eLife (Mar 2021)

Genetic association and causal inference converge on hyperglycaemia as a modifiable factor to improve lung function

  • William R Reay,
  • Sahar I El Shair,
  • Michael P Geaghan,
  • Carlos Riveros,
  • Elizabeth G Holliday,
  • Mark A McEvoy,
  • Stephen Hancock,
  • Roseanne Peel,
  • Rodney J Scott,
  • John R Attia,
  • Murray J Cairns

DOI
https://doi.org/10.7554/eLife.63115
Journal volume & issue
Vol. 10

Abstract

Read online

Measures of lung function are heritable, and thus, we sought to utilise genetics to propose drug-repurposing candidates that could improve respiratory outcomes. Lung function measures were found to be genetically correlated with seven druggable biochemical traits, with further evidence of a causal relationship between increased fasting glucose and diminished lung function. Moreover, we developed polygenic scores for lung function specifically within pathways with known drug targets and investigated their relationship with pulmonary phenotypes and gene expression in independent cohorts to prioritise individuals who may benefit from particular drug-repurposing opportunities. A transcriptome-wide association study (TWAS) of lung function was then performed which identified several drug–gene interactions with predicted lung function increasing modes of action. Drugs that regulate blood glucose were uncovered through both polygenic scoring and TWAS methodologies. In summary, we provided genetic justification for a number of novel drug-repurposing opportunities that could improve lung function.

Keywords