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Title: Stimultaneous prediction of multiple traits using dense genome-wide SNP markers

Author
item MATUKUMALLI, LAKSHMI - GEORGE MASON UNIVERSITY
item Sonstegard, Tad
item SILVA, MARCOS - EMBRAPA
item 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.