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Peer-reviewedLicence not statedPhenomics

Expanding the Knowledge of the Genetic Spectrum of Primary Ovarian Insufficiency Using a Cohort of 118 Chinese Cases

  • Yuncheng Pan1
  • Shuting Ren1,2
  • Jitong Mo1
  • Zixue Zhou1,2
  • Yiqing Liu1
  • Lang Zhou1
  • Xiaojin Zhang1,3
  • Yanhua Wu1,3,4
4 affiliations
  1. 1Obstetrics and Gynecology Hospital, NHC Key Laboratory of Reproduction Regulation, State Key Laboratory of Genetic, Engineering at School of Life Sciences, Shanghai Institute of Planned Parenthood Research, Fudan University, Shanghai, 200011 China
  2. 2Zhangjiang Fudan International Innovation Center, Human Phenome Institute, Fudan University, Shanghai, 201203 China
  3. 3Shanghai Key Laboratory of Female Reproductive Endocrine Related Diseases, Shanghai, 200011 China
  4. 4National Demonstration Center for Experimental Biology Education, School of Life Sciences, Fudan University, Shanghai, 200433 China
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Cite

BibTeXRIS
BibTeX
@article{pan2026expanding,
  title = {{Expanding the Knowledge of the Genetic Spectrum of Primary Ovarian Insufficiency Using a Cohort of 118 Chinese Cases}},
  author = {Yuncheng Pan and Shuting Ren and Jitong Mo and Zixue Zhou and Yiqing Liu and Lang Zhou and Xiaojin Zhang and Yanhua Wu},
  journal = {Phenomics},
  year = {2026},
  month = jun,
  doi = {10.1007/s43657-025-00224-x},
  url = {https://doi.org/10.1007/s43657-025-00224-x},
}
RIS
TY  - JOUR
TI  - Expanding the Knowledge of the Genetic Spectrum of Primary Ovarian Insufficiency Using a Cohort of 118 Chinese Cases
AU  - Yuncheng Pan
AU  - Shuting Ren
AU  - Jitong Mo
AU  - Zixue Zhou
AU  - Yiqing Liu
AU  - Lang Zhou
AU  - Xiaojin Zhang
AU  - Yanhua Wu
PY  - 2026
DA  - 2026/06/29
JO  - Phenomics
DO  - 10.1007/s43657-025-00224-x
UR  - https://doi.org/10.1007/s43657-025-00224-x
SN  - 2730-583X
SN  - 2730-5848
ER  -