Cumulative genetic risk for asthma contributes to disease severity in children with asthma

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Authors: Matthew Dapas, William Wentworth-Sheilds, Emma E. Thompson, Rajesh Kumar, Elizabeth Lippner, Robert A. Wood, George T. O’Connor, Gurjit K. Khurana Hershey, Rebecca S. Gruchalla, Andrew H. Liu, Edward M. Zoratti, Leonard B. Bacharier
+11 more Stephanie Lovinsky‐Desir, Michele A. Gill, William J. Sheehan, Shilpa J. Patel, Matthew C. Altman, James E. Gern, Cynthia M. Visness, Peter J. Gergen, Patrice M. Becker, Daniel J. Jackson, Carol Ober
Cited by: 1
References: 47

Abstract

Background: Childhood-onset asthma is highly heritable, with nearly 200 risk loci identified in genome-wide association studies. Aggregated polygenic risk scores (PRSs) can be used to quantify genetic predisposition to asthma, but their power to predict asthma severity in multiancestral groups has not been previously evaluated. Objective: Our aim was to examine the predictive power of biobank-derived asthma PRSs in 4 multiancestry asthma study cohorts of children living in US urban environments. Methods: We generated PRSs for asthma, derived from a large-scale genome-wide association meta-analysis, and assessed genetic predictions across different subphenotypes of asthma and tested for associations between genetic asthma risk and measures of asthma severity. Results: < .001). Conclusion: Cumulative genetic risk for asthma is associated with disease severity and exacerbation risk in children with asthma.

Fields of Study & Subjects

Asthma and respiratory diseases IL-33 ST2 and ILC Pathways Genetics and Physical Performance

Publication details

Journal / source
Journal of Allergy and Clinical Immunology Global
Publisher
Elsevier BV
Volume
5
Issue
4
Pages
100733–100733
Publication date
15 May 2026
Language
EN