Genetic insights into lung function inform better management of respiratory diseases

Cell Rep Med. 2023 May 16;4(5):101041. doi: 10.1016/j.xcrm.2023.101041.

Abstract

Shrine et al.1 conducted the largest multi-ancestry genome-wide meta-analysis of lung function and identified 1,020 signals associated with lung function. These provide novel insights into the genetic underpins of lung function and may inform better clinical management of respiratory disorders.

Publication types

  • Meta-Analysis
  • Comment

MeSH terms

  • Genetic Predisposition to Disease*
  • Genome-Wide Association Study
  • Humans
  • Lung
  • Respiratory Tract Diseases* / genetics
  • Respiratory Tract Diseases* / therapy