Evidence map›Paper›PMID 37410157›Full record

ArticleHuman genetics2023

Genomic characterisation of the overlap of endometriosis with 76 comorbidities identifies pleiotropic and causal mechanisms underlying disease risk.

Isabelle M McGrath, International Endometriosis Genetics Consortium, Grant W Montgomery, Sally Mortlock

Open access · hybridAbstract read
In one paragraph

Article in Human genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
7.4field-weighted citation impact, top 2% 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

14 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Review
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  4. Article
  5. Review
  6. Unraveling the Core of Endometriosis: The Impact of Endocrine Disruptors.International journal of molecular sciences · 2025
    Review
  7. Article
  8. Article
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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

4 authors at 1 institution in 1 country.

Isabelle M McGrathThe Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, 4072, Australia.ORCID http://orcid.org/0000-0003-4244-8842
International Endometriosis Genetics Consortium
Grant W MontgomeryThe Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, 4072, Australia.ORCID http://orcid.org/0000-0002-4140-8139
Sally MortlockThe Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, 4072, Australia. s.mortlock@imb.uq.edu.au.ORCID http://orcid.org/0000-0003-2327-9465
The University of Queensland · AU

Funding

National Health and Medical Research Council Fellowship GNT1177194National Health and Medical Research Council MRFF Research Grant MRF1199785
6 · The paper itself

Abstract

Comorbid conditions can be driven by underlying pleiotropic and causal mechanisms that can provide insights into shared molecular and biological processes contributing to disease risk. Endometriosis is a chronic condition affecting one in nine women of reproductive age and poses many challenges including lengthy diagnostic delays and limited treatment efficacy owing to poor understanding of disease aetiology. To shed light on the underlying biological mechanisms and to identify potential risk factors, we examine the epidemiological and genomic relationship between endometriosis and its comorbidities. In the UK Biobank 292 ICD10 codes were epidemiologically correlated with endometriosis diagnosis, including gynaecological, immune, infection, pain, psychiatric, cancer, gastrointestinal, urinary, bone and cardiovascular traits. A subset of the identified comorbidities (n = 76) underwent follow-up genetic analysis. Whilst Mendelian randomisation suggested causality was not responsible for most comorbid relationships, 22 traits were genetically correlated with endometriosis, including pain, gynaecological and gastrointestinal traits, suggestive of a shared genetic background. Pleiotropic genetic variants and genes were identified using gene-based and colocalisation analysis. Shared genetic risk factors and potential target genes suggest a diverse collection of biological systems are involved in these comorbid relationships including coagulation factors, development of the female reproductive tract and cell proliferation. These findings highlight the diversity of traits with epidemiological and genomic overlap with endometriosis and implicate a key role for pleiotropy in the comorbid relationships.

Indexed as

EndometriosisFemaleGenome-Wide Association StudyGenomicsHumansPainPhenotypeRisk Factors

Identifiers

PMID37410157
PMCPMC10449967
OpenAlexW4383302300

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.