Genetic prediction of male pattern baldness.

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...

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Main 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
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2017-02-01
Series:PLoS Genetics
Online Access:http://europepmc.org/articles/PMC5308812?pdf=render
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author 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
author_facet 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
author_sort Saskia P Hagenaars
collection DOAJ
description 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 genetic loci associated with severe hair loss (P<5x10-8). By splitting the cohort into a discovery sample of 40,000 and target sample of 12,000, we developed a prediction algorithm based entirely on common genetic variants that discriminated (AUC = 0.78, sensitivity = 0.74, specificity = 0.69, PPV = 59%, NPV = 82%) those with no hair loss from those with severe hair loss. The results of this study might help identify those at greatest risk of hair loss, and also potential genetic targets for intervention.
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spelling doaj.art-4672d0f295ca413f8b49803a2d39cd862022-12-21T20:38:15ZengPublic Library of Science (PLoS)PLoS Genetics1553-73901553-74042017-02-01132e100659410.1371/journal.pgen.1006594Genetic prediction of male pattern baldness.Saskia P HagenaarsW David HillSarah E HarrisStuart J RitchieGail DaviesDavid C LiewaldCatharine R GaleDavid J PorteousIan J DearyRiccardo E MarioniMale 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 genetic loci associated with severe hair loss (P<5x10-8). By splitting the cohort into a discovery sample of 40,000 and target sample of 12,000, we developed a prediction algorithm based entirely on common genetic variants that discriminated (AUC = 0.78, sensitivity = 0.74, specificity = 0.69, PPV = 59%, NPV = 82%) those with no hair loss from those with severe hair loss. The results of this study might help identify those at greatest risk of hair loss, and also potential genetic targets for intervention.http://europepmc.org/articles/PMC5308812?pdf=render
spellingShingle 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
Genetic prediction of male pattern baldness.
PLoS Genetics
title Genetic prediction of male pattern baldness.
title_full Genetic prediction of male pattern baldness.
title_fullStr Genetic prediction of male pattern baldness.
title_full_unstemmed Genetic prediction of male pattern baldness.
title_short Genetic prediction of male pattern baldness.
title_sort genetic prediction of male pattern baldness
url http://europepmc.org/articles/PMC5308812?pdf=render
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