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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...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2020
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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. |
format | Online Article Text |
id | pubmed-7160128 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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