# Machine learning–derived genetic risk scores identify IL21 as a predictor of response to omalizumab and dupilumab in asthma

**Authors:** Ayobami Akenroye, Chengyue Zhang, Tanawin Nopsopon, Sean Kalra, Scott T. Weiss, Matthew R. Moll

PMC · DOI: 10.3389/falgy.2025.1670783 · Frontiers in Allergy · 2025-10-01

## TL;DR

This study shows that genetic risk scores related to IL21 can predict how well asthma patients respond to omalizumab and dupilumab treatments.

## Contribution

The study introduces IL21 as a novel genetic predictor of response to specific asthma biologics using machine learning-derived genetic risk scores.

## Key findings

- IL21 genetic risk scores predicted response to omalizumab in two independent asthma cohorts.
- IL21 also predicted response to dupilumab, though with opposite directions in the two cohorts.
- Adding IL5RA or CCL17 to models did not significantly improve prediction accuracy.

## Abstract

Genetic risk scores (GRS) of Th1/2/17-related loci may be associated with response to biologics. We leveraged previously published machine learning-derived GRSs associated with plasma proteins from the INTERVAL/UK-Biobank study.

We assessed 42 Th1/2/17-related GRSs and SNPs for association with response (≥50% reduction in exacerbations) to biologics in 172 White patients with moderate-to-severe asthma in the Mass General Brigham Biobank (MGBB: 92 omalizumab, 38 mepolizumab, 42 dupilumab). Replication was sought in 243 individuals in the All of Us (AoU) cohort (111 omalizumab, 58 mepolizumab, 74 dupilumab). Models adjusted for age, sex, BMI, baseline exacerbations, and principal components 1–10. AUROC was used to evaluate top predictors; type I error was assessed using random GRS sets (target FDR ≤20%).

Females comprised a large proportion; mean BMI was 28–35 kg/m2. IL21 GRS was associated with omalizumab response in MGBB (OR: 1.7, 95% CI: 1.03–2.87) with similar direction in AoU (1.5, 0.91–2.45). IL21 also predicted dupilumab response in MGBB (2.4, 1.05–5.44) but in the opposite direction in AoU (0.57, 0.31–1.06). IL21 replicated as a predictor of omalizumab [AUROC, 95% CI: MGBB 0.62 (0.50–0.74), AoU: 0.71 (0.61–0.81)] and dupilumab [AUROC, 95% CI, MGBB 0.76 (0.58–0.95), AoU: 0.75 (0.64–0.86)]. Adding IL5RA (omalizumab) or CCL17 (dupilumab) modestly improved AUROC but not significantly. No GRS predicted mepolizumab response.

Using ML-based GRS applied to an independent cohort of asthma patients, we found that IL-21-related GRSs were predictors of response to omalizumab and dupilumab.

## Linked entities

- **Genes:** IL21 (interleukin 21) [NCBI Gene 59067], IL5RA (interleukin 5 receptor subunit alpha) [NCBI Gene 3568], CCL17 (C-C motif chemokine ligand 17) [NCBI Gene 6361]
- **Diseases:** asthma (MONDO:0004979)

## Full-text entities

- **Genes:** IL21 (interleukin 21) [NCBI Gene 59067] {aka CVID11, IL-21, Za11}, IL5RA (interleukin 5 receptor subunit alpha) [NCBI Gene 3568] {aka CD125, CDw125, HSIL5R3, IL5R}, CCL17 (C-C motif chemokine ligand 17) [NCBI Gene 6361] {aka A-152E5.3, ABCD-2, SCYA17, TARC}
- **Diseases:** asthma (MESH:D001249)
- **Chemicals:** omalizumab (MESH:D000069444), dupilumab (MESH:C582203), mepolizumab (MESH:C434107)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/PMC12521206/full.md

## Figures

1 figure with captions in the complete paper: https://tomesphere.com/paper/PMC12521206/full.md

## References

10 references — full list in the complete paper: https://tomesphere.com/paper/PMC12521206/full.md

---
Source: https://tomesphere.com/paper/PMC12521206