ArticlemedRxiv : the preprint server for health sciences2024
Multi-ancestry genome-wide association study reveals novel genetic signals for lung function decline.
Article in medRxiv : the preprint server for health sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
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36 authors.
Funding
Abstract
Rationale: Accelerated decline in lung function contributes to the development of chronic respiratory disease. Despite evidence for a genetic component, few genetic associations with lung function decline have been identified. Objectives: To evaluate genome-wide associations and putative downstream functionality of genetic variants with lung function decline in diverse general population cohorts. Methods: We conducted genome-wide association study (GWAS) analyses of decline in the forced expiratory volume in the first second (FEV Measurements and Main Results: Our discovery analyses included 52,056 self-reported White (N=44,988), Black (N=5,788), Hispanic (N=550), and Chinese American (N=730) participants with a mean of 2.3 spirometry measurements and 8.6 years of follow-up. Functional mapping of GWAS meta-analysis results identified 361 distinct genome-wide significant (p<5E-08) variants in one or more of the FEV Conclusions: Our multi-ancestry GWAS meta-analyses identified numerous genetic loci associated with lung function decline. These findings contribute knowledge to the genetic architecture of lung function decline, provide evidence for a role of endogenous corticosteroids in the etiology of lung function decline, and identify drug targets that merit further study for potential repurposing to slow lung function decline and treat lung disease.
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