Evidence map›Paper›PMID 40262193›Full record

ArticleHuman reproduction (Oxford, England)2025

The phenotypic and genetic association between endometriosis and immunological diseases.

Nina Shigesi, Holly R Harris, Hai Fang, Anne Ndungu, Matthew R Lincoln, International Endometriosis Genome Consortium, 23andMe Research Team, Chris Cotsapas, Julian Knight, Stacey A Missmer and 4 more

Abstract read
In one paragraph

Article in Human reproduction (Oxford, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Observational
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  4. Review
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  6. The role ofFrontiers in immunology · 2026
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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

14 authors.

Nina ShigesiOxford Endometriosis CaRe Centre, Nuffield Department of Women's and Reproductive Health, John Radcliffe Hospital, University of Oxford, Oxford, UK.
Holly R HarrisPublic Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.ORCID 0000-0002-2572-6727
Hai FangCentre for Human Genetics, University of Oxford, Oxford, UK.
Anne NdunguCentre for Human Genetics, University of Oxford, Oxford, UK.
Matthew R LincolnInstitute of Medical Sciences, University of Toronto, Toronto, ON, Canada.ORCID 0000-0003-2962-6253
International Endometriosis Genome Consortium
23andMe Research Team
Chris CotsapasCenter for Neurocognition and Behavior/Center for Neurodevelopment and Plasticity, Wu Tsai Institute, Yale University, New Haven, CT, USA.
Julian KnightCentre for Human Genetics, University of Oxford, Oxford, UK.ORCID 0000-0002-0377-5536
Stacey A MissmerDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Andrew P MorrisCentre for Genetics and Genomics Versus Arthritis, Centre for Musculoskeletal Research, The University of Manchester, Manchester, UK.ORCID 0000-0002-6805-6014
Christian M BeckerOxford Endometriosis CaRe Centre, Nuffield Department of Women's and Reproductive Health, John Radcliffe Hospital, University of Oxford, Oxford, UK.ORCID 0000-0002-9870-9581
Nilufer RahmiogluOxford Endometriosis CaRe Centre, Nuffield Department of Women's and Reproductive Health, John Radcliffe Hospital, University of Oxford, Oxford, UK.ORCID 0000-0002-5169-8571
Krina T ZondervanOxford Endometriosis CaRe Centre, Nuffield Department of Women's and Reproductive Health, John Radcliffe Hospital, University of Oxford, Oxford, UK.ORCID 0000-0002-0275-9905

Funding

EU Horizon 2020 funded project FEMaLe 101017562National Natural Science Foundation of China 32170663Wellbeing of Women UK RG2031
6 · The paper itself

Abstract

study questionIs there an increased risk of immunological diseases among endometriosis patients, and does a shared genetic basis contribute to this risk? SUMMARY ANSWER: Endometriosis patients show a significantly increased risk of autoimmune, autoinflammatory, and mixed-pattern diseases, including rheumatoid arthritis, multiple sclerosis, coeliac disease, osteoarthritis, and psoriasis, with genetic correlations between endometriosis and osteoarthritis, rheumatoid arthritis, and multiple sclerosis, and a potential causal link to rheumatoid arthritis. WHAT IS KNOWN ALREADY: The epidemiological evidence for an increased risk of immunological diseases among women with endometriosis is limited in scope and has varied in robustness due to the opportunity for biases. The presence of a biological basis for increased comorbidity across immunological conditions has not been investigated. Here we investigate the phenotypic and genetic association between endometriosis and 31 immune conditions in the UK Biobank. STUDY DESIGN, SIZE, DURATION: Phenotypic analyses between endometriosis and immune conditions (17 classical autoimmune, 10 autoinflammatory, and 4 mixed-pattern diseases) were conducted using two approaches (8223 endometriosis, 64 620 immunological disease cases): (i) retrospective cohort study design to incorporate temporality between diagnoses and (ii) cross-sectional analysis for simple association. Genome-wide association studies (GWAS) and meta-analyses for those immune conditions that showed phenotypic association with endometriosis (1493-77 052 cases) were conducted. PARTICIPANTS/MATERIALS, SETTING,

methodsComprehensive phenotypic association analyses were conducted in females in the UK Biobank. GWAS for immunological conditions were conducted in females-only and sex-combined study populations in UK Biobank and meta-analysed with existing largest available GWAS results. Genetic correlation and Mendelian randomization (MR) analyses were conducted to investigate potential causal relationships. Those immune conditions with significant genetic correlation with endometriosis were included in multi-trait analysis of GWAS to boost discovery of novel and shared genetic variants. These shared variants were functionally annotated to identify affected genes utilizing expression quantitative trait loci (eQTL) data from GTEx and eQTLGen databases. Biological pathway enrichment analysis was conducted to identify shared underlying biological pathways. MAIN RESULTS AND THE ROLE OF CHANCE: In both retrospective cohort and cross-sectional analyses, endometriosis patients were at significantly increased (30-80%) risk of classical autoimmune (rheumatoid arthritis, multiple sclerosis, coeliac disease), autoinflammatory (osteoarthritis), and mixed-pattern (psoriasis) diseases. Osteoarthritis (genetic correlation (rg) = 0.28, P = 3.25 × 10-15), rheumatoid arthritis (rg = 0.27, P = 1.5 × 10-5) and multiple sclerosis (rg = 0.09, P = 4.00 × 10-3) were significantly genetically correlated with endometriosis. MR analysis suggested a causal association between endometriosis and rheumatoid arthritis (OR = 1.16, 95% CI = 1.02-1.33). eQTL analyses highlighted genes affected by shared risk variants, enriched for seven pathways across all four conditions, with three genetic loci shared between endometriosis and osteoarthritis (BMPR2/2q33.1, BSN/3p21.31, MLLT10/10p12.31) and one with rheumatoid arthritis (XKR6/8p23.1). LIMITATIONS, REASONS FOR CAUTION: We conducted the first female-specific GWAS analyses for immune conditions. Given the novelty of these analyses, the sample sizes from which results were derived were limited compared to sex-combined GWAS meta-analyses, which limited the power to use female-specific summary statistics to uncover the shared genetic basis with endometriosis in follow-up analyses. Secondly, the 39 genome-wide significant endometriosis-associated variants used as instrumental variables in the MR analysis explained approximately 5% of disease variation, which may account for the nominal or non-significant MR results. WIDER IMPLICATIONS OF THE

findingsEndometriosis patients have a moderately increased risk for osteoarthritis, rheumatoid arthritis, and to a lesser extent, multiple sclerosis, due to underlying shared biological mechanisms. Clinical implications primarily involve the need for increased awareness and vigilance. The shared genetic basis opens up opportunities for developing new treatments or repurposing therapies across these conditions. STUDY FUNDING/COMPETING INTEREST(S): We thank all the UK Biobank and 23andMe participants. Part of this research was conducted using the UK Biobank Resource under Application Number 9637. N.R. was supported by a grant from the Wellbeing of Women UK (RG2031) and the EU Horizon 2020 funded project FEMaLe (101017562). A.P.M. was supported in part by Versus Arthritis (grant 21754). H.F. was supported by the National Natural Science Foundation of China (grant 32170663). N.R., S.A.M., and K.T.Z. were supported in part by a grant from CDMRP DoD PRMRP (W81XWH-20-PRMRP-IIRA). K.T.Z. and C.M.B. reported grants in 3 years prior, outside the submitted work, from Bayer AG, AbbVie Inc., Volition Rx, MDNA Life Sciences, PrecisionLife Ltd., and Roche Diagnostics Inc. S.A.M. reports grants in the 3 years prior, outside this submitted work, from AbbVie Inc. N.R. is a consultant for Endogene.bio, outside this submitted work. The other authors have no conflicts of interest to declare. TRIAL REGISTRATION NUMBER: N/A.

Indexed as

Autoimmune DiseasesEndometriosisImmune System DiseasesAdultCross-Sectional StudiesFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMiddle AgedPhenotypePolymorphism, Single NucleotideRetrospective StudiesUnited Kingdomcoeliac diseaseendometriosisgeneticsGWASimmune conditionsmultiple sclerosisosteoarthritispsoriasisrheumatoid arthritis

Identifiers

PMID40262193
PMCPMC12127507

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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.