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. 2017 Feb 14;13(2):e1006594.
doi: 10.1371/journal.pgen.1006594. eCollection 2017 Feb.

Genetic prediction of male pattern baldness

Saskia P Hagenaars  1   2   3 , W David Hill  1   2 , Sarah E Harris  1   4 , Stuart J Ritchie  1   2 , Gail Davies  1   2 , David C Liewald  1 , Catharine R Gale  1   2   5 , David J Porteous  1   4 , Ian J Deary  1   2 , Riccardo E Marioni  1   4
Affiliations

Genetic prediction of male pattern baldness

Saskia P Hagenaars et al. PLoS Genet. .

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 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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Conflict of interest statement

I have read the journal's policy and the authors of this manuscript have the following competing interests: IJD and DJP are participants in UK Biobank.

Figures

Fig 1
Fig 1. Manhattan Plot of imputed autosomal GWAS and genotyped X chromosome of male pattern baldness (p-values truncated at 1x10-150).
Fig 2
Fig 2. Area under the curve plot for discriminating those with hair loss from those with no loss.
Fig 3
Fig 3. Distribution of hair loss by male pattern baldness polygenic score decile in the independent sample.
Fig 4
Fig 4. Screenshot of UK Biobank question 2395 on male pattern baldness, adapted with permission.
See this image and copyright information in PMC

References

    1. Hamilton JB. Patterned loos of hair in man: types and incidence. Annals of the New York Academy of Sciences. 1951;53(3):708–28. - PubMed
    1. Alfonso M, Richter-Appelt H, Tosti A, Viera MS, García M. The psychosocial impact of hair loss among men: a multinational European study. Current Medical Research and Opinion. 2005;21(11):1829–36. 10.1185/030079905X61820 - DOI - PubMed
    1. Cash TF. The psychosocial consequences of androgenetic alopecia: a review of the research literature. British Journal of Dermatology. 1999;141(3):398–405. - PubMed
    1. Cremers RG, Aben KK, Vermeulen SH, den Heijer M, van Oort IM, Kiemeney LA. Androgenic alopecia is not useful as an indicator of men at high risk of prostate cancer. European Journal of Cancer. 2010;46(18):3294–9. 10.1016/j.ejca.2010.05.020 - DOI - PubMed
    1. Zhou CK, Levine PH, Cleary SD, Hoffman HJ, Graubard BI, Cook MB. Male Pattern Baldness in Relation to Prostate Cancer–Specific Mortality: A Prospective Analysis in the NHANES I Epidemiologic Follow-up Study. American Journal of Epidemiology. 2016;183(3):210–7. 10.1093/aje/kwv190 - DOI - PMC - PubMed

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