Genomic architecture of sickle cell disease clinical variation in children from West Africa : a case-control study design
Background: Sickle Cell Disease (SCD) is an important public health issue, particularly in Africa. Phenotypic heterogeneity of SCD is problematic for follow-up and treatment of patients. Little is known about the underlying genomic architecture responsible for this variation.  Rationale: Understanding the genetic contribution to the inter-patient variability will help in identifying patients at risk of developing more severe clinical outcomes, as well as help guide future developments for treatment options. Objectives: To characterize genome-wide gene expression patterns associated with SCD clinical severities and to identify genetic regulators of this variation. More specifically, our objectives were to associate gene expression profiles with SCD severity, identify transciptional biomarkers, characterise the genetic control of gene expression variation, and propose drug targets.  Methods: A case-control population of 250 SCD patients and 61 unaffected siblings from the National SCD Center in Benin were recruited. Genome-wide gene expression profiles and genotypic data were generated. Results: Genome-wide gene expression patterns associated with SCD clinical variation were enriched in B-lymphocyte development, platelet activation, stress, inflammation and cell proliferation pathways. Transcriptional biomarkers that can discriminate SCD patients with respect to clinical severities were identified. Hundreds of genetic regulators were significantly associated with gene expression variation and potential drug targets are suggested. Conclusion: This work improves our understanding of the biological basis of SCD clinical variation and has the potential to guide development of targeted treatments for SCD patients.
eSNP Expression Sickle cell disease Genomics eSNP Transcriptomics Biomarkers Drug repurposing Sub-saharan Africa