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SCIENCE AT THE EDGE SEMINAR QB/GEDD Friday, September 23 at 11:30am Room 1400 Biomedical and Physical Sciences Bldg. Refreshments at 11:15 Shizhong Xu Department of Botany and Plant Sciences, University of California, Riverside, CA Using Genome-wide Marker Information to Detect Natural Selection Viability selection will cause fitness related genes to deviate from the expected Mendelian segregation. These loci are called viability selection loci. Molecular markers closedly inked with these viability loci will show distorted segregation. Using the distorted markers, we can locate the viability loci. In this study, we develop a generalized linear model to map the viability selection loci using genome-wide high density marker information. Parameters of the generalized linear model are estimated using the maximum-a-posteriori (MAP) approach. A real life example is used to demonstrate the generalized linear model. Helen Geiger Administrative Assistant Quantitative Biology Graduate Program and Gene Expression in Development and Disease 502B Biochemistry Building Michigan State University East Lansing, MI 48824 Email: [log in to unmask] QB Website: http://www.qbi.msu.edu/ GEDD Website: http://www.gedd.msu.edu/