SEMINARS |
|
Spring 2007
STATISTICS
COLLOQUIUM
Wednesday, February 28, 2007
3:30-4:00—Refreshments, Yost 327
4:00-5:00—Talk,
Yost, Room 101
Jing Li, PhD
Department of Electrical Engineering and Computer Science
Case Western Reserve University
Statistical Challenges in Genome-Wide Association Studies
With the completion of the international HapMap project and with recent advances in genotyping technology, large-scale genome-wide association studies (GWAS) for complex diseases are increasingly common. However, great statistical challenges still exist in testing hundreds of thousands SNPs in the context of mapping complex diseases. In this talk, I will discuss some of our recent work for GWAS based on multi-stage designs and multi-stage analysis. In a multi-stage design, only a fraction of samples are genotyped and tested using a dense set of SNPs in the first stage, and only a small subset of markers that show moderate associations with disease will be genotyped in the second (or later) stage(s). In a multi-stage analysis, single-locus based approaches are performed in the first stage and gene-gene interactions are evaluated in later stages. I will mainly focus on SNP subset selection methods that prompt SNPs from one stage to later stages.
.
|
| |
