| Title: |
Cumulative Genetic Risk for Asthma Contributes to Disease Severity in Children with Asthma living in Urban Environments |
| Authors: |
Dapas, Matthew; Wentworth-Sheilds, William; Thompson, Emma E; Kumar, Rajesh; Lippner, Elizabeth; Wood, Robert A; O'Connor, George T; Khurana Hershey, Gurjit K; Gruchalla, Rebecca S; Liu, Andrew H; Zoratti, Edward M; Bacharier, Leonard B; Lovinsky-Desir, Stephanie; Gill, Michele A; Sheehan, William J; Patel, Shilpa J; Altman, Matthew C; Gern, James E; Visness, Cynthia M; Gergen, Peter J; Becker, Patrice M; Jackson, Daniel J; Ober, Carole |
| Source: |
GW Authored Works |
| Publisher Information: |
Health Sciences Research Commons |
| Publication Year: |
2025 |
| Collection: |
George Washington University: Health Sciences Research Commons (HSRC) |
| Description: |
BACKGROUND: Childhood-onset asthma is highly heritable, with nearly 200 risk loci identified in genome-wide association studies. Aggregated polygenic risk scores can be used to quantify genetic predisposition to asthma, but their power to predict asthma severity in multi-ancestral groups has not been determined. OBJECTIVE: Our aim was to examine the predictive power of biobank-derived asthma polygenic risk scores in children with asthma living in urban environments. METHODS: We generated polygenic risk scores for asthma, derived from a large-scale genome-wide association meta-analysis, in four multi-ancestry asthma study cohorts of children living in urban environments. We assessed genetic predictions across different subphenotypes of asthma and tested for associations between genetic asthma risk and measures of asthma severity. RESULTS: Genetic asthma prediction was significantly stronger for more symptomatic asthma phenotypes (P |
| Document Type: |
text |
| Language: |
unknown |
| Relation: |
https://hsrc.himmelfarb.gwu.edu/gwhpubs/7970; https://doi.org/10.1101/2025.09.08.25335346 |
| DOI: |
10.1101/2025.09.08.25335346 |
| Availability: |
https://hsrc.himmelfarb.gwu.edu/gwhpubs/7970; https://doi.org/10.1101/2025.09.08.25335346 |
| Accession Number: |
edsbas.D1D2FDD5 |
| Database: |
BASE |