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Peer-reviewedCC BY-NC-ND 4.0Communications Biology

Cross trait analysis reveals shared genetic architecture of eight common female reproductive disorders

  • Ziwei Xie1,2
  • Hao Xiong3
  • Yingying Lin1,2
  • Dongmei He1,2
  • Yiqi Li4
  • Xinyu Zhou1,2
  • Yan Zheng2,5
  • Yuxin Feng1,2
  • Yunan Zhang1,2
  • Xiaoyun Chen1,2
  • Ming Wei1,2
  • Xiaohong Wang1
5 affiliations
  1. 1Department of Obstetrics and Gynecology, Affiliated People’s Hospital of Fujian University of Traditional Chinese Medicine, Fuzhou, China
  2. 2First Clinical Medical College, Fujian University of Traditional Chinese Medicine, Fuzhou, China
  3. 3Department of Clinical Medicine, Jiangxi University of Chinese Medicine, Nanchang, China
  4. 4College of Traditional Chinese Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, China
  5. 5Second Affiliated People’s Hospital of Fujian University of Traditional Chinese Medicine, Fuzhou, China
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Abstract

Female reproductive disorders widely affect women of reproductive age, yet their shared genetic basis remains incompletely understood, limiting insight into the biological mechanisms linking these conditions. Here, we analyse genetic data from eight common female reproductive disorders to define their shared genetic architecture, primarily through a latent common factor genome wide association study and complemented by a multivariate genome wide association study. We integrate functional annotation to characterise associated loci and use fine mapping to prioritise putative causal variants. We also integrate Multi marker Analysis of GenoMic Annotation and transcriptome wide association analysis to identify candidate susceptibility genes. In addition, we systematically evaluate associations between female reproductive disorders and a broad range of phenotypes and examine their relationships with metabolites, inflammatory mediators, and plasma proteins. Finally, by integrating tissue specific expression, cell type enrichment, and functional genomic annotation, we investigate prioritised susceptibility loci and their putative regulatory elements.

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Cite

BibTeXRIS
BibTeX
@article{xie2026cross,
  title = {{Cross trait analysis reveals shared genetic architecture of eight common female reproductive disorders}},
  author = {Ziwei Xie and Hao Xiong and Yingying Lin and Dongmei He and Yiqi Li and Xinyu Zhou and Yan Zheng and Yuxin Feng and Yunan Zhang and Xiaoyun Chen and Ming Wei and Xiaohong Wang},
  journal = {Communications Biology},
  year = {2026},
  month = jun,
  doi = {10.1038/s42003-026-10426-2},
  url = {https://doi.org/10.1038/s42003-026-10426-2},
  note = {CC BY-NC-ND 4.0},
}
RIS
TY  - JOUR
TI  - Cross trait analysis reveals shared genetic architecture of eight common female reproductive disorders
AU  - Ziwei Xie
AU  - Hao Xiong
AU  - Yingying Lin
AU  - Dongmei He
AU  - Yiqi Li
AU  - Xinyu Zhou
AU  - Yan Zheng
AU  - Yuxin Feng
AU  - Yunan Zhang
AU  - Xiaoyun Chen
AU  - Ming Wei
AU  - Xiaohong Wang
PY  - 2026
DA  - 2026/06/08
JO  - Communications Biology
DO  - 10.1038/s42003-026-10426-2
UR  - https://doi.org/10.1038/s42003-026-10426-2
AB  - Female reproductive disorders widely affect women of reproductive age, yet their shared genetic basis remains incompletely understood, limiting insight into the biological mechanisms linking these conditions. Here, we analyse genetic data from eight common female reproductive disorders to define their shared genetic architecture, primarily through a latent common factor genome wide association study and complemented by a multivariate genome wide association study. We integrate functional annotation to characterise associated loci and use fine mapping to prioritise putative causal variants. We also integrate Multi marker Analysis of GenoMic Annotation and transcriptome wide association analysis to identify candidate susceptibility genes. In addition, we systematically evaluate associations between female reproductive disorders and a broad range of phenotypes and examine their relationships with metabolites, inflammatory mediators, and plasma proteins. Finally, by integrating tissue specific expression, cell type enrichment, and functional genomic annotation, we investigate prioritised susceptibility loci and their putative regulatory elements.
SN  - 2399-3642
ER  -