Including additional controls from public databases improves the power of a genome-wide association study.
Ontology highlight
ABSTRACT: Though genome-wide association studies (GWAS) have identified numerous susceptibility loci for common diseases, their use is limited due to the expense of genotyping large cohorts of individuals. One potential solution is to use 'additional controls', or genotype data from control individuals deposited in public repositories. While this approach has been used by several groups, the genetically heterogeneous nature of the population of the United States makes this approach potentially problematic. We empirically investigated the utility of this approach in a US-based GWAS. In a small GWAS of pancreatic cancer in New York, we observed clear population structure differences relative to controls from the database of Genotypes and Phenotypes (dbGaP). When we conduct the GWAS using these additio
SUBMITTER: Mukherjee S
PROVIDER: S-EPMC3171281 | biostudies-literature | 2011
REPOSITORIES: biostudies-literature
ACCESS DATA