ArticlePloS one2015
Evaluation of DNA variants associated with androgenetic alopecia and their potential to predict male pattern baldness.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.
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Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled it, 74 citations in OpenAlex.
- The association between HDAC9 gene polymorphisms and stroke risk in the Chinese population: A meta-analysis.Scientific reports · 2017Pooled it
- Evaluation of the use of molecular markers for the prediction of human facial features for forensic purposes: a systematic review.International journal of legal medicine · 2026Review
- Exploring imputation performance of phenotype-associated SNPs for forensic prediction models.Scientific reports · 2026Article
- The Genetic Landscape of Androgenetic Alopecia: Current Knowledge and Future Perspectives.Biology · 2026Review
- Review
- Forensic skeletal and molecular anthropology face to face: Combining expertise for identification of human remains.Annals of the New York Academy of Sciences · 2025Review
- Past, Present and Future Perspectives of Forensic Genetics.Biomolecules · 2025Review
- Forensic DNA phenotyping: a review on SNP panels, genotyping techniques, and prediction models.Forensic sciences research · 2025Review
- Article
- Loss of the Y Chromosome: A Review of Molecular Mechanisms, Age Inference, and Implications for Men's Health.International journal of molecular sciences · 2024Review
- Analysis of epigenetic clocks links yoga, sleep, education, reduced meat intake, coffee, and a SOCS2 gene variant to slower epigenetic aging.GeroScience · 2024Article
- A missense mutation in Lama3 causes androgen alopecia.Scientific reports · 2023Article
- Evaluation of loci to predict ear morphology using two SNaPshot assays.Forensic science, medicine, and pathology · 2023Article
- Male-pattern hair loss: Comprehensive identification of the associated genes as a basis for understanding pathophysiology.Medizinische Genetik : Mitteilungsblatt des Berufsverbandes Medizinische Genetik e.V · 2023Article
- Genetic prediction of male pattern baldness based on large independent datasets.European journal of human genetics : EJHG · 2023Article
- Possible relationship between poor skin disorders prognosis and serum zinc level: A narrative review.Dermatology reports · 2022Article
- Review
- Exploring the possibility of predicting human head hair greying from DNA using whole-exome and targeted NGS data.BMC genomics · 2020Article
- Plasma Zinc Levels in Males with Androgenetic Alopecia as Possible Predictors of the Subsequent Conservative Therapy's Effectiveness.Diagnostics (Basel, Switzerland) · 2020Article
- Precision Medicine and the Practice of Trichiatry: Adapting the Concept.Skin appendage disorders · 2019Article
Corrections and comments
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Authors and funding
21 authors at 10 institutions in 8 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Androgenetic alopecia, known in men as male pattern baldness (MPB), is a very conspicuous condition that is particularly frequent among European men and thus contributes markedly to variation in physical appearance traits amongst Europeans. Recent studies have revealed multiple genes and polymorphisms to be associated with susceptibility to MPB. In this study, 50 candidate SNPs for androgenetic alopecia were analyzed in order to verify their potential to predict MPB. Significant associations were confirmed for 29 SNPs from chromosomes X, 1, 5, 7, 18 and 20. A simple 5-SNP prediction model and an extended 20-SNP model were developed based on a discovery panel of 305 males from various European populations fitting one of two distinct phenotype categories. The first category consisted of men below 50 years of age with significant baldness and the second; men aged 50 years or older lacking baldness. The simple model comprised the five best predictors: rs5919324 near AR, rs1998076 in the 20p11 region, rs929626 in EBF1, rs12565727 in TARDBP and rs756853 in HDAC9. The extended prediction model added 15 SNPs from five genomic regions that improved overall prevalence-adjusted predictive accuracy measured by area under the receiver characteristic operating curve (AUC). Both models were evaluated for predictive accuracy using a test set of 300 males reflecting the general European population. Applying a 65% probability threshold, high prediction sensitivity of 87.1% but low specificity of 42.4% was obtained in men aged <50 years. In men aged ≥50, prediction sensitivity was slightly lower at 67.7% while specificity reached 90%. Overall, the AUC=0.761 calculated for men at or above 50 years of age indicates these SNPs offer considerable potential for the application of genetic tests to predict MPB patterns, adding a highly informative predictive system to the emerging field of forensic analysis of externally visible characteristics.
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