| Title: | Rare variant analyses provide insights into the genetic architecture of endometriosis |
| Journal: | Human Genomics |
| Published: | 24 Feb 2026 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/41736152/ |
| DOI: | https://doi.org/10.1186/s40246-026-00934-x |
| URL: | http://dx.doi.org/10.1186/s40246-026-00934-x |
Publication 17646
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Abstract
BackgroundEndometriosis (EMs) is a prevalent gynecologic disorder that often causes severe chronic pelvic pain and infertility. Although genome-wide association studies have identified common variants of EMs, the contribution of rare variants remains unclear.ResultsWe conducted an exome-wide analysis in 87,100 unrelated female participants of European ancestry from the UK Biobank. Single variant association tests for rare variants and gene-based analyses were performed, with replication in the FinnGen and Biobank Japan cohorts. No single rare variants achieved genome-wide significance ($$p<5\times {10}^{-8}$$). While gene-based analyses identified SOGA1 significantly associated with EMs at the Bonferroni-corrected threshold of $$p<2.98\times {10}^{-6}$$, which was replicated in both external cohorts. Functional analyses indicated involvement of implicated genes and interaction networks in regulating gluconeogenesis, muscle filament sliding, and autophagosome. We also observed expression differences of SOGA1 across various cell types and found significant cell type-specific enrichments for EMs.ConclusionsThis study establishes the contribution of rare genetic variants to endometriosis pathogenesis through the discovery of a novel susceptibility gene, advancing the genetic understanding of this disease.</p>
4 Authors
- Yuanyuan Gui
- Yuhan Xie
- Xiaomei Tong
- Hongyu Zhao
1 Application
| Application ID | Title |
|---|---|
| 29900 | Defining physical activity phenotypes based on objective measures and dissecting the genetic and phenotypic relationships of physical activity with diseases and health outcomes |
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