Journal of Forensic Sciences · 2010 · 137 citations · 43 references
Life SciencesGeneticsMolecular GeneticsHuman GeneticsMedical GeneticsStatistical GeneticsCandidate Gene AnalysisGenetic Risk PredictionGenome-wide Association StudiesGenomic PredictionGenotype-phenotype Association AnalysisMarker-trait AssociationLinear RegressionMultiple RegressionPigmentationPigmentation Gene VariantsPigmentation VariationPositive Predictive ValueSingle-nucleotide Polymorphism Association AnalysisTrait Prediction
Genetic information in forensic studies is largely limited to CODIS data and the ability to match samples and assign them to an individual. However, there are circumstances, in which a given DNA sample does not match anyone in the CODIS database, and no other information about the donor is available. In this study, we determined 75 SNPs in 24 genes (previously implicated in human or animal pigmentation studies) for the analysis of single- and multi-locus associations with hair, skin, and eye color in 789 individuals of various ethnic backgrounds. Using multiple linear regression modeling, five SNPs in five genes were found to account for large proportions of pigmentation variation in hair, skin, and eyes in our across-population analyses. Thus, these models may be of predictive value to determine an individual's pigmentation type from a forensic sample, independent of ethnic origin.
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