Standard statistical tools for the breed allocation problem
Modern technologies are frequently used in order to deal with new genomic problems. For instance, the STRUCTURE software is usually employed for breed assignment based on genetic information. However, standard statistical techniques offer a number of valuable tools which can be successfully
used for dealing with most problems. In this paper, we investigated the capability of microsatellite markers for individual identification and their potential use for breed assignment of individuals in seventy Lidia breed lines and breeders. Traditional binomial logistic regression is applied
to each line and used to assign one individual to a particular line. In addition, the area under receiver operating curve (AUC) criterion is used to measure the capability of the microsatellite-based models to separate the groups. This method allows us to identify which microsatellite loci
are related to each line. Overall, only one subject was misclassified or a 99.94% correct allocation. The minimum observed AUC was 0.986 with an average of 0.997. These results suggest that our method is competitive for animal allocation and has some interpretative advantages and a strong
relationship with methods based on SNPs and related techniques.
Keywords: ROC curves; breed allocation; logistic regression; microsatellite loci
Document Type: Research Article
Affiliations: 1: Oficina de Investigación Biosanitaria (OIB-FICYT), Oviedo, Spain 2: Dpto. de Estadística, IO y DM, Universidad de Oviedo, Spain 3: Dpto. de CC. Agroforestales, Universidad de Valladolid, Spain 4: Lab. de Genética, Facultad de Veterinaria, Universidad Complutense de Madrid, Spain
Publication date: 03 August 2014
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