Integrating GWAS and expression data for functional characterization of disease-associated SNPs: an application to follicular lymphoma.

ABSTRACT: Development of post-GWAS (genome-wide association study) methods are greatly needed for characterizing the function of trait-associated SNPs. Strategies integrating various biological data sets with GWAS results will provide insights into the mechanistic role of associated SNPs. Here, we present a method that integrates RNA sequencing (RNA-seq) and allele-specific expression data with GWAS data to further characterize SNPs associated with follicular lymphoma (FL). We investigated the influence on gene expression of three established FL-associated loci-rs10484561, rs2647012, and rs6457327-by measuring their correlation with human-leukocyte-antigen (HLA) expression levels obtained from publicly available RNA-seq expression data sets from lymphoblastoid cell lines. Our results suggest that SN

SUBMITTER: Conde L 

PROVIDER: S-EPMC3542469 | biostudies-literature | 2013 Jan

REPOSITORIES: biostudies-literature