Research Abstracts Online
January - December 2011
University of Minnesota Twin Cities
College of Food, Agricultural, and Natural Resource Sciences
of Animal Science
PI: Yang Da
Data Analysis for Genome-Wide Association Studies in Domestic Animals
Epistasis (gene interaction) effects may be important genetic mechanism of human complex disease. However, computing time is a severe limiting factor for large-scale epistasis testing. This project continues the development of the parallel computing tools these researchers have completed and published for more complex and difficult genome-wide association analysis, and to apply those tools for analyzing the human Framingham Heart Study data and the Principal Investigator’s project of genome-wide association in dairy cattle.
The Framingham Heart Study, started in 1948, is the largest human genetics study. These researchers are currently analyzing 500,000 SNP markers genotyped on about 4,000 individuals. This is only a small fraction of the study’s available data. Computing tools implementing new methods for analyzing the Framingham data will be developed and will be applied. The computing tools developed in collaboration with MSI have been critical to timely data analysis in the dairy-cattle project and this project is also continuing.
Li Ma, Graduate Student
Shen-Wen Wang, Graduate Student