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Abstract
Lung function reflects the ability of the respiratory system and is utilized for the assessment of respiratory diseases. Because type 2 airway inflammation influences lung function, genome wide association studies (GWAS) for lung function would be improved by adjustment with an indicator of the inflammation. Here, we performed a GWAS for lung function with adjustment for exhaled nitric oxide (FeNO) levels in two independent Japanese populations. Our GWAS with genotype imputations revealed that the RNF5/AGER locus including AGER rs2070600 SNP, which introduces a G82S substitution of AGER, was the most significantly associated with FEV1/FVC. Three other rare missense variants of AGER were further identified. We also found genetic loci with three candidate genes (NOS2, SPSB2 and RIPOR2) associated with FeNO levels. Analyses with the BioBank-Japan GWAS resource revealed genetic links of FeNO and asthma-related traits, and existence of common genetic background for allergic diseases and their biomarkers. Our study identified the genetic locus most strongly associated with airway obstruction in the Japanese population and three genetic loci associated with FeNO, an indicator of type 2 airway inflammation in adults.
Yamada, Motoike, Kojima et al. undertake a GWAS study on 19,722 participants from two Japanese populations for lung function with adjustment for fractional exhaled nitric oxide levels to account for airway inflammation. The authors identify variants of the RNF5/AGER locus and explore their three-dimensional protein interactions to better investigate the association between these variants and lung function.
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1 Tohoku University Graduate School of Medicine, Department of Respiratory Medicine, Sendai, Japan (GRID:grid.69566.3a) (ISNI:0000 0001 2248 6943)
2 Tohoku University, Department of Integrative Genomics, Tohoku Medical Megabank Organization, Sendai, Japan (GRID:grid.69566.3a) (ISNI:0000 0001 2248 6943)
3 Tohoku University, Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Sendai, Japan (GRID:grid.69566.3a) (ISNI:0000 0001 2248 6943)
4 Tohoku University, Department of Health Record Informatics, Tohoku Medical Megabank Organization, Sendai, Japan (GRID:grid.69566.3a) (ISNI:0000 0001 2248 6943)
5 Tohoku University, Department of Biobank, Tohoku Medical Megabank Organization, Sendai, Japan (GRID:grid.69566.3a) (ISNI:0000 0001 2248 6943)
6 Tohoku University, Department of Community Medical Supports, Tohoku Medical Megabank Organization, Sendai, Japan (GRID:grid.69566.3a) (ISNI:0000 0001 2248 6943)
7 Tohoku University, Department of Health Record Informatics, Tohoku Medical Megabank Organization, Sendai, Japan (GRID:grid.69566.3a) (ISNI:0000 0001 2248 6943); Tohoku University, Advanced Research Center for Innovations in Next-Generation Medicine, Sendai, Japan (GRID:grid.69566.3a) (ISNI:0000 0001 2248 6943)
8 Tohoku University, Department of Integrative Genomics, Tohoku Medical Megabank Organization, Sendai, Japan (GRID:grid.69566.3a) (ISNI:0000 0001 2248 6943); Tohoku University, Advanced Research Center for Innovations in Next-Generation Medicine, Sendai, Japan (GRID:grid.69566.3a) (ISNI:0000 0001 2248 6943); Tohoku University Graduate School of Information Sciences, Department of System Bioinformatics, Sendai, Japan (GRID:grid.69566.3a) (ISNI:0000 0001 2248 6943)
9 Osaki Citizen Hospital Academic Center, Osaki, Japan (GRID:grid.459827.5) (ISNI:0000 0004 0641 2751)
10 Tohoku University, Department of Integrative Genomics, Tohoku Medical Megabank Organization, Sendai, Japan (GRID:grid.69566.3a) (ISNI:0000 0001 2248 6943); Tohoku University Graduate School of Medicine, Department of Medical Biochemistry, Sendai, Japan (GRID:grid.69566.3a) (ISNI:0000 0001 2248 6943)