Application of imputation methods to the analysis of rheumatoid arthritis data in genome-wide association studies.

ABSTRACT: Most genetic association studies only genotype a small proportion of cataloged single-nucleotide polymorphisms (SNPs) in regions of interest. With the catalogs of high-density SNP data available (e.g., HapMap) to researchers today, it has become possible to impute genotypes at untyped SNPs. This in turn allows us to test those untyped SNPs, the motivation being to increase power in association studies. Several imputation methods and corresponding software packages have been developed for this purpose. The objective of our study is to apply three widely used imputation methods and corresponding software packages to a data from a genome-wide association study of rheumatoid arthritis from the North American Rheumatoid Arthritis Consortium in Genetic Analysis Workshop 16, to compare the perfor

SUBMITTER: Childers DK 

PROVIDER: S-EPMC2795921 | biostudies-literature | 2009 Dec

REPOSITORIES: biostudies-literature