Deepika Polineni1,2, Hong Dang2, Paul J Gallins3, Lisa C Jones2, Rhonda G Pace2, Jaclyn R Stonebraker2, Leah A Commander2, Jeanne E Krenicky4, Yi-Hui Zhou3, Harriet Corvol5,6, Garry R Cutting7,8, Mitchell L Drumm4, Lisa J Strug9,10, Michael P Boyle11, Peter R Durie12,13,14, James F Chmiel4, Fei Zou15, Fred A Wright16,17, Wanda K O'Neal2, Michael R Knowles2. 1. 1 Department of Internal Medicine, University of Kansas Medical Center, Kansas City, Kansas. 2. 2 Cystic Fibrosis/Pulmonary Research and Treatment Center, Marsico Lung Institute, School of Medicine, and. 3. 3 Bioinformatics Research Center, Department of Biological Sciences. 4. 4 Department of Pediatrics, Rainbow Babies and Children's Hospital, Case Western Reserve University School of Medicine, Cleveland, Ohio. 5. 5 Pediatric Pulmonary Department, Assistance Publique-Hôpitaux de Paris (AP-HP), Hôpital Trousseau, Institut National de la Santé et la Recherche Médicale (INSERM) U938, Paris, France. 6. 6 Sorbonne Universités, Université Pierre et Marie Curie (UPMC), Paris 6, Paris, France. 7. 7 McKusick-Nathans Institute of Genetic Medicine. 8. 8 Department of Pediatrics, and. 9. 9 Program in Genetics and Genome Biology. 10. 10 Division of Biostatistics, Dalla Lana School of Public Health, and. 11. 11 Division of Pulmonary and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland. 12. 12 Physiology and Experimental Medicine Research Program, and. 13. 13 Division of Gastroenterology, Hepatology and Nutrition, The Hospital for Sick Children, Toronto, Ontario, Canada; and. 14. 14 Department of Pediatrics, University of Toronto, Toronto, Ontario, Canada. 15. 15 Department of Biostatistics, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina. 16. 16 Department of Statistics, and. 17. 17 Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina.
Abstract
RATIONALE: The severity of cystic fibrosis (CF) lung disease varies widely, even for Phe508del homozygotes. Heritability studies show that more than 50% of the variability reflects non-cystic fibrosis transmembrane conductance regulator (CFTR) genetic variation; however, the full extent of the pertinent genetic variation is not known. OBJECTIVES: We sought to identify novel CF disease-modifying mechanisms using an integrated approach based on analyzing "in vivo" CF airway epithelial gene expression complemented with genome-wide association study (GWAS) data. METHODS: Nasal mucosal RNA from 134 patients with CF was used for RNA sequencing. We tested for associations of transcriptomic (gene expression) data with a quantitative phenotype of CF lung disease severity. Pathway analysis of CF GWAS data (n = 5,659 patients) was performed to identify novel pathways and assess the concordance of genomic and transcriptomic data. Association of gene expression with previously identified CF GWAS risk alleles was also tested. MEASUREMENTS AND MAIN RESULTS: Significant evidence of heritable gene expression was identified. Gene expression pathways relevant to airway mucosal host defense were significantly associated with CF lung disease severity, including viral infection, inflammation/inflammatory signaling, lipid metabolism, apoptosis, ion transport, Phe508del CFTR processing, and innate immune responses, including HLA (human leukocyte antigen) genes. Ion transport and CFTR processing pathways, as well as HLA genes, were identified across differential gene expression and GWAS signals. CONCLUSIONS: Transcriptomic analyses of CF airway epithelia, coupled to genomic (GWAS) analyses, highlight the role of heritable host defense variation in determining the pathophysiology of CF lung disease. The identification of these pathways provides opportunities to pursue targeted interventions to improve CF lung health.
RATIONALE: The severity of cystic fibrosis (CF) lung disease varies widely, even for Phe508del homozygotes. Heritability studies show that more than 50% of the variability reflects non-cystic fibrosis transmembrane conductance regulator (CFTR) genetic variation; however, the full extent of the pertinent genetic variation is not known. OBJECTIVES: We sought to identify novel CF disease-modifying mechanisms using an integrated approach based on analyzing "in vivo" CF airway epithelial gene expression complemented with genome-wide association study (GWAS) data. METHODS: Nasal mucosal RNA from 134 patients with CF was used for RNA sequencing. We tested for associations of transcriptomic (gene expression) data with a quantitative phenotype of CF lung disease severity. Pathway analysis of CF GWAS data (n = 5,659 patients) was performed to identify novel pathways and assess the concordance of genomic and transcriptomic data. Association of gene expression with previously identified CF GWAS risk alleles was also tested. MEASUREMENTS AND MAIN RESULTS: Significant evidence of heritable gene expression was identified. Gene expression pathways relevant to airway mucosal host defense were significantly associated with CF lung disease severity, including viral infection, inflammation/inflammatory signaling, lipid metabolism, apoptosis, ion transport, Phe508delCFTR processing, and innate immune responses, including HLA (human leukocyte antigen) genes. Ion transport and CFTR processing pathways, as well as HLA genes, were identified across differential gene expression and GWAS signals. CONCLUSIONS: Transcriptomic analyses of CF airway epithelia, coupled to genomic (GWAS) analyses, highlight the role of heritable host defense variation in determining the pathophysiology of CF lung disease. The identification of these pathways provides opportunities to pursue targeted interventions to improve CF lung health.
Entities:
Keywords:
cystic fibrosis; epithelia; genome; genome-wide association study; transcriptome
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