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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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