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Nasal airway transcriptome-wide association study of asthma reveals genetically driven mucus pathobiology

To identify genetic determinants of airway dysfunction, we performed a transcriptome-wide association study for asthma by combining RNA-seq data from the nasal airway epithelium of 681 children, with UK Biobank genetic association data. Our airway analysis identified 102 asthma genes, 58 of which we...

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Autores principales: Sajuthi, Satria P., Everman, Jamie L., Jackson, Nathan D., Saef, Benjamin, Rios, Cydney L., Moore, Camille M., Mak, Angel C. Y., Eng, Celeste, Fairbanks-Mahnke, Ana, Salazar, Sandra, Elhawary, Jennifer, Huntsman, Scott, Medina, Vivian, Nickerson, Deborah A., Germer, Soren, Zody, Michael C., Abecasis, Gonçalo, Kang, Hyun Min, Rice, Kenneth M., Kumar, Rajesh, Zaitlen, Noah A., Oh, Sam, Rodríguez-Santana, José, Burchard, Esteban G., Seibold, Max A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8960819/
https://www.ncbi.nlm.nih.gov/pubmed/35347136
http://dx.doi.org/10.1038/s41467-022-28973-7
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author Sajuthi, Satria P.
Everman, Jamie L.
Jackson, Nathan D.
Saef, Benjamin
Rios, Cydney L.
Moore, Camille M.
Mak, Angel C. Y.
Eng, Celeste
Fairbanks-Mahnke, Ana
Salazar, Sandra
Elhawary, Jennifer
Huntsman, Scott
Medina, Vivian
Nickerson, Deborah A.
Germer, Soren
Zody, Michael C.
Abecasis, Gonçalo
Kang, Hyun Min
Rice, Kenneth M.
Kumar, Rajesh
Zaitlen, Noah A.
Oh, Sam
Rodríguez-Santana, José
Burchard, Esteban G.
Seibold, Max A.
author_facet Sajuthi, Satria P.
Everman, Jamie L.
Jackson, Nathan D.
Saef, Benjamin
Rios, Cydney L.
Moore, Camille M.
Mak, Angel C. Y.
Eng, Celeste
Fairbanks-Mahnke, Ana
Salazar, Sandra
Elhawary, Jennifer
Huntsman, Scott
Medina, Vivian
Nickerson, Deborah A.
Germer, Soren
Zody, Michael C.
Abecasis, Gonçalo
Kang, Hyun Min
Rice, Kenneth M.
Kumar, Rajesh
Zaitlen, Noah A.
Oh, Sam
Rodríguez-Santana, José
Burchard, Esteban G.
Seibold, Max A.
author_sort Sajuthi, Satria P.
collection PubMed
description To identify genetic determinants of airway dysfunction, we performed a transcriptome-wide association study for asthma by combining RNA-seq data from the nasal airway epithelium of 681 children, with UK Biobank genetic association data. Our airway analysis identified 102 asthma genes, 58 of which were not identified by transcriptome-wide association analyses using other asthma-relevant tissues. Among these genes were MUC5AC, an airway mucin, and FOXA3, a transcriptional driver of mucus metaplasia. Muco-ciliary epithelial cultures from genotyped donors revealed that the MUC5AC risk variant increases MUC5AC protein secretion and mucus secretory cell frequency. Airway transcriptome-wide association analyses for mucus production and chronic cough also identified MUC5AC. These cis-expression variants were associated with trans effects on expression; the MUC5AC variant was associated with upregulation of non-inflammatory mucus secretory network genes, while the FOXA3 variant was associated with upregulation of type-2 inflammation-induced mucus-metaplasia pathway genes. Our results reveal genetic mechanisms of airway mucus pathobiology.
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spelling pubmed-89608192022-04-20 Nasal airway transcriptome-wide association study of asthma reveals genetically driven mucus pathobiology Sajuthi, Satria P. Everman, Jamie L. Jackson, Nathan D. Saef, Benjamin Rios, Cydney L. Moore, Camille M. Mak, Angel C. Y. Eng, Celeste Fairbanks-Mahnke, Ana Salazar, Sandra Elhawary, Jennifer Huntsman, Scott Medina, Vivian Nickerson, Deborah A. Germer, Soren Zody, Michael C. Abecasis, Gonçalo Kang, Hyun Min Rice, Kenneth M. Kumar, Rajesh Zaitlen, Noah A. Oh, Sam Rodríguez-Santana, José Burchard, Esteban G. Seibold, Max A. Nat Commun Article To identify genetic determinants of airway dysfunction, we performed a transcriptome-wide association study for asthma by combining RNA-seq data from the nasal airway epithelium of 681 children, with UK Biobank genetic association data. Our airway analysis identified 102 asthma genes, 58 of which were not identified by transcriptome-wide association analyses using other asthma-relevant tissues. Among these genes were MUC5AC, an airway mucin, and FOXA3, a transcriptional driver of mucus metaplasia. Muco-ciliary epithelial cultures from genotyped donors revealed that the MUC5AC risk variant increases MUC5AC protein secretion and mucus secretory cell frequency. Airway transcriptome-wide association analyses for mucus production and chronic cough also identified MUC5AC. These cis-expression variants were associated with trans effects on expression; the MUC5AC variant was associated with upregulation of non-inflammatory mucus secretory network genes, while the FOXA3 variant was associated with upregulation of type-2 inflammation-induced mucus-metaplasia pathway genes. Our results reveal genetic mechanisms of airway mucus pathobiology. Nature Publishing Group UK 2022-03-28 /pmc/articles/PMC8960819/ /pubmed/35347136 http://dx.doi.org/10.1038/s41467-022-28973-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Sajuthi, Satria P.
Everman, Jamie L.
Jackson, Nathan D.
Saef, Benjamin
Rios, Cydney L.
Moore, Camille M.
Mak, Angel C. Y.
Eng, Celeste
Fairbanks-Mahnke, Ana
Salazar, Sandra
Elhawary, Jennifer
Huntsman, Scott
Medina, Vivian
Nickerson, Deborah A.
Germer, Soren
Zody, Michael C.
Abecasis, Gonçalo
Kang, Hyun Min
Rice, Kenneth M.
Kumar, Rajesh
Zaitlen, Noah A.
Oh, Sam
Rodríguez-Santana, José
Burchard, Esteban G.
Seibold, Max A.
Nasal airway transcriptome-wide association study of asthma reveals genetically driven mucus pathobiology
title Nasal airway transcriptome-wide association study of asthma reveals genetically driven mucus pathobiology
title_full Nasal airway transcriptome-wide association study of asthma reveals genetically driven mucus pathobiology
title_fullStr Nasal airway transcriptome-wide association study of asthma reveals genetically driven mucus pathobiology
title_full_unstemmed Nasal airway transcriptome-wide association study of asthma reveals genetically driven mucus pathobiology
title_short Nasal airway transcriptome-wide association study of asthma reveals genetically driven mucus pathobiology
title_sort nasal airway transcriptome-wide association study of asthma reveals genetically driven mucus pathobiology
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8960819/
https://www.ncbi.nlm.nih.gov/pubmed/35347136
http://dx.doi.org/10.1038/s41467-022-28973-7
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