Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization
Our bioinformatics combined with MR analysis revealed that CD93, CYBB, DOCK8, IRF1, MBOAT1, MYO1F, NLRP1, NOD2, PIK3R1 increase the risk of PCOS, while PTER decreases the risk of PCOS. This discovery has implications for clinical decision-making in terms of disease diagnosis, prognosis, treatment strategies, and opens up novel avenues for drug development.
Authors
- Qingqing Huang (ORCID: https://orcid.org/0000-0002-0635-7479)
- Yifang He
- Guorong Lyu (ORCID: https://orcid.org/0000-0003-3123-1138)
- Dandan Wang (ORCID: https://orcid.org/0000-0003-2485-3019)
- Xiali Wang (ORCID: https://orcid.org/0000-0001-7798-5029)
- Yanli Wang
- Shuangping Deng
Institutions
- Fujian Medical University (CN)
- Quanzhou Normal University (CN)
- Second Affiliated Hospital of Fujian Medical University (CN)
Publication Details
- Journal
- Frontiers in Endocrinology
- Published
- 2024-12-13
- DOI
- https://doi.org/10.3389/fendo.2024.1431200
- Citations
- 4
- Primary Topic
- Ovarian function and disorders
- Type
- article
- Field-Weighted Citation Impact
- 2.15
Funders
- Fujian Medical University