Rare variant analyses provide insights into the genetic architecture of endometriosis

Endometriosis (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. We 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. This 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.

Authors

Institutions

Publication Details

Journal
Human Genomics
Published
2026-02-24
DOI
https://doi.org/10.1186/s40246-026-00934-x
Primary Topic
Endometriosis Research and Treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Rare variant analyses provide insights into the genetic architecture of endometriosis

Hanzi Xu, Yuhan Xie, Yuanyuan Gui, Xiaomei Tong
Human Genomics
Endometriosis Research and Treatment
article

Rare variant analyses provide insights into the genetic architecture of endometriosis

Hanzi Xu, Yuhan Xie, Yuanyuan Gui, Xiaomei Tong
article en

Abstract

Endometriosis (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. We 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. This 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.

Human GenomicsVol. 20(1)
Sir Run Run Shaw Hospital (CN), Yale University (US), Yale New Haven Health System (US), Zhejiang Center for Disease Control and Prevention (CN)
Good health and well-being
Openalex Percentile: Top 39%
Endometriosis Research and Treatment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.