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/