| Autor: |
Magdalena Marcińska, Ewelina Pośpiech, Sarah Abidi, Jeppe Dyrberg Andersen, Margreet van den Berge, Ángel Carracedo, Mayra Eduardoff, Anna Marczakiewicz-Lustig, Niels Morling, Titia Sijen, Małgorzata Skowron, Jens Söchtig, Denise Syndercombe-Court, Natalie Weiler, EUROFORGEN-NoE Consortium, Peter M Schneider, David Ballard, Claus Børsting, Walther Parson, Chris Phillips, Wojciech Branicki |
| Jazyk: |
angličtina |
| Rok vydání: |
2015 |
| Předmět: |
|
| Zdroj: |
PLoS ONE, Vol 10, Iss 5, p e0127852 (2015) |
| Druh dokumentu: |
article |
| ISSN: |
1932-6203 |
| DOI: |
10.1371/journal.pone.0127852 |
| Popis: |
Androgenetic alopecia, known in men as male pattern baldness (MPB), is a very conspicuous condition that is particularly frequent among European men and thus contributes markedly to variation in physical appearance traits amongst Europeans. Recent studies have revealed multiple genes and polymorphisms to be associated with susceptibility to MPB. In this study, 50 candidate SNPs for androgenetic alopecia were analyzed in order to verify their potential to predict MPB. Significant associations were confirmed for 29 SNPs from chromosomes X, 1, 5, 7, 18 and 20. A simple 5-SNP prediction model and an extended 20-SNP model were developed based on a discovery panel of 305 males from various European populations fitting one of two distinct phenotype categories. The first category consisted of men below 50 years of age with significant baldness and the second; men aged 50 years or older lacking baldness. The simple model comprised the five best predictors: rs5919324 near AR, rs1998076 in the 20p11 region, rs929626 in EBF1, rs12565727 in TARDBP and rs756853 in HDAC9. The extended prediction model added 15 SNPs from five genomic regions that improved overall prevalence-adjusted predictive accuracy measured by area under the receiver characteristic operating curve (AUC). Both models were evaluated for predictive accuracy using a test set of 300 males reflecting the general European population. Applying a 65% probability threshold, high prediction sensitivity of 87.1% but low specificity of 42.4% was obtained in men aged |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
|
