Badanie roli zmienności genetycznej i epigenetycznej w starzeniu się skóry twarzy i włosów głowy oraz genetyczna predykcja związanych z wiekiem cech wyglądu człowieka

    Noroozi, Rezvan
    TLDR Genetic and lifestyle factors influence skin and hair aging, and prediction models can help assess aging and cosmetic treatments.
    This study investigates the genetic and epigenetic factors influencing age-related changes in physical appearance, focusing on skin and hair aging. It highlights the role of DNA methylation (DNAm) and epigenetic age acceleration (EAA) in predicting perceived age and age-related externally visible characteristics (EVCs). The research involved Polish individuals and utilized genome-wide association studies (GWAS) and epigenome-wide association studies (EWAS) to identify genetic variants and differentially methylated positions associated with aging features. Key findings include the association of DNAm Age Skin&Blood with perceived age and DNAm Age Hannum with hair loss. Lifestyle factors such as socioeconomic status, physical activity, and smoking were linked to skin and hair aging. The study developed prediction models for perceived age and facial wrinkles, demonstrating their potential in forensic investigations and anti-aging research. These models, particularly the GrimAge, FitAge, and DunedinPoAm clocks, offer valuable tools for assessing the effectiveness of cosmetic treatments and understanding the aging process.
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