Genomewide Association Studies in Mixed Populations

• Activity Number: 599
• Type: Invited
• Date/Time: Thursday, August 5, 2010 : 8:30 AM to 10:20 AM
• Sponsor: Section on Statistical Learning and Data Mining
• Author(s): Hua Tang*+
• Companies: Stanford University
• Keywords: genetic admixture ; genome-wide association study

Abstract

Admixture mapping is a method that exploits ancestral allele frequency differences to map disease susceptibility genes in recently admixed populations such as African Americans and Latinos. With the advent of high density genotyping platforms with as many as 500K SNPs or more for genome-wide association studies, a question arises as to the relative power of direct association analysis versus admixture mapping in such populations. Previously we have shown that with high-density SNP arrays, it is possible to accurately reconstruct the ancestry block structure of an admixed individual. Here we evaluate the relative efficiency of genotype- and ancestry-based association analyses. We also consider a strategy that combines the two sources of information.