Nature Communications (Mar 2022)

Nasal airway transcriptome-wide association study of asthma reveals genetically driven mucus pathobiology

  • 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

DOI
https://doi.org/10.1038/s41467-022-28973-7
Journal volume & issue
Vol. 13, no. 1
pp. 1 – 17

Abstract

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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.