Xueying Gao
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Author Correction: Data-driven subtypes of polycystic ovary syndrome and their association with clinical outcomes - Nature Medicine
Correction to: Nature Medicine https://doi.org/10.1038/s41591-025-03984-1, published online 29 October 2025. In the version of this article initially published, there was a typo in the graph shown in Fig. 1g, where in the label now reading “SHBG-PCOS; 53%,” the percentage was originally listed as “34%.” The figure has been amended in the HTML and PDF versions of the article.
Multi-ancestry genome-wide association analyses of polycystic ovary syndrome - Nature Genetics
Abstract Polycystic ovary syndrome (PCOS), the leading endocrine disorder in women of reproductive age, is highly heritable, yet its polygenic architecture remains poorly understood. Here we conducted a genome-wide association study on 12,419 Chinese women with PCOS and 34,235 controls, followed by a multi-ancestry meta-analysis with up to 13,773 European cases and 411,088 controls, identifying 94 independent loci, 73 of which were previously unreported.
Data-driven subtypes of polycystic ovary syndrome and their association with clinical outcomes - Nature Medicine
Abstract Polycystic ovary syndrome (PCOS) is a common and heterogeneous endocrine disorder that affects 11%–13% of women worldwide, with profound implications for fertility and long-term metabolic health.
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