학술논문
Nasal airway transcriptome-wide association study of asthma reveals genetically driven mucus pathobiology
Document Type
article
Author
Sajuthi, Satria P; Everman, Jamie L; Jackson, Nathan D; Saef, Benjamin; Rios, Cydney L; Moore, Camille M; Mak, Angel CY; Eng, Celeste; Fairbanks-Mahnke, Ana; Salazar, Sandra; Elhawary, Jennifer; Huntsman, Scott; Medina, Vivian; Nickerson, Deborah A; Germer, Soren; Zody, Michael C; Abecasis, Gonçalo; Kang, Hyun Min; Rice, Kenneth M; Kumar, Rajesh; Zaitlen, Noah A; Oh, Sam; Rodríguez-Santana, José; Burchard, Esteban G; Seibold, Max A
Source
Nature Communications. 13(1)
Subject
Language
Abstract
To identify genetic determinants of airway dysfunction, we performed a transcriptome-wide association study for asthma by combining RNA-seq data from the nasal airway epithelium of 681 children, with UK Biobank genetic association data. Our airway analysis identified 95 asthma genes, 58 of which were not identified by transcriptome-wide association analyses using other asthma-relevant tissues. Among these genes were MUC5AC, an airway mucin, and FOXA3, a transcriptional driver of mucus metaplasia. Muco-ciliary epithelial cultures from genotyped donors revealed that the MUC5AC risk variant increases MUC5AC protein secretion and mucus secretory cell frequency. Airway transcriptome-wide association analyses for mucus production and chronic cough also identified MUC5AC. These cis-expression variants were associated with trans effects on expression; the MUC5AC variant was associated with upregulation of non-inflammatory mucus secretory network genes, while the FOXA3 variant was associated with upregulation of type-2 inflammation-induced mucus-metaplasia pathway genes. Our results reveal genetic mechanisms of airway mucus pathobiology.