Evidence map›Paper›PMID 34268601›Full record

ArticleHuman genetics2021

Genetic analyses of gynecological disease identify genetic relationships between uterine fibroids and endometrial cancer, and a novel endometrial cancer genetic risk region at the WNT4 1p36.12 locus.

Pik Fang Kho, Sally Mortlock, Endometrial Cancer Association Consortium, International Endometriosis Genetics Consortium, Peter A W Rogers, Dale R Nyholt, Grant W Montgomery, Amanda B Spurdle, Dylan M Glubb, Tracy A O'Mara

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In one paragraph

Article in Human genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 2 pooled it
4.8field-weighted citation impact, top 5% 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

29 citing papers in PubMed, 2 syntheses or guidelines pooled it, 34 citations in OpenAlex.

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  19. New concepts on the etiology of endometriosis.The journal of obstetrics and gynaecology research · 2023
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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

10 authors at 4 institutions in 1 country.

Pik Fang KhoDepartment of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
Sally MortlockThe Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia.
Endometrial Cancer Association Consortium
International Endometriosis Genetics Consortium
Peter A W RogersDepartment of Obstetrics and Gynaecology, Gynaecology Research Centre, Royal Women's Hospital, University of Melbourne, Parkville, VIC, Australia.
Dale R NyholtSchool of Biomedical Science, Faculty of Health, Queensland University of Technology, Brisbane, QLD, Australia.
Grant W MontgomeryThe Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia.
Amanda B SpurdleDepartment of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
Dylan M Glubb *Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
Tracy A O'Mara *Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia. Tracy.OMara@qimrberghofer.edu.au.ORCID http://orcid.org/0000-0002-5436-3232
QIMR Berghofer Medical Research Institute · AURoyal Women's Hospital · AUThe University of Queensland · AUQueensland University of Technology · AU

Funding

National Health and Medical Research Council APP1173170National Health and Medical Research Council APP1177524National Health and Medical Research Council GNT1177194QIMR Berghofer Medical Research Institute (AU) Postgraduate Top-Up ScholarshipQueensland University of Technology Australian Government Research Training Program PhD Scholarship
6 · The paper itself

Abstract

Endometriosis, polycystic ovary syndrome (PCOS) and uterine fibroids have been proposed as endometrial cancer risk factors; however, disentangling their relationships with endometrial cancer is complicated due to shared risk factors and comorbidities. Using genome-wide association study (GWAS) data, we explored the relationships between these non-cancerous gynecological diseases and endometrial cancer risk by assessing genetic correlation, causal relationships and shared risk loci. We found significant genetic correlation between endometrial cancer and PCOS, and uterine fibroids. Adjustment for genetically predicted body mass index (a risk factor for PCOS, uterine fibroids and endometrial cancer) substantially attenuated the genetic correlation between endometrial cancer and PCOS but did not affect the correlation with uterine fibroids. Mendelian randomization analyses suggested a causal relationship between only uterine fibroids and endometrial cancer. Gene-based analyses revealed risk regions shared between endometrial cancer and endometriosis, and uterine fibroids. Multi-trait GWAS analysis of endometrial cancer and the genetically correlated gynecological diseases identified a novel genome-wide significant endometrial cancer risk locus at 1p36.12, which replicated in an independent endometrial cancer dataset. Interrogation of functional genomic data at 1p36.12 revealed biologically relevant genes, including WNT4 which is necessary for the development of the female reproductive system. In summary, our study provides genetic evidence for a causal relationship between uterine fibroids and endometrial cancer. It further provides evidence that the comorbidity of endometrial cancer, PCOS and uterine fibroids may partly be due to shared genetic architecture. Notably, this shared architecture has revealed a novel genome-wide risk locus for endometrial cancer.

Indexed as

Genetic LociEndometrial NeoplasmsEndometriosisFemaleGenome-Wide Association StudyHumansLeiomyomaMendelian Randomization AnalysisNeoplasm ProteinsPolycystic Ovary SyndromeWnt4 ProteinNeoplasm ProteinsWnt4 ProteinWNT4 protein, human

Identifiers

PMID34268601
OpenAlexW3180852380

What OpenQuestion holds

Textmetadata
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.