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Title:   Author  item
                                            MATUKUMALLI, LAKSHMI - GEORGE MASON UNIVERSITYitem
                                            Sonstegard, Taditem
                                            SILVA, MARCOS - EMBRAPAitem
                                            Liu, Ge

                                                         - *George*item
                                            Van Tassell, Curtis

                                                         - *Curt*
  Submitted to: Meeting Proceedings
                                    Publication Type: Proceedings
                                    Publication Acceptance Date: 1/26/2007
                                    Publication  Date: 1/27/2007
                                    Citation: Matukumalli, L.K., Sonstegard, T.S., Silva, M.V., Liu, G., Van Tassell, C.P. 2007. Stimultaneous prediction of multiple traits using dense genome-wide SNP markers. Meeting Proceedings.Interpretive Summary:
                                Technical Abstract: Most human whole genome association studies currently under consideration are attempting to fine-map a given complex trait from multi-stage case-control studies with the final goal of being able to use a small marker dataset for detecting disease associations.  In livestock species such as cattle new algorithms are being developed for application of genome-wide SNP markers to predict the genetic values and phenotypes. In this article we contrast the methods for marker-disease association approaches in biomedical studies against the genome prediction algorithms being developed in livestock and then propose application of the genome prediction methods to studies of complex disease in humans to better enable the development of novel preventive treatments and personalized medicine.


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