Your browser doesn't support javascript.
loading
genomeprofile: Unveiling the genomic profile for livestock breeding through comprehensive SNP array-based genotyping.
Hulsegge, Ina; Bouwman, Aniek C; Derks, Martijn F L.
Afiliação
  • Hulsegge I; Animal Breeding and Genomics, Wageningen University and Research, Wageningen, The Netherlands.
  • Bouwman AC; Centre for Genetic Resources, The Netherlands, Wageningen University and Research, Wageningen, The Netherlands.
  • Derks MFL; Animal Breeding and Genomics, Wageningen University and Research, Wageningen, The Netherlands.
Anim Genet ; 2024 Jul 17.
Article em En | MEDLINE | ID: mdl-39021305
ABSTRACT
In livestock breeding, single nucleotide polymorphism arrays have become a cornerstone of modern livestock breeding. SNP arrays facilitate the identification of genetic markers linked to economically important traits and provide a powerful tool for predicting breeding values. However, conventional breeding programs often overlook additional genomic features contained in the SNP array data that can provide valuable insights into the genetic diversity, copy number variation, inbreeding levels and potential challenges in breeding lines. Here we present genomeprofile, a tool using SNP array-based genomic data, offering a comprehensive profile of breeding animals including the identification of copy number variants and runs of homozygosity, and screening for aneuploidy. By integrating these features into the breeding landscape, genomeprofile enables a more comprehensive picture of genomic variation, ultimately enhancing precision breeding strategies. To illustrate the practicality and efficacy of genomeprofile, we applied the tool to a dataset of four pig breeding lines. The genomeprofile tool is a user-friendly tool that processes genotype data in finalreport or plink ped format efficiently into useful output. The output contains copy number variations, runs of homozygosity, selection signatures, aneuploidy and inbreeding per individual and across populations. This allows breeding companies and researchers to identify unique individuals or regions in the genome of interest based on routinely collected data.
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article