Prediction of skin color, tanning and freckling from DNA in Polish population: linear regression, random forest and neural network approaches.

ABSTRACT: Predicting phenotypes from DNA has recently become extensively studied field in forensic research and is referred to as Forensic DNA Phenotyping. Systems based on single nucleotide polymorphisms for accurate prediction of iris, hair and skin color in global population, independent of bio-geographical ancestry, have recently been introduced. Here, we analyzed 14 SNPs for distinct skin pigmentation traits in a homogeneous cohort of 222 Polish subjects. We compared three different algorithms: General Linear Model based on logistic regression, Random Forest and Neural Network in 18 developed prediction models. We demonstrate Random Forest to be the most accurate algorithm for 3- and 4-category estimations (total of 58.3% correct calls for skin color prediction, 47.2% for tanning prediction, 50

SUBMITTER: Zaorska K 

PROVIDER: S-EPMC6554257 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature