AI Insight
This study investigated the genetic architecture of the chromosome 1q31 region, previously linked to asthma, across African and European ancestry populations using large datasets totaling nearly 170,000 individuals. The association signal in this region was found to be specific to steroid-dependent asthma rather than asthma broadly, with thousands of genome-wide significant variants identified in both ancestry groups. Cross-ancestry comparison revealed mostly population-specific variants, though the ten shared variants showed consistent directional effects, and functional analysis suggested ancestry-specific biological pathways including immune and airway-wall biology in African ancestry and additional neuroaxonal components in European ancestry.
Why it matters
These findings suggest that genetic risk for steroid-dependent asthma is partly population-specific, which has direct implications for developing more accurate and equitable genomic tools to predict steroid responsiveness and guide asthma treatment decisions across diverse patient populations.
⚠️ Preprint – Noch nicht peer-reviewed
Dieser Artikel wurde noch nicht von unabhängigen Experten begutachtet. Die Ergebnisse sind vorläufig und sollten mit Vorsicht interpretiert werden.
Background: The chromosome 1q31 Th2 pathway-associated interval has been linked to asthma, but its phenotype specificity and cross-ancestry architecture remain unclear. Methods: We analyzed African (AFR) and European (EU) ancestry datasets, including 9,965 asthma cases and 37,391 controls of AFR, and 6,074 cases and 116,255 controls of EU ancestry. Imputed dosage-based association analyses were performed for asthma, steroid-dependent asthma (SDA), and non-steroid-dependent asthma, followed by QC-filtered SDA remapping, leave-one-batch-out analysis, cross-ancestry comparison, and functional enrichment. Results: Strong regional association was observed only for SDA. After quality-control (QC) filtering, the SDA signal remained significant in both ancestries, with 2,280 genome-wide significant variants in AFR and 859 in EU. Cross-ancestry comparison identified 3,129 significant variants: 10 shared, 2,270 AFR-specific, and 849 EU-specific. Shared variants showed concordant effects, whereas 237 variants showed nominal heterogeneity. AFR-specific signals included PTPRC variants with larger effects in AFR. Functional enrichment suggested different biological emphases within the same interval: immune and contractile airway-wall biology in AFR, and additional neuroaxonal components in EU. Conclusions: The 1q31 interval is strongly associated with SDA in both AFR and EU populations, and its fine-scale architecture differs by ancestry. These findings highlight population-specific effects within a shared SDA susceptibility interval, with potential implications for population-informed precision medicine in steroid responsiveness and asthma management.