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Genome-wide analysis highlights contribution of immune system pathways to the genetic architecture of asthma

Asthma is a chronic and genetically complex respiratory disease that affects over 300 million people worldwide. Here, we report a genome-wide analysis for asthma using data from the UK Biobank and the Trans-National Asthma Genetic Consortium. We identify 66 previously unknown asthma loci and demonst...

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Autores principales: Han, Yi, Jia, Qiong, Jahani, Pedram Shafiei, Hurrell, Benjamin P., Pan, Calvin, Huang, Pin, Gukasyan, Janet, Woodward, Nicholas C., Eskin, Eleazar, Gilliland, Frank D., Akbari, Omid, Hartiala, Jaana A., Allayee, Hooman
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7160128/
https://www.ncbi.nlm.nih.gov/pubmed/32296059
http://dx.doi.org/10.1038/s41467-020-15649-3
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author Han, Yi
Jia, Qiong
Jahani, Pedram Shafiei
Hurrell, Benjamin P.
Pan, Calvin
Huang, Pin
Gukasyan, Janet
Woodward, Nicholas C.
Eskin, Eleazar
Gilliland, Frank D.
Akbari, Omid
Hartiala, Jaana A.
Allayee, Hooman
author_facet Han, Yi
Jia, Qiong
Jahani, Pedram Shafiei
Hurrell, Benjamin P.
Pan, Calvin
Huang, Pin
Gukasyan, Janet
Woodward, Nicholas C.
Eskin, Eleazar
Gilliland, Frank D.
Akbari, Omid
Hartiala, Jaana A.
Allayee, Hooman
author_sort Han, Yi
collection PubMed
description Asthma is a chronic and genetically complex respiratory disease that affects over 300 million people worldwide. Here, we report a genome-wide analysis for asthma using data from the UK Biobank and the Trans-National Asthma Genetic Consortium. We identify 66 previously unknown asthma loci and demonstrate that the susceptibility alleles in these regions are, either individually or as a function of cumulative genetic burden, associated with risk to a greater extent in men than women. Bioinformatics analyses prioritize candidate causal genes at 52 loci, including CD52, and demonstrate that asthma-associated variants are enriched in regions of open chromatin in immune cells. Lastly, we show that a murine anti-CD52 antibody mimics the immune cell-depleting effects of a clinically used human anti-CD52 antibody and reduces allergen-induced airway hyperreactivity in mice. These results further elucidate the genetic architecture of asthma and provide important insight into the immunological and sex-specific relevance of asthma-associated risk variants.
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spelling pubmed-71601282020-04-22 Genome-wide analysis highlights contribution of immune system pathways to the genetic architecture of asthma Han, Yi Jia, Qiong Jahani, Pedram Shafiei Hurrell, Benjamin P. Pan, Calvin Huang, Pin Gukasyan, Janet Woodward, Nicholas C. Eskin, Eleazar Gilliland, Frank D. Akbari, Omid Hartiala, Jaana A. Allayee, Hooman Nat Commun Article Asthma is a chronic and genetically complex respiratory disease that affects over 300 million people worldwide. Here, we report a genome-wide analysis for asthma using data from the UK Biobank and the Trans-National Asthma Genetic Consortium. We identify 66 previously unknown asthma loci and demonstrate that the susceptibility alleles in these regions are, either individually or as a function of cumulative genetic burden, associated with risk to a greater extent in men than women. Bioinformatics analyses prioritize candidate causal genes at 52 loci, including CD52, and demonstrate that asthma-associated variants are enriched in regions of open chromatin in immune cells. Lastly, we show that a murine anti-CD52 antibody mimics the immune cell-depleting effects of a clinically used human anti-CD52 antibody and reduces allergen-induced airway hyperreactivity in mice. These results further elucidate the genetic architecture of asthma and provide important insight into the immunological and sex-specific relevance of asthma-associated risk variants. Nature Publishing Group UK 2020-04-15 /pmc/articles/PMC7160128/ /pubmed/32296059 http://dx.doi.org/10.1038/s41467-020-15649-3 Text en © The Author(s) 2020 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/.
spellingShingle Article
Han, Yi
Jia, Qiong
Jahani, Pedram Shafiei
Hurrell, Benjamin P.
Pan, Calvin
Huang, Pin
Gukasyan, Janet
Woodward, Nicholas C.
Eskin, Eleazar
Gilliland, Frank D.
Akbari, Omid
Hartiala, Jaana A.
Allayee, Hooman
Genome-wide analysis highlights contribution of immune system pathways to the genetic architecture of asthma
title Genome-wide analysis highlights contribution of immune system pathways to the genetic architecture of asthma
title_full Genome-wide analysis highlights contribution of immune system pathways to the genetic architecture of asthma
title_fullStr Genome-wide analysis highlights contribution of immune system pathways to the genetic architecture of asthma
title_full_unstemmed Genome-wide analysis highlights contribution of immune system pathways to the genetic architecture of asthma
title_short Genome-wide analysis highlights contribution of immune system pathways to the genetic architecture of asthma
title_sort genome-wide analysis highlights contribution of immune system pathways to the genetic architecture of asthma
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7160128/
https://www.ncbi.nlm.nih.gov/pubmed/32296059
http://dx.doi.org/10.1038/s41467-020-15649-3
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