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Usage Information

MGA loss-of-function variants cause premature ovarian insufficiency
Shuyan Tang, … , Feng Zhang, Zi-Jiang Chen
Shuyan Tang, … , Feng Zhang, Zi-Jiang Chen
Published November 15, 2024
Citation Information: J Clin Invest. 2024;134(22):e183758. https://doi.org/10.1172/JCI183758.
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Research Article Genetics Reproductive biology Article has an altmetric score of 10

MGA loss-of-function variants cause premature ovarian insufficiency

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Abstract

Although premature ovarian insufficiency (POI), a common cause of female infertility and subfertility, has a well-established hereditary component, the genetic factors currently implicated in POI account for only a limited proportion of cases. Here, using an exome-wide, gene-based case-control analysis in a discovery cohort comprising 1,027 POI cases and 2,733 ethnically matched women controls from China, we found that heterozygous loss-of-function (LoF) variants of MAX dimerization protein (MGA) were significantly enriched in the discovery cohort, accounting for 2.6% of POI cases, while no MGA LoF variants were found in the matched control females. Further exome screening was conducted in 4 additional POI cohorts (2 from China and 2 from the United States) for replication studies, and we identified heterozygous MGA LoF variants in 1.0%, 1.4%, 1.0%, and 1.0% of POI cases, respectively. Overall, a total of 37 distinct heterozygous MGA LoF variants were discovered in 38 POI cases, accounting for approximately 2.0% of the total 1,910 POI cases analyzed in this study. Accordingly, Mga+/− female mice were subfertile, exhibiting shorter reproductive lifespan and decreased follicle number compared with WT, mimicking the observed phenotype in humans. Our findings highlight the essential role of MGA deficiency for impaired female reproductive ability.

Authors

Shuyan Tang, Ting Guo, Chengcheng Song, Lingbo Wang, Jun Zhang, Aleksandar Rajkovic, Xiaoqi Lin, Shiling Chen, Yujun Liu, Weidong Tian, Bangguo Wu, Shixuan Wang, Wenwen Wang, Yunhui Lai, Ao Wang, Shuhua Xu, Li Jin, Hanni Ke, Shidou Zhao, Yan Li, Yingying Qin, Feng Zhang, Zi-Jiang Chen

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Usage data is cumulative from November 2024 through May 2025.

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ISSN: 0021-9738 (print), 1558-8238 (online)

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