MedicinemedRxiv

Ranked by formulaVerdict: Notable

Multi-omic and Survival Analysis of Acute Chest Syndrome Burden in Sickle Cell Disease

Sickle cell disease (SCD) results from homozygosity or compound heterozygosity for a single point mutation in the beta hemoglobin gene.

By Kulshrestha, Garrett, Nouraie +6

Score█████░░░░░4.7

Caveats

  • Not randomized: its findings are associations.
  • Preprint; not yet peer reviewed.

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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 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.

A. Kulshrestha, M. E. Garrett, S. M. Nouraie, R. F. Machado, V. R. Gordeuk, M. T. Gladwin, M. J. Telen, A. E. Ashley-Koch, NHLBI Trans-Omics for Precision Medicine (TOPMed)

The editor's rubric

Heuristic review

Leverage2 / 5
Reusable within one subfield (a technique, dataset, or protocol a few groups will adopt).
10% of this desk’s rubric
Magnitude2 / 5
Solid incremental gain on a meaningful problem.
20% of this desk’s rubric
Evidence3 / 5
Solid: multiple benchmarks or cohorts, ablations, fair baselines, released code or data.
32% of this desk’s rubric
Novelty2 / 5
A new combination of known ideas.
8% of this desk’s rubric
Trajectory2 / 5
Some room to improve with obvious engineering.
5% of this desk’s rubric
Stakes4 / 5
Large-scale human impact: millions of people, or a major industry.
25% of this desk’s rubric

Editor’s rationale

Heuristic triage from title and abstract text only, not a reading of the paper. Cues found: design (meta-analysis); verification (multiple benchmarks, independent replication); scale (scalable); stakes (mortality, major disease, prevention or cure). Red flags: not randomized.

How the score was computed

rank-2026-10-18

Score█████░░░░░4.7

Score = 10 × (80% × adjusted merit / 10 + 10% × attention + 10% × freshness)

Desks place stronger verdicts first, then use this score to order work within the same verdict.

Merit
5.6 / 10
Weighted rubric, evidence-gated.
Adjusted merit
4.8 / 10
Shrunk toward the desk prior by editor confidence (46%).
Attention
0%
Citations, upvotes, points, mentions.
Freshness
92%
Half-life decay since publication.

No attention signals recorded yet.

The record

  • Reviewed by heuristic-v7 on Oct 20, 2026, 06:17 UTC. Paper type: clinical.
  • Categories: hematology
  • BRIEF, No.1 in the Medicine edition of October 20, 2026.