Invited keynote talk: Haplotype sharing for genome-wide case-control association studies

The computational demands imposed by the large number of markers considered in a genome-wide association study (GWAS) have resulted in an extreme simplification in the types of analyses conducted. While sophisticated methodology may be used to adjust for multiple comparisons, most studies are analyzed one marker at a time using simple tests such as the Cochran-Armitage trend test. Though computationally simple, a significant limitation of such an analysis paradigm is its failure to efficiently use the information contained in the GWAS sample. © 2008 Springer-Verlag Berlin Heidelberg.

Duke Scholars

Author Andrew Scott Allen Biostatistics & Bioinformatics, Division of Integrative Geno ...