Nature GeneticsGenomicsPeer-reviewed journal article
New genetic signals for lung function highlight pathways and pleiotropy, and chronic obstructive pulmonary disease associations across multiple ancestries
Nick R. G. ShrineiD, Anna L. GuyattiD, Abdullah Mesut ErzurumluogluiD, Victoria E. JacksoniD, Brian D. HobbsiD, Carl MelbourneiD, Chiara BatiniiD, Katherine A. FawcettiD, Kijoung S Song, Phuwanat SakornsakolpatiD, Xingnan LiiD, Ruth BoxalliD, Nicola F. ReeveiD, Ma’en ObeidatiD, Jing Hua ZhaoiD, Matthias WielscheriD, Stefan WeißiD, Katherine A. KentistouiD, James P. CookiD, Benjamin B. SuniD, Jian ZhouiD, Jennie HuiiD, Stefan KarraschiD, Medea ImbodeniD, Sarah Elizabeth HarrisiD, , Andrew P. MorrisiD
Abstract
Reduced lung function predicts mortality and is key to the diagnosis of COPD. In a genome-wide association study in 400,102 individuals of European ancestry, we define 279 lung function signals, one-half of which are new. In combination these variants strongly predict COPD in deeply-phenotyped patient populations. Furthermore, the combined effect of these variants showed generalisability across smokers and never-smokers, and across ancestral groups. We highlight biological pathways, known and potential drug targets for COPD and, in phenome-wide association studies, autoimmune-related and other pleiotropic effects of lung function associated variants. This new genetic evidence has potential to improve future preventive and therapeutic strategies for COPD.
- organism: human
- assay: GWAS summary statistics
- research focus: GWAS / association mapping
- approach: statistical model
- Citations
- 539
- FWCI
- 10.24
- Field percentile
- top 1%
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