@article {Hagenaars072306, author = {Saskia P Hagenaars and W David Hill and Sarah E Harris and Stuart J Ritchie and Gail Davies and David C Liewald and Catharine R Gale and David J Porteous and Ian J Deary and Riccardo E Marioni}, title = {Genetic Prediction of Male Pattern Baldness}, elocation-id = {072306}, year = {2016}, doi = {10.1101/072306}, publisher = {Cold Spring Harbor Laboratory}, abstract = {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.}, URL = {https://www.biorxiv.org/content/early/2016/08/30/072306}, eprint = {https://www.biorxiv.org/content/early/2016/08/30/072306.full.pdf}, journal = {bioRxiv} }