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Research Abstracts Online
January 2009 - March 2010

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University of Minnesota Twin Cities
School of Public Health
Division of Epidemiology and Community Health

PI: James S. Pankow
Co-PI: Weihong Tang

Genetic Epidemiology of Cardiovascular Disease and Associated Risk Factors

This research project seeks to detect, localize, and characterize genes involved in the development of cardiovascular disease (CVD) and its associated risk factors (e.g., diabetes, high blood pressure, elevated cholesterol, etc.). Recent technological advances in molecular biology and genetics have provided new opportunities to explore the genetic architecture of complex diseases and traits such as CVD. Genetic epidemiological research on such traits, however, requires data on thousands of individuals, hundreds of genetic markers, and complex statistical models that are computationally demanding. Supercomputing resources are used to construct models with high order gene-gene or gene-environment interactions that cannot be practically evaluated otherwise, and to conduct simulation experiments.

Group Members

Saonli Basu, Faculty Collaborator
Suzette Bielinski, Department of Health Sciences Research, Division of Epidemiology, Mayo Clinic, Rochester, Minnesota
Xiting Cao, Graduate Student
Wei Feng, Graduate Student
Aaron Folsom, Faculty Collaborator
Xiao Xiao Kong, Graduate Student
Kamakshi Lakshminarayan, Faculty Collaborator
Joanlise Leon, Oklahoma Medical Research Foundation, Oklahoma City, Oklahoma
Amy Lynch, Research Associate
Michael B. Miller, Staff
Ivana Ninkovic, Graduate Student
Nathan Pankratz, Research Associate
Laura Rasmussen-Torvik, Graduate Student
Laura Raynor, Graduate Student
Richard Sherva, Department of Psychiatry, Washington University, St. Louis, Missouri
Adrian Tan, Graduate Student
Bharat Thyagarajan, Faculty Collaborator
Christina Wassel-Fyr, Department of Family and Preventive Medicine, University of California-San Diego, San Diego, California
Liu-Chen Weng, Graduate Student