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Article: Meta-analysis identifies novel risk loci and yields systematic insights into the biology of male-pattern baldness
Title | Meta-analysis identifies novel risk loci and yields systematic insights into the biology of male-pattern baldness |
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Authors | Heilmann-Heimbach, StefanieHerold, ChristineHochfeld, Lara M.Hillmer, Axel M.Nyholt, Dale R.Hecker, JulianJaved, AsifChew, Elaine G.Y.Pechlivanis, SonaliDrichel, DmitriyHeng, Xiu TingDel Rosario, Ricardo C.H.Fier, Heide L.Paus, RalfRueedi, RicoGalesloot, Tessel E.Moebus, SusanneAnhalt, ThomasPrabhakar, ShyamLi, RuiKanoni, StavroulaPapanikolaou, GeorgeKutalik, ZoltánDeloukas, PanosPhilpott, Michael P.Waeber, GérardSpector, Tim D.Vollenweider, PeterKiemeney, Lambertus A.L.M.Dedoussis, GeorgeRichards, J. BrentNothnagel, MichaelMartin, Nicholas G.Becker, TimHinds, David A.Nöthen, Markus M. |
Issue Date | 2017 |
Citation | Nature Communications, 2017, v. 8 How to Cite? |
Abstract | © 2017 The Author(s). 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. |
Persistent Identifier | http://hdl.handle.net/10722/254471 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Heilmann-Heimbach, Stefanie | - |
dc.contributor.author | Herold, Christine | - |
dc.contributor.author | Hochfeld, Lara M. | - |
dc.contributor.author | Hillmer, Axel M. | - |
dc.contributor.author | Nyholt, Dale R. | - |
dc.contributor.author | Hecker, Julian | - |
dc.contributor.author | Javed, Asif | - |
dc.contributor.author | Chew, Elaine G.Y. | - |
dc.contributor.author | Pechlivanis, Sonali | - |
dc.contributor.author | Drichel, Dmitriy | - |
dc.contributor.author | Heng, Xiu Ting | - |
dc.contributor.author | Del Rosario, Ricardo C.H. | - |
dc.contributor.author | Fier, Heide L. | - |
dc.contributor.author | Paus, Ralf | - |
dc.contributor.author | Rueedi, Rico | - |
dc.contributor.author | Galesloot, Tessel E. | - |
dc.contributor.author | Moebus, Susanne | - |
dc.contributor.author | Anhalt, Thomas | - |
dc.contributor.author | Prabhakar, Shyam | - |
dc.contributor.author | Li, Rui | - |
dc.contributor.author | Kanoni, Stavroula | - |
dc.contributor.author | Papanikolaou, George | - |
dc.contributor.author | Kutalik, Zoltán | - |
dc.contributor.author | Deloukas, Panos | - |
dc.contributor.author | Philpott, Michael P. | - |
dc.contributor.author | Waeber, Gérard | - |
dc.contributor.author | Spector, Tim D. | - |
dc.contributor.author | Vollenweider, Peter | - |
dc.contributor.author | Kiemeney, Lambertus A.L.M. | - |
dc.contributor.author | Dedoussis, George | - |
dc.contributor.author | Richards, J. Brent | - |
dc.contributor.author | Nothnagel, Michael | - |
dc.contributor.author | Martin, Nicholas G. | - |
dc.contributor.author | Becker, Tim | - |
dc.contributor.author | Hinds, David A. | - |
dc.contributor.author | Nöthen, Markus M. | - |
dc.date.accessioned | 2018-06-19T15:40:39Z | - |
dc.date.available | 2018-06-19T15:40:39Z | - |
dc.date.issued | 2017 | - |
dc.identifier.citation | Nature Communications, 2017, v. 8 | - |
dc.identifier.uri | http://hdl.handle.net/10722/254471 | - |
dc.description.abstract | © 2017 The Author(s). 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. | - |
dc.language | eng | - |
dc.relation.ispartof | Nature Communications | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.title | Meta-analysis identifies novel risk loci and yields systematic insights into the biology of male-pattern baldness | - |
dc.type | Article | - |
dc.description.nature | published_or_final_version | - |
dc.identifier.doi | 10.1038/ncomms14694 | - |
dc.identifier.scopus | eid_2-s2.0-85014867125 | - |
dc.identifier.volume | 8 | - |
dc.identifier.spage | null | - |
dc.identifier.epage | null | - |
dc.identifier.eissn | 2041-1723 | - |
dc.identifier.isi | WOS:000395679000001 | - |
dc.identifier.issnl | 2041-1723 | - |