title: Board-invited review: Applications of genomic information in livestock.
abstract: The availability of whole genome sequences for individual species will change the landscape for livestock genomic research. Animal scientists will have access to whole-genome sequence-based technologies such as high-throughput SNP genotyping assays, gene expression profiling, methylation profiling, RNA interference, and genome resequencing that will revolutionize the scale upon which research will be conducted. These technologies will also alter the ways we think about addressing industry and scientific problems. In this review, we discuss the scientific bases for these emerging technologies and present recent highlights of their application in human, model species, and livestock as well as their potential for future applications in livestock. Additionally, we discuss strategies for their use in the genetic improvement and management of livestock. In particular, we present a strategy for the simultaneous identification of causal mutations underlying phenotypic traits in livestock and discuss issues that will arise in the application of whole genome selection for the prediction of genetic merit in livestock. We also point out that the statistical analysis that underlies the whole genome selection methodology is a sophisticated enhancement of single marker association mapping analysis to allow the entire genome to be simultaneously analyzed.
authors: Division of Animal Sciences, University of Missouri, Columbia 65211, USA.
authors: E M
authors: EM
authors: Sellner
authors: J W
authors: JW
authors: Kim
authors: M C
authors: MC
authors: McClure
authors: K H
authors: KH
authors: Taylor
authors: R D
authors: RD
authors: Schnabel
authors: J F
authors: JF
authors: Taylor
mesh_terms: D000822:Animal Husbandry / Q000379:methods*; D000818:Animals; D000829:Animals, Domestic / Q000235:genetics*; D044127:Epigenesis, Genetic; D020869:Gene Expression Profiling; D005819:Genetic Markers; D016678:Genome; D040641:Quantitative Trait Loci; D034622:RNA Interference
chemical_list: D005819:Genetic Markers