학술논문
Nasal airway transcriptome-wide association study of asthma reveals genetically driven mucus pathobiology
Document Type
article
Author
Satria P. Sajuthi; Jamie L. Everman; Nathan D. Jackson; Benjamin Saef; Cydney L. Rios; Camille M. Moore; Angel C. Y. Mak; Celeste Eng; Ana Fairbanks-Mahnke; Sandra Salazar; Jennifer Elhawary; Scott Huntsman; Vivian Medina; Deborah A. Nickerson; Soren Germer; Michael C. Zody; Gonçalo Abecasis; Hyun Min Kang; Kenneth M. Rice; Rajesh Kumar; Noah A. Zaitlen; Sam Oh; NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium; José Rodríguez-Santana; Esteban G. Burchard; Max A. Seibold
Source
Nature Communications, Vol 13, Iss 1, Pp 1-17 (2022)
Subject
Language
English
ISSN
2041-1723
Abstract
Understanding regulation of genes associated to disease can reveal insights into disease mechanisms. Here, the authors perform an airway epithelial transcriptome-wide association analysis to elucidate genetic determinants of airway dysfunction in asthma, identifying genetic mechanisms of mucus pathobiology.