Differential allelic expression in normal breast tissue

ABSTRACT: Most loci contributing to breast cancer susceptibility identified by the recent genome-wide association studies (GWAS) are predicted to have a regulatory function. Additionally, the early phases of the GWAS studies have generated long lists of possible candidates that need to be prioritised for follow-up studies. Integration of allelic expression mapping and disease association data should enable the identification of those GWAS hits with higher cis-regulatory potential. Our aims are (1) to assess how well functional data and disease risk are correlated and (2) to help prioritise and select the strongest candidates from the GWAS scan for further follow-up and functional analysis. We are performing genome-wide differential allelic expression (DAE) analysis to identify loci with cis-regulato

ORGANISM(S): Homo sapiens

SUBMITTER: Ana Teresa Maia 

PROVIDER: E-GEOD-35023 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress