Associate Professor Nathan Pankratz

Lab Medicine & Pathology
Medical School
Twin Cities
Project Title: 
Analysis of Genome-Wide Data to Identify Genetic Risk Factors for Diseases

These researchers use a variety of statistical techniques to analyze de-identified genome-wide association data. These datasets include those generated by the NIH, as well as those from the University of Minnesota Genomics Center. The goal will be to better understand patterns of sequence variation and genomic architecture (deletions, duplications, and inversions), as well as to devise, evaluate, and utilize methods to identify genes that contribute to disease susceptibility.

Project Investigators

Shannon Cigan
Kaitlin Clarke
Benjamin Cole
Mark Hiner
Spencer Kelley
Taylor Kuebler
John Lane
John Meredith
Associate Professor Nathan Pankratz
Travis Rogers
Karan Shah
Mary Stimson
 
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