Commonality of functional annotation: a method for prioritization of candidate genes from genome-wide linkage studies.

ABSTRACT: Linkage studies of complex traits frequently yield multiple linkage regions covering hundreds of genes. Testing each candidate gene from every region is prohibitively expensive and computational methods that simplify this process would benefit genetic research. We present a new method based on commonality of functional annotation (CFA) that aids dissection of complex traits for which multiple causal genes act in a single pathway or process. CFA works by testing individual Gene Ontology (GO) terms for enrichment among candidate gene pools, performs multiple hypothesis testing adjustment using an estimate of independent tests based on correlation of GO terms, and then scores and ranks genes annotated with significantly-enriched terms based on the number of quantitative trait loci regions in

SUBMITTER: Shriner D 

PROVIDER: S-EPMC2275105 | biostudies-literature | 2008 Mar

REPOSITORIES: biostudies-literature