Multi-omic and Survival Analysis of Acute Chest Syndrome Burden in Sickle Cell Disease
Year: 2026
Type: preprint
Study design: Observational Study
Abstract: Sickle cell disease (SCD) results from homozygosity or compound heterozygosity for a single point mutation in the beta hemoglobin gene. Despite carrying the same underlying causal mutation, patients exhibit highly heterogeneous clinical outcomes. Acute chest syndrome (ACS) is one of the leading causes of mortality in SCD. In this study, we aimed to identify genetic variants associated with ACS occurrence and recurrence (>5 episodes) in two SCD cohorts (OMG-SCD and Walk-PHaSST) of predominantly African ancestry and characterize their downstream molecular consequences. Although none of the SNPs reached the genome-wide threshold in the occurrence meta-analysis, we identified 40 independent genetic loci with p <10 -5 . However, the recurrence GWAS in OMG-SCD, which compared individuals with no prior history of ACS to individuals with a history of >5 episodes, identified one genome-wide significant locus along with 38 other independent loci with p <10 -5 . Survival analysis suggested lower survival probability among young ACS recurrence cases compared to controls or occurrence cases. Furthermore, molecular QTL analysis of ACS recurrence identified 42 SNP-protein and eight SNP-metabolite associations with p <10 -3 . Pathway and enrichment analysis identified secretory, platelet/hemostatic, and complement-mediated pathways, confirming the complex and heterogeneous pathophysiology of ACS. This study highlights the importance of a well-defined phenotype for identification of risk loci and elucidates the complex interplay of hemolytic, inflammatory, and cellular organization pathways that warrants further evaluation through large-scale multi-omic studies of SCD patients. Ultimately, the more extreme phenotype of ACS recurrence may be a more informative phenotype for analysis, risk prediction, and therapeutic targeting.
Source: medRxiv
Language: English
Subfield: Genetics (clinical)
Field: Medicine
Domain: Health Sciences
Open Access status: green
Funder: Doris Duke Charitable Foundation
OpenAlex ID: W7222957902