Genetic Prediction of Male Pattern Baldness Based on Large Independent Datasets

    November 2022 in “ European Journal of Human Genetics ”
    Yan Chen, Pirro G. Hysi, Carlo Maj … Manfred Kayser
    Studysummary This study developed new genetic prediction models for male pattern baldness with improved accuracy by utilizing a large set of markers and independent datasets, making them the most reliable available for this trait.
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    Research cited in this study 8

    1. Dissection of Genetic Variation and Evidence for Pleiotropy in Male Pattern Baldness Nature Communications · 2018
    2. GWAS for Male-Pattern Baldness Identifies 71 Susceptibility Loci Explaining 38% of the Risk Nature Communications · 2017
    3. Androgenetic Alopecia: A Review Endocrine · 2017
    4. Meta-Analysis Identifies Novel Risk Loci and Yields Systematic Insights into the Biology of Male-Pattern Baldness Nature communications · 2017
    5. Genetic Prediction of Male Pattern Baldness PLoS Genetics · 2017
    6. Prediction of Male-Pattern Baldness from Genotypes European Journal of Human Genetics · 2015
    7. Evaluation of DNA Variants Associated with Androgenetic Alopecia and Their Potential to Predict Male Pattern Baldness PLOS ONE · 2015
    8. Genetic Variation in the Human Androgen Receptor Gene Is the Major Determinant of Common Early-Onset Androgenetic Alopecia American Journal of Human Genetics · 2005