Genetic prediction of male pattern baldness

被引：99

作者：

Hagenaars, Saskia P. ^{[1
,2
,3
]}

Hill, W. David ^{[1
,2
]}

Harris, Sarah E. ^{[1
,4
]}

Ritchie, Stuart J. ^{[1
,2
]}

Davies, Gail ^{[1
,2
]}

Liewald, David C. ^{[1
]}

Gale, Catharine R. ^{[1
,2
,5
]}

Porteous, David J. ^{[1
,4
]}

Deary, Ian J. ^{[1
,2
]}

Marioni, Riccardo E. ^{[1
,4
]}

机构：

[1] Univ Edinburgh, Ctr Cognit Ageing & Cognit Epidemiol, Edinburgh, Midlothian, Scotland

[2] Univ Edinburgh, Dept Psychol, Edinburgh, Midlothian, Scotland

[3] Univ Edinburgh, Div Psychiat, Edinburgh, Midlothian, Scotland

[4] Univ Edinburgh, Inst Genet & Mol Med, Ctr Genom & Expt Med, Edinburgh, Midlothian, Scotland

[5] Univ Southampton, Lifecourse Epidemiol Unit, Med Res Council, Southampton, Hants, England

来源：

PLOS GENETICS | 2017年 / 13卷 / 02期

基金：

英国生物技术与生命科学研究理事会; 英国医学研究理事会;

关键词：

GENOME-WIDE ASSOCIATION; PROSTATE-CANCER; ANDROGENETIC ALOPECIA; HAIR LOSS; RISK; MEN; DIFFERENTIATION; HERITABILITY; REGULATOR; DYSPLASIA;

D O I：

10.1371/journal.pgen.1006594

中图分类号：

Q3 [遗传学];

学科分类号：

071007 ; 090102 ;

摘要：

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.

引用

页数：16

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