Genetic insights into lung function inform better management of respiratory diseases.
meta_analysis · Level I
Where this comes from
- Record sourced from PubMed, PMID 37196630.
- Also identified by DOI 10.1016/j.xcrm.2023.101041 and PMC identifier 10213829.
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Abstract
Shrine et al.<sup>1</sup> 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.
Medical subject headings
- Genetic Predisposition to Disease
- Respiratory Tract Diseases