Linking disease associations with regulatory information in the human genome.

ABSTRACT: Genome-wide association studies have been successful in identifying single nucleotide polymorphisms (SNPs) associated with a large number of phenotypes. However, an associated SNP is likely part of a larger region of linkage disequilibrium. This makes it difficult to precisely identify the SNPs that have a biological link with the phenotype. We have systematically investigated the association of multiple types of ENCODE data with disease-associated SNPs and show that there is significant enrichment for functional SNPs among the currently identified associations. This enrichment is strongest when integrating multiple sources of functional information and when highest confidence disease-associated SNPs are used. We propose an approach that integrates multiple types of functional data generat

SUBMITTER: Schaub MA 

PROVIDER: S-EPMC3431491 | biostudies-literature | 2012 Sep

REPOSITORIES: biostudies-literature