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...
Main Authors: | , , , , , , , , , |
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Format: | Article |
Language: | English |
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Public Library of Science (PLoS)
2017-02-01
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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. |
first_indexed | 2024-12-19T02:58:51Z |
format | Article |
id | doaj.art-4672d0f295ca413f8b49803a2d39cd86 |
institution | Directory Open Access Journal |
issn | 1553-7390 1553-7404 |
language | English |
last_indexed | 2024-12-19T02:58:51Z |
publishDate | 2017-02-01 |
publisher | Public Library of Science (PLoS) |
record_format | Article |
series | PLoS Genetics |
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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