Literature DB >> 23701444

Evidence for a polygenic contribution to androgenetic alopecia.

S Heilmann1, F F Brockschmidt, A M Hillmer, S Hanneken, S Eigelshoven, K U Ludwig, C Herold, E Mangold, T Becker, R Kruse, M Knapp, M M Nöthen.   

Abstract

BACKGROUND: Male pattern baldness (androgenetic alopecia, AGA) is a highly heritable trait and the most common form of hair loss in humans. Eight genome-wide significant risk loci for AGA have been identified.
OBJECTIVES: To determine whether a polygenic component contributes to the genetic risk for AGA.
METHODS: This study used a German case-control sample for AGA, which comprised 581 severely affected patients and 617 controls, to determine the contribution of polygenic variance to AGA risk. The sample was divided evenly into discovery and test samples. An additive polygenic risk score was calculated from risk alleles with increasingly liberal P-values in the discovery dataset, which was then used to test for the enrichment of AGA risk score alleles in the independent test samples.
RESULTS: The polygenic score analysis provided significant evidence for a polygenic contribution to AGA where the amount of variance explained was 1·4-4·5%.
CONCLUSION: This study provides evidence for the specific contribution of a polygenic component to the overall heritable risk for AGA. To some degree, the polygenic architecture of AGA might reflect the complexity of the biological pathways involved. Further analyses and strategies that complement conventional genome-wide association studies are needed to identify these factors. These may include pathway-based analyses, the analysis of functional candidate genes and tests for epistatic effects with known loci.
© 2013 British Association of Dermatologists.

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Mesh:

Year:  2013        PMID: 23701444     DOI: 10.1111/bjd.12443

Source DB:  PubMed          Journal:  Br J Dermatol        ISSN: 0007-0963            Impact factor:   9.302


  8 in total

Review 1.  [Androgenetic alopecia. Diagnosis and therapy- a current review].

Authors:  U Blume-Peytavi; A Vogt
Journal:  Hautarzt       Date:  2013-11       Impact factor: 0.751

Review 2.  [Genetic hair diseases. An update].

Authors:  J Frank; P Poblete-Gutiérrez; K Giehl
Journal:  Hautarzt       Date:  2013-11       Impact factor: 0.751

3.  Evaluation of the Expression of Genes Associated with Inflammation and Apoptosis in Androgenetic Alopecia by Targeted RNA-Seq.

Authors:  Lizeth Martinez-Jacobo; Claudia I Ancer-Arellano; Rocio Ortiz-Lopez; Mauricio Salinas-Santander; Cesar Daniel Villarreal-Villarreal; Jesus Ancer-Rodriguez; Bianka Camacho-Zamora; Viviana Zomosa-Signoret; Carlos E Medina-De la Garza; Jorge Ocampo-Candiani; Augusto Rojas-Martinez
Journal:  Skin Appendage Disord       Date:  2017-12-07

Review 4.  The Diagnosis and Treatment of Hair and Scalp Diseases.

Authors:  Hans Wolff; Tobias W Fischer; Ulrike Blume-Peytavi
Journal:  Dtsch Arztebl Int       Date:  2016-05-27       Impact factor: 5.594

5.  Common polygenic variation enhances risk prediction for Alzheimer's disease.

Authors:  Valentina Escott-Price; Rebecca Sims; Christian Bannister; Denise Harold; Maria Vronskaya; Elisa Majounie; Nandini Badarinarayan; Kevin Morgan; Peter Passmore; Clive Holmes; John Powell; Carol Brayne; Michael Gill; Simon Mead; Alison Goate; Carlos Cruchaga; Jean-Charles Lambert; Cornelia van Duijn; Wolfgang Maier; Alfredo Ramirez; Peter Holmans; Lesley Jones; John Hardy; Sudha Seshadri; Gerard D Schellenberg; Philippe Amouyel; Julie Williams
Journal:  Brain       Date:  2015-10-21       Impact factor: 13.501

6.  Polygenic risk of Parkinson disease is correlated with disease age at onset.

Authors:  Valentina Escott-Price; Mike A Nalls; Huw R Morris; Steven Lubbe; Alexis Brice; Thomas Gasser; Peter Heutink; Nicholas W Wood; John Hardy; Andrew B Singleton; Nigel M Williams
Journal:  Ann Neurol       Date:  2015-03-13       Impact factor: 10.422

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

Authors:  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
Journal:  Nat Commun       Date:  2017-03-08       Impact factor: 14.919

8.  Genetic prediction of male pattern baldness.

Authors:  Saskia P Hagenaars; W David Hill; Sarah E Harris; Stuart J Ritchie; Gail Davies; David C Liewald; Catharine R Gale; David J Porteous; Ian J Deary; Riccardo E Marioni
Journal:  PLoS Genet       Date:  2017-02-14       Impact factor: 5.917

  8 in total

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