IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v6y2015i1d10.1038_ncomms9464.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    Institute of Biomedical and Neural Engineering, School of Science and Engineering, Reykjavík University)

  • Debbie A. Lawlor

    (MRC Integrative Epidemiology Unit at the University of Bristol
    School of Social and Community Medicine, University of Bristol, Oakfield House)

  • 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
    School of Social and Community Medicine, University of Bristol, Oakfield House)

  • 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
    Faculty of Medicine, University of Iceland)

  • Corrine Welt

    (Metabolism and Diabetes, University of Utah School of Medicine)

  • Kari Stefansson

    (deCODE Genetics/Amgen
    Faculty of Medicine, University of Iceland)

  • 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
    University of Cambridge School of Clinical Medicine)

  • John R. B. Perry

    (MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Box 285 Institute of Metabolic Science, Addenbrooke’s Hospital)

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

Suggested Citation

  • 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 & Guilla, 2015. "Causal mechanisms and balancing selection inferred from genetic associations with polycystic ovary syndrome," Nature Communications, Nature, vol. 6(1), pages 1-7, December.
  • Handle: RePEc:nat:natcom:v:6:y:2015:i:1:d:10.1038_ncomms9464
    DOI: 10.1038/ncomms9464
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/ncomms9464
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/ncomms9464?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:6:y:2015:i:1:d:10.1038_ncomms9464. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.