Rxivist logo

Genetic Prediction of Male Pattern Baldness

By Saskia P Hagenaars, W. David Hill, Sarah E. Harris, Stuart J. Ritchie, Gail Davies, David C Liewald, Catharine Gale, David J Porteous, Ian J Deary, Riccardo E Marioni

Posted 30 Aug 2016
bioRxiv DOI: 10.1101/072306 (published DOI: 10.1371/journal.pgen.1006594)

Male pattern baldness can have substantial psychosocial effects, and it has been phenotypically linked to adverse health outcomes such as prostate cancer and cardiovascular disease. We explored the genetic architecture of the trait using data from over 52,000 male participants of UK Biobank, aged 40-69 years. We identified over 250 independent novel genetic loci associated with severe hair loss. By developing a prediction algorithm based entirely on common genetic variants, and applying it to an independent sample, we could discriminate accurately (AUC = 0.82) between those with no hair loss from those with severe hair loss. The results of this study might help identify those at the greatest risk of hair loss and also potential genetic targets for intervention.

Download data

  • Downloaded 1,795 times
  • Download rankings, all-time:
    • Site-wide: 9,051
    • In genetics: 421
  • Year to date:
    • Site-wide: 69,307
  • Since beginning of last month:
    • Site-wide: 107,209

Altmetric data


Downloads over time

Distribution of downloads per paper, site-wide

PanLingua

News