Combined use of principal component analysis and random forests identify population-informative single nucleotide polymorphisms: application in cattle breeds.

@article{Bertolini2015CombinedUO,
  title={Combined use of principal component analysis and random forests identify population-informative single nucleotide polymorphisms: application in cattle breeds.},
  author={Francesca Bertolini and Giuliano Galimberti and Daniela G. Cal{\`o} and Giuseppina Schiavo and Donato Matassino and Luca Fontanesi},
  journal={Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie},
  year={2015},
  volume={132 5},
  pages={346-56}
}
The genetic identification of the population of origin of individuals, including animals, has several practical applications in forensics, evolution, conservation genetics, breeding and authentication of animal products. Commercial high-density single nucleotide polymorphism (SNP) genotyping tools that have been recently developed in many species provide information from a large number of polymorphic sites that can be used to identify population-/breed-informative markers. In this study… CONTINUE READING