Genome wide association study of Preserved Ratio Impaired Spirometry (PRISm)

Daniel H. Higbee (Lead Author), Alvin Lirio, Fergus Hamilton, Raquel Granell, Annah B Wyss, Stephanie J London, Traci M Bartz, Sina A Gharib, Michael H Cho, Emily Wan, Edwin Silverman, James D Crapo, Jesus Lominchar, Torben Hansen, Niels Grarup, Thomas Dantoft, Line Kårhus, Allan Linneberg, George T O'Connor, Josée DupuisHanfie Xu, Maaike M De Vries, Xiaowei Hu, Stephen S Rich, R Graham Barr, Ani Manichaikul, Sarah R A Wijnant, Guy G Brusselle, Lies Lahouse, Xuan Li, Ana I Hernández Cordero, Ma’en Obeidat, Don D Sin, Sarah Harris, Paul Redmond, Adele Taylor, Simon R Cox, Alexander T Williams, Nick Shrine, Catherine John, Anna L Guyatt, Ian P Hall, George Davey Smith, Martin D Tobin, James W Dodd*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

Background: Preserved Ratio Impaired Spirometry (PRISm) is defined as FEV1 <80% predicted, FEV1/FVC ≥0.70. PRISm is associated with respiratory symptoms and co-morbidities. Our objective was to discover novel genetic signals for PRISm and see if they provide insight into the pathogenesis of PRISm and associated co-morbidities.
Methods: We undertook a genome-wide association study (GWAS) of PRISm in UK Biobank participants (Stage 1), and selected SNPs reaching genome-wide significance for replication in 13 cohorts (Stage 2). A combined meta-analysis of Stage 1 and Stage 2 was done to determine top SNPs. We used cross-trait Linkage Disequilibrium score regression to estimate genome-wide genetic correlation between PRISM and pulmonary and extra-pulmonary traits. Phenome-wide association studies of top SNPs was performed.
Results: 22 signals reached significance in the joint meta-analysis, including four signals novel for lung function. A strong genome-wide genetic correlation (rg) between PRISm and spirometric COPD (rg = 0.62, p-value <0.001) was observed, and genetic correlation with type II diabetes (rg = 0.12, p-value 0.007). PheWAS showed that 18 of 22 signals were associated with diabetic traits and 7 with blood pressure traits.
Discussion: This is the first GWAS to successfully identify SNPs associated with PRISm. Four of the signals; rs7652391 (nearest gene MECOM), rs9431040 (HLX), rs62018863 (TMEM114) and rs185937162 (HLA-B) have not been described in association with lung function before, demonstrating the utility of using different lung function phenotypes in GWAS. Genetic factors associated with PRISm are strongly correlated with risk of both other lung diseases and extra-pulmonary co-morbidity.
Original languageEnglish
Article number2300337
Number of pages12
JournalEuropean Respiratory Journal
Volume63
Early online date14 Dec 2023
DOIs
Publication statusPublished - Jan 2024

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