Forensic DNA Phenotyping: a review on SNP panels, genotyping techniques, and prediction models
March 2023
in “
Research Square (Research Square)
”
Research cited in this study
6 / 6 resultsresearch Evaluation of loci to predict ear morphology using two SNaPshot assays
research Exploring the possibility of predicting human head hair greying from DNA using whole-exome and targeted NGS data
The study investigated the potential of predicting human head hair greying using genetic data from nearly 1,000 Polish individuals. It developed prediction models incorporating age, sex, and 13 SNPs, with significant markers including KIF1A rs59733750 and FGF5 rs7680591. The models achieved high accuracy, with AUCs up to 0.875, but genetic variants explained less than 10% of the variation, highlighting age as the dominant factor. The research confirmed the association of the IRF4 gene with hair greying and suggested that environmental factors and DNA methylation might also play roles. The study concluded that hair greying is a complex genetic trait and recommended further research to enhance prediction models.
research Prediction of Male-Pattern Baldness from Genotypes
Genetic data can predict male-pattern baldness with moderate accuracy, especially for early-onset cases in some European men.
research Evaluation of the Predictive Capacity of DNA Variants Associated with Straight Hair in Europeans
Certain DNA variants can predict straight hair in Europeans but are not highly specific.
research Evaluation of DNA Variants Associated with Androgenetic Alopecia and Their Potential to Predict Male Pattern Baldness
DNA variants can predict male pattern baldness, with higher risk scores increasing baldness likelihood.
research Improving Human Forensics Through Advances in Genetics, Genomics, and Molecular Biology
DNA profiling in forensics has improved, but predicting physical traits and ancestry from DNA has limitations and requires ethical consideration.