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DOI 10.1038/ncomms14694

Медицинская библиотека · Nature communications · 2017

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

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

СтатьяМетаанализПоддержка исследования: вне правительства СШАПеревод в очереди

Аннотация

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.

Для цитирования: Heilmann-Heimbach Stefanie, Herold Christine, Hochfeld Lara M, Hillmer Axel M, Nyholt Dale R, Hecker Julian, Javed Asif, Chew Elaine G Y, Pechlivanis Sonali, Drichel Dmitriy, Heng Xiu Ting, Del Rosario Ricardo C-H, Fier Heide L, Paus Ralf, Rueedi Rico, Galesloot Tessel E, Moebus Susanne, Anhalt Thomas, Prabhakar Shyam, Li Rui, Kanoni Stavroula, Papanikolaou George, Kutalik Zoltán, Deloukas Panos, Philpott Michael P, Waeber Gérard, Spector Tim D, Vollenweider Peter, Kiemeney Lambertus A L M, Dedoussis George, Richards J Brent, Nothnagel Michael, Martin Nicholas G, Becker Tim, Hinds David A, Nöthen Markus M. Meta-analysis identifies novel risk loci and yields systematic insights into the biology of male-pattern baldness.. Nature communications. 2017. DOI: 10.1038/ncomms14694.

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