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Research Abstracts Online
January 2008 - March 2009

Mayo Clinic College of Medicine
Department of Cardiovascular Diseases

PI: Iftikhar J. Kullo

Patterns of Population Differentiation of Cardiovascular Disease Genes

These researchers use state-of-the-art molecular population genetics approaches to provide insight into the evolutionary genetics of coronary heart disease, the leading cause of morbidity and mortality in the United States. Using MSI resources, they performed simulation studies to assess the statistical power in a whole-genome association study, combining the statistic of association with the evidence of natural selection. They employed a forward-simulation algorithm to simulate genome-wide case-control data. The simulation considered different population genetic parameters and selection schemes. The researchers investigated whether the combined statistics will increase statistical power and how the different population genetic parameters and selection schemes affect the statistical power.

Group Member

Keyue Ding, Research Associate