DIMACS Workshop on Computational Issues in Genetic Epidemiology

August 21 - 22, 2008
DIMACS Center, CoRE Building, Rutgers University

Andrew Scott Allen, Duke University, andrew.s.allen at duke.edu
Ion Mandoiu, University of Connecticut, ion at engr.uconn.edu
Dan Nicolae, University of Chicago, nicolae at galton.uchicago.edu
Yi Pan, Georgia State University, pan at cs.gsu.edu
Alex Zelikovsky, Georgia State University, alexz at cs.gsu.edu
Presented under the auspices of the DIMACS/BioMaPS/MB Center Special Focus on Information Processing in Biology.

This special focus is jointly sponsored by the Center for Discrete Mathematics and Theoretical Computer Science (DIMACS), the Biological, Mathematical, and Physical Sciences Interfaces Institute for Quantitative Biology (BioMaPS), and the Rutgers Center for Molecular Biophysics and Biophysical Chemistry (MB Center).

There is strong evidence that genes play a major role in susceptibility to all common human diseases. While linkage analysis has been very successful in finding the genes involved in Mendelian diseases such as Huntington disease, early onset Alzheimer's disease and cystic fibrosis, current interest has shifted towards mapping genes involved in diseases with complex etiologies such as diabetes and cancer, for which association studies have been shown to be more powerful. The workshop will bring together computer scientists, geneticists, and statisticians aiming to address current computational challenges in gene mapping, which include dealing with complex missing data patterns, multiple hypotheses testing, population substructure, gene-gene and gene-environment interactions. New directions of research, such as capturing the effects of structural genomic variation and using biological networks in whole-genome studies, will also be investigated.

Next: Call for Participation
Workshop Index
DIMACS Homepage
Contacting the Center
Document last modified on March 27, 2008.