Whole Blood Transcriptomic Analysis of Sickle Cell Trait
Year: 2026
Type: article
Abstract: Sickle cell trait (SCT) is the heterozygous carrier state for the HBB missense variant which causes sickle cell disease (SCD). SCT has been associated with increased risk of venous thromboembolism and chronic kidney disease as well as alterations in clinical laboratory parameters. To investigate differential gene expression in SCT, we used RNA sequencing of whole blood samples collected from 805 African American female participants (143 SCT; 660 controls) from the Women's Health Initiative Long Life Study (mean age = 76). We identified 226 differentially expressed genes (DEGs) in SCT compared to non-carriers (FDR < 0.05). Enriched pathways included those related to erythropoiesis, hemoglobin synthesis, and proteasomal degradation. Many of the SCT-associated DEGs were previously reported as differentially expressed in blood from individuals with SCD. Among the DEGs associated with SCT, we observed enrichment of upregulated ubiquitin-related genes normally downregulated during the later stages of erythroid differentiation, a pattern previously reported in SCD. Several of the SCT-associated DEGs highlight mechanisms that potentially link hemolysis or erythropoiesis to hypoxic kidney tubular injury. Future investigation of these genes using single cell transcriptomic analysis in relevant tissues may be useful in understanding mechanisms for adverse health outcomes in individuals with SCT.
Source: European Journal Of Haematology
DOI: 10.1111/ejh.70114
Language: English
Subfield: Genetics
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $4,650
Funders: U.S. Department of Health and Human Services, Women's Health Initiative, Fred Hutchinson Cancer Research Center, Massachusetts Institute of Technology, Broad Institute, National Institutes of Health, National Heart, Lung, and Blood Institute, National Human Genome Research Institute, National Institute of Allergy and Infectious Diseases
Awards: G1129490614, G1211708387, G2184089116, G3827278403, G4499735890, G5139823010, G5256325323, G5269787389, G554960330, G571830633, G5777902738, G6238440229, G6371241415, G6374953548, G6894818919, G77860733, G7842000789, G796413602, G8566225511, G8701158553, G883406506, G8836210513, Next generation functional genomics of hematology traits
OpenAlex ID: W7123664320
