Meta-analysis identifies novel risk loci and yields systematic insights into the biology of male-pattern baldness

Stefanie Heilmann-Heimbach; Christine Herold; Lara M Hochfeld; Axel M Hillmer; Dale R Nyholt; Julian Hecker; Asif Javed; Elaine G Y Chew; Sonali Pechlivanis; Dmitriy Drichel; Xiu Ting Heng; Ricardo C-H Del Rosario; Heide L Fier; Ralf Paus; Rico Rueedi; Tessel E Galesloot; Susanne Moebus; Thomas Anhalt; Shyam Prabhakar; Rui Li; Stavroula Kanoni; George Papanikolaou; Zoltán Kutalik; Panos Deloukas; Michael P Philpott; Gérard Waeber; Tim D Spector; Peter Vollenweider; Lambertus A L M Kiemeney; George Dedoussis; J Brent Richards; Michael Nothnagel; Nicholas G Martin; Tim Becker; David A Hinds; Markus M Nöthen

doi:10.1038/ncomms14694

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Meta-analysis identifies novel risk loci and yields systematic insights into the biology of male-pattern baldness

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Meta-analysis identifies novel risk loci and yields systematic insights into the biology of male-pattern baldness

Stefanie Heilmann-Heimbach, Christine Herold, Lara M Hochfeld, Axel M Hillmer, Dale R Nyholt, Julian Hecker, Asif Javed, Elaine G Y Chew, Sonali Pechlivanis, Dmitriy Drichel, …

Nature communications, Vol.8(1), pp.14694-14694

2017-03-08

DOI: https://doi.org/10.1038/ncomms14694

PMCID: PMC5344973

PMID: 28272467

Abstract

Male-pattern baldness (MPB) is a common and highly heritable trait characterized by androgen-dependent, progressive hair loss from the scalp. Here, we carry out the largest GWAS meta-analysis of MPB to date, comprising 10,846 early-onset cases and 11,672 controls from eight independent cohorts. We identify 63 MPB-associated loci (P<5 × 10 , METAL) of which 23 have not been reported previously. The 63 loci explain ∼39% of the phenotypic variance in MPB and highlight several plausible candidate genes (FGF5, IRF4, DKK2) and pathways (melatonin signalling, adipogenesis) that are likely to be implicated in the key-pathophysiological features of MPB and may represent promising targets for the development of novel therapeutic options. The data provide molecular evidence that rather than being an isolated trait, MPB shares a substantial biological basis with numerous other human phenotypes and may deserve evaluation as an early prognostic marker, for example, for prostate cancer, sudden cardiac arrest and neurodegenerative disorders.

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Collaboration types: Industry collaboration; Domestic collaboration; International collaboration
Citation topics: 1 Clinical & Life Sciences; 1.158 Dermatology - General; 1.158.1254 Alopecia Areata
Web Of Science research areas: Genetics & Heredity
ESI research areas: Clinical Medicine

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Title: Meta-analysis identifies novel risk loci and yields systematic insights into the biology of male-pattern baldness
Creators: Stefanie Heilmann-Heimbach - Department of Genomics, Life &Brain Center, University of Bonn, 53127 Bonn, Germany
Christine Herold - German Center for Neurodegenerative Disorders, 53175 Bonn, Germany
Lara M Hochfeld - Department of Genomics, Life &Brain Center, University of Bonn, 53127 Bonn, Germany
Axel M Hillmer - TRON-Translational Oncology at the University Medical Center of Johannes Gutenberg University, TRON gGmbH, 55131 Mainz, Germany
Dale R Nyholt - Institute of Health and Biomedical Innovation, Queensland University of Technology, GPO Box 2434, Brisbane, Queensland 4001, Australia
Julian Hecker - Institute of Genomic Mathematics, University of Bonn, 53127 Bonn, Germany
Asif Javed - Cancer Therapeutics and Stratified Oncology, Genome Institute of Singapore, Singapore 138672, Singapore
Elaine G Y Chew - Cancer Therapeutics and Stratified Oncology, Genome Institute of Singapore, Singapore 138672, Singapore
Sonali Pechlivanis - Institute of Medical Informatics, Biometry and Epidemiology, Medical Faculty, University of Duisburg-Essen, 45122 Essen, Germany
Dmitriy Drichel - Cologne Center for Genomics, University of Cologne, 50931 Cologne, Germany
Xiu Ting Heng - Cancer Therapeutics and Stratified Oncology, Genome Institute of Singapore, Singapore 138672, Singapore
Ricardo C-H Del Rosario - Computational and Systems Biology, Genome Institute of Singapore, Singapore 138672, Singapore
Heide L Fier - Department of Biostatistics, Harvard School T.H. Chan of Public Health, Boston, Massachusetts 02115, USA
Ralf Paus - Dermatology Research Centre, Institute of Inflammation and Repair, University of Manchester, Manchester M13 9PL, UK
Rico Rueedi - Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland
Tessel E Galesloot - Radboud Institute for Health Sciences, Department for Health Evidence, Radboud University Medical Center, 6500 HB Nijmegen, The Netherlands
Susanne Moebus - Institute of Medical Informatics, Biometry and Epidemiology, Medical Faculty, University of Duisburg-Essen, 45122 Essen, Germany
Thomas Anhalt - Department of Genomics, Life &Brain Center, University of Bonn, 53127 Bonn, Germany
Shyam Prabhakar - Computational and Systems Biology, Genome Institute of Singapore, Singapore 138672, Singapore
Rui Li - Centre for Clinical Epidemiology, Departments of Medicine, Genetics and Epidemiology, Lady Davis Institute for Medical Research, Jewish General Hospital, McGill University, Montreal, Quebec, H3T 1E2 Canada
Stavroula Kanoni - William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London EC1M 6BQ, UK
George Papanikolaou - School of Health Sciences and Education, Department of Nutrition and Dietetics, Harokopio University, Attica, 17671 Kallithea, Greece
Zoltán Kutalik - Institute of Social and Preventive Medicine, University Hospital of Lausanne, 1010 Lausanne, Switzerland
Panos Deloukas - Princess Al-Jawhara Al-Brahim Centre of Excellence in Research of Hereditary Disorders (PACER-HD), King Abdulaziz University, Jeddah 21589, Saudi Arabia
Michael P Philpott - Centre for Cell Biology and Cutaneous Research Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London E1 2AT, UK
Gérard Waeber - Department of Internal Medicine, Lausanne University Hospital (CHUV), 1011 Lausanne, Switzerland
Tim D Spector - Department of Twin Research &Genetic Epidemiology, King's College London, London SE1 7EH, UK
Peter Vollenweider - Department of Internal Medicine, Lausanne University Hospital (CHUV), 1011 Lausanne, Switzerland
Lambertus A L M Kiemeney - Radboud Institute for Health Sciences, Department for Health Evidence, Radboud University Medical Center, 6500 HB Nijmegen, The Netherlands
George Dedoussis - School of Health Sciences and Education, Department of Nutrition and Dietetics, Harokopio University, Attica, 17671 Kallithea, Greece
J Brent Richards - Department of Twin Research &Genetic Epidemiology, King's College London, London SE1 7EH, UK
Michael Nothnagel - Cologne Center for Genomics, University of Cologne, 50931 Cologne, Germany
Nicholas G Martin - QIMR Berghofer Medical Research Institute, Brisbane, Queensland 4006, Australia
Tim Becker - Institute for Community Medicine, Ernst Moritz Arndt University Greifswald, 17475 Greifswald, Germany
David A Hinds - 23andMe Inc., Mountain View, California 94040, USA
Markus M Nöthen - Department of Genomics, Life &Brain Center, University of Bonn, 53127 Bonn, Germany
Publication Details: Nature communications, Vol.8(1), pp.14694-14694
Grant note: RG/14/5/30893 / British Heart Foundation
Academic Unit: Miller School of Medicine; UMMG Dept of Dermatology & Cutaneous Surgery
Language: English
Resource Type: Journal article
PMID: 28272467
PMCID: PMC5344973
Record Identifier: 991031598017302976