
This research group seeks to detect, localize, and characterize genes involved in the development of cardiovascular disease (CVD) and its associated risk factors (i.e., diabetes, high blood pressure, elevated blood 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. However, genetic epidemiological research on such traits requires data on thousands of individuals, hundreds of genetic markers, and complex statistical models that are computationally demanding. For this reason, this group is using resources from the Supercomputing Institute.
Donna Arnett, Faculty Collaborator
Projjwal Ghosh, Graduate Student Researcher
Amy Lynch, Graduate Student Researcher
Michael B. Miller, Faculty Collaborator
James Peacock, Research Associate
Weihong Tang, Research Associate
Kim Weis, Graduate Student Researcher
This information is available in alternative formats upon request by
individuals with disabilities. Please send email to
alt-format@msi.umn.edu
or call 612-624-0528.
HOME
|
QUESTIONS |
FEEDBACK
Events |
Links |
People |
Programs |
Publications |
Support |
Welcome
|
|
URL: http:// |
|
| This page last modified on | ||
| Please direct questions or problems to help@msi.umn.edu | ||
|
Website related questions or problems should be directed to
webmaster@msi.umn.edu
The University of Minnesota Supercomputing Institute does not collect personal information on visitors to our website. For the University of Minnesota policy, see www.privacy.umn.edu. © 2002 by the Regents of the University of Minnesota |
||