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Dataset Information

A single-nucleotide polymorphism (SNP) multiplex system: the association of five SNPs with human eye and hair color in the Slovenian population and comparison using a Bayesian network and logistic regression model.


ABSTRACT:

Aim

To analyze two phenotype characteristics--eye and hair color--using single-nucleotide polymorphisms (SNPs) and evaluate their prediction accuracy in Slovenian population.

Methods

Twelve SNPs (OCA2 - rs1667394, rs7170989, rs1800407, rs7495174; HERC2 - rs1129038, rs12913832; MC1R - rs1805005, rs1805008; TYR - rs1393350; SLC45A2 - rs16891982, rs26722; SLC24A5 - rs1426654) were used for the development of a single multiplex assay. The single multiplex assay was based on SNaPshot chemistry and capillary electrophoresis. In order to evaluate the accuracy of the prediction of eye and hair color, we used the logistic regression model and the Bayesian network model, and compared the parameters of both.

Results

The new single multiplex assay displayed high levels of genotyp

SUBMITTER: Kastelic V 

PROVIDER: S-EPMC3490452 | biostudies-literature | 2012 Oct

REPOSITORIES: biostudies-literature