2013
DOI: 10.1016/j.fsigss.2013.10.164
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Application of multifactor dimensionality reduction analysis and Bayesian networks for eye color and ancestry prediction for forensic purposes in the Czech Republic

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Cited by 2 publications
(4 citation statements)
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“…Both methods may provide similar accuracy when the same SNP panel is used [15] although ML methods require a higher computational cost and expertise. Indeed, several articles compared and introduced different classi ers for FDP analysis [12,48,67,68,70,117,205,206,217,227,252,299,327].…”
Section: Prediction Models and Algorithmsmentioning
confidence: 99%
“…Both methods may provide similar accuracy when the same SNP panel is used [15] although ML methods require a higher computational cost and expertise. Indeed, several articles compared and introduced different classi ers for FDP analysis [12,48,67,68,70,117,205,206,217,227,252,299,327].…”
Section: Prediction Models and Algorithmsmentioning
confidence: 99%
“…However, the selection of the best SNPs for EVC determination seems to be highly population-dependent, suggesting that panels for eye-colour prediction should be adjusted for different geographical regions: for instance, a relevant effect on eye colour was observed for rs1408799 in the Polish population, and for rs916977 in the Czech population, while rs1800416 was found to be significantly associated with eye colour only in the Brazilian population [24,60,70].…”
Section: Fig 2 Melanin Biosynthesis Pathwaymentioning
confidence: 99%
“…However, especially for eye and skin colour, one of the main approaches consisted of seeking advice from specialists in the sector, usually ophthalmologists and dermatologists, but also anthropologists with experience in phenotyping [24,26,38,61,72,73,75,87,90]. In a few cases, phenotype data were collected from participants themselves, through self-declaration or self-administered questionnaires [60,64,69,92,93] or were not known and just inferred from ethnic background [53,65]. Occasionally, the method used was not indicated [41,60,65,74,76].…”
Section: Phenotype Evaluationmentioning
confidence: 99%
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