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Correction: Large-scale genome-wide meta-analysis of polycystic ovary syndrome suggests shared genetic architecture for different diagnosis criteria

English version

Autoři: Felix Day; Tugce Karaderi; Michelle R. Jones; Cindy Meun; Chunyan He; Alex Drong; Peter Kraft; Nan Lin; Hongyan Huang; Linda Broer; Reedik Mägi; Richa Saxena; Triin Laisk; Margrit Urbanek; M. Geoffrey Hayes; Gudmar Thorleifsson; Juan Fernandez-Tajes; Anubha Mahajan; Benjamin H. Mullin; Bronwyn G. A. Stuckey; Timothy D. Spector; Scott G. Wilson; Mark O. Goodarzi; Lea Davis; Barbara Obermayer-Pietsch; André G. Uitterlinden; Verneri Anttila; Benjamin M. Neale; Marjo-Riitta Jarvelin; Bart Fauser; Irina Kowalska; Jenny A. Visser; Marianne Andersen; Ken Ong; Elisabet Stener-Victorin; David Ehrmann; Richard S. Legro; Andres Salumets; Mark I. McCarthy; Laure Morin-Papunen; Unnur Thorsteinsdottir; Kari Stefansson; ; Unnur Styrkarsdottir; John R. B. Perry; Andrea Dunaif; Joop Laven; Steve Franks; Cecilia M. Lindgren; Corrine K. Welt
Vyšlo v časopise: Correction: Large-scale genome-wide meta-analysis of polycystic ovary syndrome suggests shared genetic architecture for different diagnosis criteria. PLoS Genet 15(12): e32767. doi:10.1371/journal.pgen.1008517
Kategorie: Correction
doi: https://doi.org/10.1371/journal.pgen.1008517

Zdroje

1. Day F, Karaderi T, Jones MR, Meun C, He C, Drong A, et al. (2018) Large-scale genome-wide meta-analysis of polycystic ovary syndrome suggests shared genetic architecture for different diagnosis criteria. PLoS Genet 14(12): e1007813. doi: 10.1371/journal.pgen.1007813 30566500

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