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Genetic prediction of male pattern baldness

PLoS genetics, 2017-02, Vol.13 (2), p.e1006594-e1006594 [Peer Reviewed Journal]

COPYRIGHT 2017 Public Library of Science ;COPYRIGHT 2017 Public Library of Science ;2017 Public Library of Science. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited: Hagenaars SP, Hill WD, Harris SE, Ritchie SJ, Davies G, Liewald DC, et al. (2017) Genetic prediction of male pattern baldness. PLoS Genet 13(2): e1006594. doi:10.1371/journal.pgen.1006594 ;2017 Hagenaars et al 2017 Hagenaars et al ;2017 Public Library of Science. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited: Hagenaars SP, Hill WD, Harris SE, Ritchie SJ, Davies G, Liewald DC, et al. (2017) Genetic prediction of male pattern baldness. PLoS Genet 13(2): e1006594. doi:10.1371/journal.pgen.1006594 ;ISSN: 1553-7404 ;ISSN: 1553-7390 ;EISSN: 1553-7404 ;DOI: 10.1371/journal.pgen.1006594 ;PMID: 28196072

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Title:
Genetic prediction of male pattern baldness
Author: Hagenaars, Saskia P ; Hill, W David ; Harris, Sarah E ; Ritchie, Stuart J ; Davies, Gail ; Liewald, David C ; Gale, Catharine R ; Porteous, David J ; Deary, Ian J ; Marioni, Riccardo E
Noethen, Markus M.
Subjects: Adult ; Aged ; Aging ; Alopecia ; Alopecia - epidemiology ; Alopecia - genetics ; Analysis ; Baldness ; Biology and Life Sciences ; Cardiovascular disease ; Cardiovascular Diseases - complications ; Cardiovascular Diseases - epidemiology ; Cardiovascular Diseases - genetics ; Councils ; Epidemiology ; Funding ; Gene mutation ; Gene mutations ; Genetic aspects ; Genetics ; Genomes ; Hair loss ; Health aspects ; Humans ; Male ; Medical research ; Medicine ; Medicine and Health Sciences ; Metabolism ; Middle Aged ; Phenotype ; Prostate cancer ; Prostatic Neoplasms - complications ; Prostatic Neoplasms - epidemiology ; Prostatic Neoplasms - genetics ; Risk Factors ; Studies
Is Part Of: PLoS genetics, 2017-02, Vol.13 (2), p.e1006594-e1006594
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.
Publisher: United States: Public Library of Science
Language: English
Identifier: ISSN: 1553-7404
ISSN: 1553-7390
EISSN: 1553-7404
DOI: 10.1371/journal.pgen.1006594
PMID: 28196072
Source: Public Library of Science (PLoS) Journals Open Access
Geneva Foundation Free Medical Journals at publisher websites
MEDLINE
PubMed Central
ProQuest Central
DOAJ Directory of Open Access Journals

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Genetic prediction of male pattern baldness

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