Selecting a maximally informative set of single-nucleotide polymorphisms for association analyses using linkage disequilibrium.

ABSTRACT: Common genetic polymorphisms may explain a portion of the heritable risk for common diseases. Within candidate genes, the number of common polymorphisms is finite, but direct assay of all existing common polymorphism is inefficient, because genotypes at many of these sites are strongly correlated. Thus, it is not necessary to assay all common variants if the patterns of allelic association between common variants can be described. We have developed an algorithm to select the maximally informative set of common single-nucleotide polymorphisms (tagSNPs) to assay in candidate-gene association studies, such that all known common polymorphisms either are directly assayed or exceed a threshold level of association with a tagSNP. The algorithm is based on the r(2) linkage disequilibrium (LD) stat

SUBMITTER: Carlson CS 

PROVIDER: S-EPMC1181897 | biostudies-literature | 2004 Jan

REPOSITORIES: biostudies-literature