Effect of genotype imputation on genome-enabled prediction of complex traits: an empirical study with mice data


Felipe V. P. S. , Okut H., Gianola D., Silva M. A. , Rosa G. J. M.

BMC GENETICS, vol.15, 2014 (SCI-Expanded) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 15
  • Publication Date: 2014
  • Doi Number: 10.1186/s12863-014-0149-9
  • Journal Name: BMC GENETICS
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Van Yüzüncü Yıl University Affiliated: Yes

Abstract

Background: Genotype imputation is an important tool for whole-genome prediction as it allows cost reduction of individual genotyping. However, benefits of genotype imputation have been evaluated mostly for linear additive genetic models. In this study we investigated the impact of employing imputed genotypes when using more elaborated models of phenotype prediction. Our hypothesis was that such models would be able to track genetic signals using the observed genotypes only, with no additional information to be gained from imputed genotypes.