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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Published in:Nature communications Vol. 11; no. 1; p. 1776
Main Authors: 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
Format: Journal Article
Language:English
Published: London Nature Publishing Group UK 15-04-2020
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Summary: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. Asthma is a common disease of the airways for which numerous genetic loci have been identified. Here, Han et al. carry out a genome-wide analysis for asthma to identify additional loci, report sex-stratified and genetic risk score analyses, and functionally follow-up one locus using a murine model of airway hyperreactivity.
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ISSN:2041-1723
2041-1723
DOI:10.1038/s41467-020-15649-3