A common molecular signature of patients with sickle cell disease revealed by microarray meta-analysis and a genome-wide association study.

ABSTRACT: A chronic inflammatory state to a large extent explains sickle cell disease (SCD) pathophysiology. Nonetheless, the principal dysregulated factors affecting this major pathway and their mechanisms of action still have to be fully identified and elucidated. Integrating gene expression and genome-wide association study (GWAS) data analysis represents a novel approach to refining the identification of key mediators and functions in complex diseases. Here, we performed gene expression meta-analysis of five independent publicly available microarray datasets related to homozygous SS patients with SCD to identify a consensus SCD transcriptomic profile. The meta-analysis conducted using the MetaDE R package based on combining p values (maxP approach) identified 335 differentially expressed genes (

SUBMITTER: Ben Hamda C 

PROVIDER: S-EPMC6034806 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature