medRxivGenetic & Genomic MedicinePreprint
Genetic analysis of female genital tract polyps implicates genome stability, estrogen signalling and shared susceptibility with proliferative gynaecological disorders
Nathan IngoldiD, Stephanie Frankcombe, Kelsie BouttleiD, Emily MoroiD, Daffodil M. CansoniD, Sebastian ZöllneriD, Snehal PatiliD, Jelisaveta DžigurskiiD, Dylan M. GlubbiD, Triin LaiskiD, Tracy A. O’MaraiD
Abstract
Female genital tract (FGT) polyps are common benign growths affecting up to half of all women. However, they carry malignant potential, and their genetic architecture remains poorly defined. We conducted a genome-wide association study (GWAS) meta-analysis across four biobanks (48,400 cases, 477,134 controls), identifying 26 risk loci for FGT polyps, 12 of which were previously unreported. Integrative gene prioritisation highlighted 193 candidate genes, revealing a potential convergent biological mechanism: where germline variation in DNA replication and maintenance (e.g., PRIM1, TERT and HMGA1) compromises genomic stability in the context of hormone-driven proliferation (e.g., ESR1 and GREB1). This susceptibility is further modulated by metabolic drivers of estrogen biosynthesis, underscored by specific adiposity-related loci (e.g. RSPO3 and PLCE1) and the aromatase gene CYP19A1. Mendelian randomisation demonstrated bidirectional causal relationships with endometriosis and fibroids, and endometrial cancer. Leveraging the shared genetic architecture of FGT polyps and other gynaecological disorders via multi-trait analysis revealed an additional 26 loci, validating sub-threshold regions encompassing HMGA1 and GREB1. In total, 52 risk loci were identified (36 novel), 39 of which replicated in an independent cohort. These findings reframe polyps not merely as local gynaecological overgrowths but as manifestations of a systemic proliferative syndrome characterised by dysregulated genome stability and estrogen signalling, which may also impact malignant transformation.
- organism: human
- assay: GWAS summary statistics
- research focus: GWAS / association mapping
- approach: statistical model
- Citations
- 0
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Genome-wide association analysis identifies 27 novel loci associated with uterine leiomyomata revealing common genetic origins with endometriosis
C. Scott Gallagher, Netta Mäkinen, … Cynthia Casson Morton·bioRxiv·May 18, 2018
- Advancing our understanding of genetic risk factors and potential personalized strategies in pelvic organ prolapse: largest GWAS to date reveals 19 novel associated loci
Natàlia Pujol‐Gualdo, Kristi Läll, … Triin Laisk·Nature CommunicationsPeer-reviewed·Jun 23, 2022
- ESR1, WT1, WNT4, ATM and TERT loci are major contributors to uterine leiomyoma predisposition
Niko Välimäki, Heli Kuisma, … Lauri A. Aaltonen·bioRxiv·Mar 29, 2018
- Evidence of a causal relationship between genetic tendency to gain muscle mass and uterine leiomyomata
Eeva Sliz, Jaakko S. Tyrmi, … Johannes Kettunen·medRxiv·Aug 20, 2021
- Sex-specific dissection of adiposity genetics reveals distinct pathways to endometrial cancer risk
Kelsie Bouttle, Dylan M. Glubb, … Tracy A. O’Mara·medRxiv·Mar 31, 2026
- Genome-wide association studies on endometriosis and endometriosis-related infertility
Geneviève Galarneau, Pierre Fontanillas, … Piraye Yurttas Beim·bioRxiv·Sep 7, 2018