Causal mechanisms and balancing selection inferred from genetic associations with polycystic ovary syndrome

Felix R. Day, David A. Hinds, Joyce Y. Tung, Lisette Stolk, Unnur Styrkarsdottir, Richa Saxena, Andrew Bjonnes, Linda Broer, David B. Dunger, Bjarni V. Halldorsson, Debbie A. Lawlor, Guillaume Laval, Iain Mathieson, Wendy L. McCardle, Yvonne Louwers, Cindy Meun, Susan Ring, Robert A. Scott, Patrick Sulem, André G. Uitterlinden, Nicholas J. Wareham, Unnur Thorsteinsdottir, Corrine Welt, Kari Stefansson, Joop S. E. Laven, Ken K. Ong () and John R. B. Perry ()
Additional contact information
Felix R. Day: MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Box 285 Institute of Metabolic Science, Addenbrooke’s Hospital
David A. Hinds: 23andMe Inc.
Joyce Y. Tung: 23andMe Inc.
Lisette Stolk: Erasmus MC
Unnur Styrkarsdottir: deCODE Genetics/Amgen
Richa Saxena: Massachusetts General Hospital
Andrew Bjonnes: Massachusetts General Hospital
Linda Broer: Erasmus MC
David B. Dunger: University of Cambridge School of Clinical Medicine
Bjarni V. Halldorsson: deCODE Genetics/Amgen
Debbie A. Lawlor: MRC Integrative Epidemiology Unit at the University of Bristol
Guillaume Laval: Human Evolutionary Genetics, CNRS URA3012 Institut Pasteur
Iain Mathieson: Harvard Medical School
Wendy L. McCardle: School of Social and Community Medicine, University of Bristol, Oakfield House
Yvonne Louwers: Erasmus MC
Cindy Meun: Erasmus MC
Susan Ring: MRC Integrative Epidemiology Unit at the University of Bristol
Robert A. Scott: MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Box 285 Institute of Metabolic Science, Addenbrooke’s Hospital
Patrick Sulem: deCODE Genetics/Amgen
André G. Uitterlinden: Erasmus MC
Nicholas J. Wareham: MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Box 285 Institute of Metabolic Science, Addenbrooke’s Hospital
Unnur Thorsteinsdottir: deCODE Genetics/Amgen
Corrine Welt: Metabolism and Diabetes, University of Utah School of Medicine
Kari Stefansson: deCODE Genetics/Amgen
Joop S. E. Laven: Erasmus MC
Ken K. Ong: MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Box 285 Institute of Metabolic Science, Addenbrooke’s Hospital
John R. B. Perry: MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Box 285 Institute of Metabolic Science, Addenbrooke’s Hospital

Nature Communications, 2015, vol. 6, issue 1, 1-7

Abstract: Abstract Polycystic ovary syndrome (PCOS) is the most common reproductive disorder in women, yet there is little consensus regarding its aetiology. Here we perform a genome-wide association study of PCOS in up to 5,184 self-reported cases of White European ancestry and 82,759 controls, with follow-up in a further ∼2,000 clinically validated cases and ∼100,000 controls. We identify six signals for PCOS at genome-wide statistical significance (P

Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:6:y:2015:i:1:d:10.1038_ncomms9464

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DOI: 10.1038/ncomms9464

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