Large-Scale Genome-Wide Meta Analysis of Polycystic Ovary Syndrome
bioRxiv preprint doi: https://doi.org/10.1101/290502; this version posted March 28, 2018. The copyright holder for this preprint1 (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC 4.0 International license. Large-Scale Genome-Wide Meta Analysis of Polycystic Ovary Syndrome Suggests Shared Genetic Architecture for Different Diagnosis Criteria. Felix Day1§, Tugce Karaderi2,3§, Michelle R. Jones4§, Cindy Meun5§, Chunyan He6,7, Alex Drong2, Peter Kraft8, Nan Lin6,7, Hongyan Huang8, Linda Broer9, Reedik Magi10, Richa Saxena11, Triin Laisk-Podar12,10, Margrit Urbanek13,14 M. Geoffrey Hayes13,14,15, Gudmar Thorleifsson16, Juan Fernandez-Tajes2, Anubha Mahajan2,17, Benjamin H. Mullin18,19, Bronwyn G.A. Stuckey18,19,20, Timothy D. Spector21, Scott G. Wilson18,19,21, Mark O. Goodarzi22, Lea Davis23,24, Barbara Obermeyer-Pietsch25, André G. Uitterlinden9, Verneri Anttila26, Benjamin M Neale27,26, Marjo-Riitta Jarvelin28,29,30,31, Bart Fauser32, Irina Kowalska33, Jenny A. Visser34, Marianne Anderson35, Ken Ong1, Elisabet Stener-Victorin36, David Ehrmann37, Richard S. Legro38, Andres Salumets39,40,41,42, Mark I. McCarthy2,17,43, Laure Morin-Papunen44, Unnur Thorsteinsdottir16,45, Kari Stefansson16,45, 23andMe Research Team46, Unnur Styrkarsdottir16§, John Perry1§, Andrea Dunaif47,13§, Joop Laven5§, Steve Franks48§, Cecilia M. Lindgren2§*, Corrine K. Welt49,50§* §These authors contributed equally to the work. *Corresponding authors 1 MRC Epidemiology Unit, University of Cambridge, United Kingdom 2 The Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK 3 Department of Biological Sciences, Faculty of Arts and Sciences, Eastern Mediterranean University, Famagusta, Cyprus 4 Center for Bioinformatics & Functional Genomics, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA.
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