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Title:   Author  item
                                            Van Tassell, Curtis

                                                         - *Curt*item
                                            Vanraden, Paulitem
                                            Wiggans, Georgeitem
                                            MATUKUMALLI, L - GEORGE MASONitem
                                            Schroeder, Steven

                                                         - *Steve*item
                                            O'CONNELL, J - UNIVERSITY OF MARYLANDitem
                                            SCHNABEL, R - UNIVERSITY OF MARYLANDitem
                                            TAYLOR, J - UNIVERSITY OF MISSOURIitem
                                            POLLAK, E - CORNELL UNIVERSITYitem
                                            MUNSON, M - ILLUMINAitem
                                            BAILEY, D - ILLUMINAitem
                                            Sonstegard, Tad
  Submitted to: Joint Abstracts of the American Dairy Science and Society of Animal Science
                                    Publication Type: Abstract Only
                                    Publication Acceptance Date: 2/28/2009
                                    Publication  Date: 7/11/2009
                                    Citation: Van Tassell, C.P., Van Raden, P.M., Wiggans, G.R., Matukumalli, L.K., Schroeder, S.G., O'Connell, J., Schnabel, R.D., Taylor, J.F., Pollak, E.J., Munson, M., Bailey, D., Sonstegard, T.S. 2009. Accelerating genetic improvement with SNP chips and DNA sequencing. Joint Abstracts of the American Dairy Science and Society of Animal Science.Interpretive Summary:
                                Technical Abstract: The development of high-density single nucleotide polymorphism (SNP) assays is expected to have a profound impact on genetic progress in the U.S. dairy industry. In the 16 months since its initial availability, the Illumina BovineSNP50 BeadChip has been used to genotype nearly 20,000 Holsteins. These genomic data were included for the first time in the national dairy cattle genetic evaluation published by the USDA in January 2009. Substantial increases in genetic improvement have been predicted through the implementation of genome enabled selection. Currently, however, validation results are available only from the analysis of historic data, where populations have somewhat arbitrarily been divided into past and “future” populations. Availability of low-density but targeted SNP data could also dramatically impact genetic improvement. Low-density SNP data could be used to validate reported parentage and correct pedigree errors if comprehensive genotyping were conducted. These data could also be used to discover parentage and to more accurately characterize the degree of relatedness among animals in the population using genomics-based relationship coefficients. By accurately charactering the fractions of the genome inherited from each grandparent, genetic similarity that is currently described by statistical averaging using the pedigree could be refined to more accurately predict genetic merit early in life. Finally, individual animal genome sequencing is on the scientific horizon. Availability of such data could have implications beyond genetic improvement, and result in deeper understandings of basic biology, consequences of selection, and even animal and human health. Our ability to fully utilize these data will present enormous statistical and computational challenges.


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