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Colocalization highlights genes in hypothalamic–pituitary–gonadal axis as potentially mediating polycystic ovary syndrome risk

View ORCID ProfileJenny C Censin, View ORCID ProfileJonas Bovijn, View ORCID ProfileMichael V Holmes, View ORCID ProfileCecilia M Lindgren
doi: https://doi.org/10.1101/2020.01.10.901116
Jenny C Censin
1Big Data Institute at the Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, OX3 7LF, UK
2Wellcome Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK
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  • For correspondence: jenny.censin@ndm.ox.ac.uk
Jonas Bovijn
1Big Data Institute at the Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, OX3 7LF, UK
2Wellcome Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK
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Michael V Holmes
3NIHR Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, John Radcliffe Hospital, Oxford, OX3 9DU, UK
4Medical Research Council Population Health Research Unit at the University of Oxford, Nuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, UK
5Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, Big Data Institute Building, Roosevelt Drive, University of Oxford, Oxford, OX3 7LF, UK
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Cecilia M Lindgren
1Big Data Institute at the Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, OX3 7LF, UK
2Wellcome Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK
3NIHR Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, John Radcliffe Hospital, Oxford, OX3 9DU, UK
6Program in Medical and Population Genetics, Broad Institute, Cambridge, 02142, Massachusetts, USA
7Nuffield Department of Women’s and Reproductive Health, University of Oxford, Oxford, OX3 9DU, UK
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  • ORCID record for Cecilia M Lindgren
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Article Information

doi 
https://doi.org/10.1101/2020.01.10.901116
History 
  • January 10, 2020.
Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.

Author Information

  1. Jenny C Censin1,2,#,
  2. Jonas Bovijn1,2,
  3. Michael V Holmes3,4,5 and
  4. Cecilia M Lindgren1,2,3,6,7
  1. 1Big Data Institute at the Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, OX3 7LF, UK
  2. 2Wellcome Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK
  3. 3NIHR Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, John Radcliffe Hospital, Oxford, OX3 9DU, UK
  4. 4Medical Research Council Population Health Research Unit at the University of Oxford, Nuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, UK
  5. 5Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, Big Data Institute Building, Roosevelt Drive, University of Oxford, Oxford, OX3 7LF, UK
  6. 6Program in Medical and Population Genetics, Broad Institute, Cambridge, 02142, Massachusetts, USA
  7. 7Nuffield Department of Women’s and Reproductive Health, University of Oxford, Oxford, OX3 9DU, UK
  1. ↵#Corresponding author
    : Name: Dr. Jenny C Censin, E-mail: jenny.censin{at}ndm.ox.ac.uk, Telephone: +44(0)1865 287835
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Posted January 10, 2020.
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Colocalization highlights genes in hypothalamic–pituitary–gonadal axis as potentially mediating polycystic ovary syndrome risk
Jenny C Censin, Jonas Bovijn, Michael V Holmes, Cecilia M Lindgren
bioRxiv 2020.01.10.901116; doi: https://doi.org/10.1101/2020.01.10.901116
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Colocalization highlights genes in hypothalamic–pituitary–gonadal axis as potentially mediating polycystic ovary syndrome risk
Jenny C Censin, Jonas Bovijn, Michael V Holmes, Cecilia M Lindgren
bioRxiv 2020.01.10.901116; doi: https://doi.org/10.1101/2020.01.10.901116

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