Prediction of male-pattern baldness from genotypes

    October 2015 in “European Journal of Human Genetics
    Fan Liu, Merel A. Hamer, Stefanie Heilmann, Christine Herold, Susanne Moebus, Albert Hofman, André G. Uitterlinden, Markus M. Nöthen, Cornelia M. van Duijn, Tamar Nijsten, Manfred Kayser
    Image of study
    TLDR Genetic data can predict male-pattern baldness with moderate accuracy, especially for early-onset cases in some European men.
    The study conducted on 2,725 German and Dutch males aimed to predict the risk of male-pattern baldness (MPB) using genetic data. The researchers developed a logistic regression model with 25 single-nucleotide polymorphisms (SNPs) from 12 genomic loci. They achieved an accuracy of 0.74 for predicting early-onset MPB with 14 SNPs and an accuracy of 0.69-0.71 for predicting normal MPB status in middle-aged and elderly individuals with 6-11 SNPs. The model indicated that 55.8% of the genetic liability for early-onset MPB could be attributed to common autosomal SNPs and 23.3% to X-chromosome SNPs, while for normal MPB status in elderly individuals, 42.4% was due to autosomal and 9.8% to X-chromosome SNPs. The study concluded that the prediction accuracy is not yet clinically optimal but is highly informative for a subset of the European population, potentially aiding in early intervention and forensic applications.
    View this study on →

    Cited in this study