37 citations
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October 2015 in “European Journal of Human Genetics” This study found that a genetic model using SNPs can predict early-onset male-pattern baldness with moderate accuracy, which may assist in decisions about interventions.
January 2024 in “Research Square (Research Square)” This study identified robust susceptibility genes and potential drug candidates for male-pattern baldness, providing insights into the condition's molecular mechanisms.
October 2023 in “Journal of pharmaceutical investigation” In this study, researchers found that among healthy Korean males, the clearance of finasteride was about 34% lower in individuals with the CYP3A5*3 homozygous allele compared to other genotypes, suggesting dosage adjustments may be necessary considering CYP3A5 and ALT levels to avoid adverse effects.
35 citations
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April 2014 in “American Journal of Medical Genetics” The study reported a significant genotype–phenotype correlation in prepubescent males with XLHED, particularly in the severity of skin and hair manifestations between those with different EDA mutations.
This study found that a data-driven model using XGBoost effectively predicts individualized responses to minoxidil for androgenetic alopecia, outperforming traditional methods in accuracy and reliability.