Multimarker analysis and imputation of multiple platform pooling-based genome-wide association studies.

ABSTRACT: For many genome-wide association (GWA) studies individually genotyping one million or more SNPs provides a marginal increase in coverage at a substantial cost. Much of the information gained is redundant due to the correlation structure inherent in the human genome. Pooling-based GWA studies could benefit significantly by utilizing this redundancy to reduce noise, improve the accuracy of the observations and increase genomic coverage. We introduce a measure of correlation between individual genotyping and pooling, under the same framework that r(2) provides a measure of linkage disequilibrium (LD) between pairs of SNPs. We then report a new non-haplotype multimarker multi-loci method that leverages the correlation structure between SNPs in the human genome to increase the efficacy of pooli

SUBMITTER: Homer N 

PROVIDER: S-EPMC2732219 | biostudies-literature | 2008 Sep

REPOSITORIES: biostudies-literature