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Nat Commun. 2017 Mar 8;8:14694. doi: 10.1038/ncomms14694.

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

Author information

1
Institute of Human Genetics, University of Bonn, 53127 Bonn, Germany.
2
Department of Genomics, Life &Brain Center, University of Bonn, 53127 Bonn, Germany.
3
German Center for Neurodegenerative Disorders, 53175 Bonn, Germany.
4
Cancer Therapeutics and Stratified Oncology, Genome Institute of Singapore, Singapore 138672, Singapore.
5
TRON-Translational Oncology at the University Medical Center of Johannes Gutenberg University, TRON gGmbH, 55131 Mainz, Germany.
6
Institute of Health and Biomedical Innovation, Queensland University of Technology, GPO Box 2434, Brisbane, Queensland 4001, Australia.
7
Institute of Genomic Mathematics, University of Bonn, 53127 Bonn, Germany.
8
Institute of Medical Informatics, Biometry and Epidemiology, Medical Faculty, University of Duisburg-Essen, 45122 Essen, Germany.
9
Cologne Center for Genomics, University of Cologne, 50931 Cologne, Germany.
10
Computational and Systems Biology, Genome Institute of Singapore, Singapore 138672, Singapore.
11
Department of Biostatistics, Harvard School T.H. Chan of Public Health, Boston, Massachusetts 02115, USA.
12
Dermatology Research Centre, Institute of Inflammation and Repair, University of Manchester, Manchester M13 9PL, UK.
13
Department of Computational Biology, University of Lausanne, 1011 Lausanne, Switzerland.
14
Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland.
15
Radboud Institute for Health Sciences, Department for Health Evidence, Radboud University Medical Center, 6500 HB Nijmegen, The Netherlands.
16
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.
17
William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London EC1M 6BQ, UK.
18
School of Health Sciences and Education, Department of Nutrition and Dietetics, Harokopio University, Attica, 17671 Kallithea, Greece.
19
Institute of Social and Preventive Medicine, University Hospital of Lausanne, 1010 Lausanne, Switzerland.
20
Princess Al-Jawhara Al-Brahim Centre of Excellence in Research of Hereditary Disorders (PACER-HD), King Abdulaziz University, Jeddah 21589, Saudi Arabia.
21
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.
22
Department of Internal Medicine, Lausanne University Hospital (CHUV), 1011 Lausanne, Switzerland.
23
Department of Twin Research &Genetic Epidemiology, King's College London, London SE1 7EH, UK.
24
QIMR Berghofer Medical Research Institute, Brisbane, Queensland 4006, Australia.
25
Institute for Community Medicine, Ernst Moritz Arndt University Greifswald, 17475 Greifswald, Germany.
26
23andMe Inc., Mountain View, California 94040, USA.

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 × 10-8, 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.

PMID:
28272467
PMCID:
PMC5344973
DOI:
10.1038/ncomms14694
[Indexed for MEDLINE]
Free PMC Article

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