Testing the Impact of Trait Prevalence Priors in Bayesian-Based Genetic Prediction Modeling of Human Appearance Traits

    November 2020 in “ Forensic Science International Genetics ”
    Maria‐Alexandra Katsara, Wojciech Branicki, Ewelina Pośpiech … Michael Nothnagel
    Studysummary This study found that using trait prevalence-informed priors may improve the prediction accuracy of appearance traits in Bayesian models, but their application is limited by sparse knowledge on trait prevalence.
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    Research cited in this study 5

    1. Genome-Wide Association Meta-Analysis of Individuals of European Ancestry Identifies New Loci Explaining a Substantial Fraction of Hair Color Variation and Heritability Nature Genetics · 2018
    2. Genetic Prediction of Male Pattern Baldness PLoS Genetics · 2017
    3. Prediction of Male-Pattern Baldness from Genotypes European Journal of Human Genetics · 2015
    4. Evaluation of DNA Variants Associated with Androgenetic Alopecia and Their Potential to Predict Male Pattern Baldness PLOS ONE · 2015
    5. Improving Human Forensics Through Advances in Genetics, Genomics, and Molecular Biology Nature Reviews Genetics · 2011