from "classic" GWAS. Four variants (rs227849, rs4703908, rs2479037, and rs966674) were significantly associated with an increased risk of OMA. Rs4703908, located close to ZNF366, provided a higher risk of OMA (OR = 2.22; 95% CI: 1.26-3.92) and DIE, especially with bowel involvement (OR = 2.09; 95% CI: 1.12-3.91). ZNF366, involved in estrogen metabolism and progression of breast cancer, is a new biologically plausible candidate for endometriosis.

Indexed as

Genetic Predisposition to DiseaseGenome-Wide Association StudyCarrier ProteinsEndometriosisFemaleGene FrequencyGenotypeHumansOvaryPeritoneumPolymorphism, Single NucleotideCarrier ProteinsZNF366 protein, human

Identifiers

PMID25722978
PMCPMC4334615
OpenAlexW2036365107

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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.