Evidence map›Paper›PMID 25882541›Full record

ArticleMolecular human reproduction2015

Genetic burden associated with varying degrees of disease severity in endometriosis.

Yadav Sapkota, John Attia, Scott D Gordon, Anjali K Henders, Elizabeth G Holliday, Nilufer Rahmioglu, Stuart MacGregor, Nicholas G Martin, Mark McEvoy, Andrew P Morris and 4 more

Open access · bronzeAbstract read
In one paragraph

Article in Molecular human reproduction, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
7.2field-weighted citation impact, top 3% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Review
  6. Review
  7. New concepts on the etiology of endometriosis.The journal of obstetrics and gynaecology research · 2023
    Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Polygenic Risk Score Prediction for Endometriosis.Frontiers in reproductive health · 2021
    Article
  13. Article
  14. Article
  15. The role of IL‑16 gene polymorphisms in endometriosis.International journal of molecular medicine · 2018
    Article
  16. The role of gene polymorphisms in endometriosis.Molecular medicine reports · 2017
    Article
  17. Article
  18. Article
  19. Article
  20. Review
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

14 authors at 4 institutions in 2 countries.

Yadav SapkotaQIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia yadav.sapkota@qimrberghofer.edu.au.
John AttiaCentre for Clinical Epidemiology and Biostatistics, School of Medicine and Public Health, University of Newcastle, Newcastle, New South Wales, Australia Public Health Research Program, Hunter Medical Research Institute, Newcastle, New South Wales, Australia.
Scott D GordonQIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.
Anjali K HendersQIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.
Elizabeth G HollidayCentre for Clinical Epidemiology and Biostatistics, School of Medicine and Public Health, University of Newcastle, Newcastle, New South Wales, Australia Public Health Research Program, Hunter Medical Research Institute, Newcastle, New South Wales, Australia.
Nilufer RahmiogluGenetic and Genomic Epidemiology Unit, Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK.
Stuart MacGregorQIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.
Nicholas G MartinQIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.
Mark McEvoyCentre for Clinical Epidemiology and Biostatistics, School of Medicine and Public Health, University of Newcastle, Newcastle, New South Wales, Australia Public Health Research Program, Hunter Medical Research Institute, Newcastle, New South Wales, Australia.
Andrew P MorrisGenetic and Genomic Epidemiology Unit, Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK.
Rodney J ScottPublic Health Research Program, Hunter Medical Research Institute, Newcastle, New South Wales, Australia School of Biomedical Sciences and Pharmacy, University of Newcastle, Newcastle, New South Wales, Australia Division of Genetics, Hunter Area Pathology Service, Newcastle, New South Wales, Australia.
Krina T ZondervanGenetic and Genomic Epidemiology Unit, Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK Nuffield Department of Obstetrics and Gynaecology, University of Oxford, John Radcliffe Hospital, Oxford, UK.
Grant W MontgomeryQIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.
Dale R NyholtQIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Queensland, Australia.
QIMR Berghofer Medical Research Institute · AUUniversity of Newcastle Australia · AUCentre for Human Genetics · GBUniversity of Oxford · GB

Funding

Medical Research Council MR/K011480/1Wellcome Trust 076113Wellcome Trust 084766Wellcome Trust 085235Wellcome Trust 085475Wellcome Trust WT084766/Z/08/ZWellcome Trust WT085235/Z/08/Z
6 · The paper itself

Abstract

Endometriosis is primarily characterized by the presence of tissue resembling endometrium outside the uterine cavity and is usually diagnosed by laparoscopy. The most commonly used classification of disease, the revised American Fertility Society (rAFS) system to grade endometriosis into different stages based on disease severity (I to IV), has been questioned as it does not correlate well with underlying symptoms, posing issues in diagnosis and choice of treatment. Using two independent European genome-wide association (GWA) datasets and top-level classification of the endometriosis cases based on rAFS [minimal or mild (Stage A) and moderate-to-severe (Stage B) disease], we previously showed that Stage B endometriosis has greater contribution of common genetic variation to its aetiology than Stage A disease. Herein, we extend our previous analysis to four endometriosis stages [minimal (Stage I), mild (Stage II), moderate (Stage III) and severe (Stage IV) disease] based on the rAFS classification system and compared the genetic burden across stages. Our results indicate that genetic burden increases from minimal to severe endometriosis. For the minimal disease, genetic factors may contribute to a lesser extent than other disease categories. Mild and moderate endometriosis appeared genetically similar, making it difficult to tease them apart. Consistent with our previous reports, moderate and severe endometriosis showed greater genetic burden than minimal or mild disease. Overall, our results provide new insights into the genetic architecture of endometriosis and further investigation in larger samples may help to understand better the aetiology of varying degrees of endometriosis, enabling improved diagnostic and treatment modalities.

Indexed as

Genetic Predisposition to DiseaseEndometriosisFemaleGenome-Wide Association StudyHumansSeverity of Illness Indexendometriosisgenetic burdengenome-wide association studiespolygenic predictionrAFS classification system

Identifiers

PMID25882541
PMCPMC4487449
OpenAlexW2122501446

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.