Identifying Shared Risk Genes for Asthma, Hay Fever, and Eczema by Multi-Trait and Multiomic Association Analyses
Asthma, hay fever and eczema are three comorbid diseases with high prevalence and heritability. Their common genetic architectures have not been well-elucidated. In this study, we first conducted a linkage disequilibrium score regression analysis to confirm the strong genetic correlations between as...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2020-04-01
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| Series: | Frontiers in Genetics |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/article/10.3389/fgene.2020.00270/full |
| _version_ | 1823995440667820032 |
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| author | Hongping Guo Hongping Guo Jiyuan An Zuguo Yu Zuguo Yu |
| author_facet | Hongping Guo Hongping Guo Jiyuan An Zuguo Yu Zuguo Yu |
| author_sort | Hongping Guo |
| collection | DOAJ |
| description | Asthma, hay fever and eczema are three comorbid diseases with high prevalence and heritability. Their common genetic architectures have not been well-elucidated. In this study, we first conducted a linkage disequilibrium score regression analysis to confirm the strong genetic correlations between asthma, hay fever and eczema. We then integrated three distinct association analyses (metaCCA multi-trait association analysis, MAGMA genome-wide and MetaXcan transcriptome-wide gene-based tests) to identify shared risk genes based on the large-scale GWAS results in the GeneATLAS database. MetaCCA can detect pleiotropic genes associated with these three diseases jointly. MAGMA and MetaXcan were performed separately to identify candidate risk genes for each of the three diseases. We finally identified 150 shared risk genes, in which 60 genes are novel. Functional enrichment analysis revealed that the shared risk genes are enriched in inflammatory bowel disease, T cells differentiation and other related biological pathways. Our work may provide help on treatment of asthma, hay fever and eczema in clinical applications. |
| first_indexed | 2024-12-18T16:48:20Z |
| format | Article |
| id | doaj.art-eeb6c87837f5471c8cab1256ee6df19e |
| institution | Directory Open Access Journal |
| issn | 1664-8021 |
| language | English |
| last_indexed | 2024-12-18T16:48:20Z |
| publishDate | 2020-04-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Genetics |
| spelling | doaj.art-eeb6c87837f5471c8cab1256ee6df19e2022-12-21T21:00:57ZengFrontiers Media S.A.Frontiers in Genetics1664-80212020-04-011110.3389/fgene.2020.00270521679Identifying Shared Risk Genes for Asthma, Hay Fever, and Eczema by Multi-Trait and Multiomic Association AnalysesHongping Guo0Hongping Guo1Jiyuan An2Zuguo Yu3Zuguo Yu4Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education and Hunan Key Laboratory for Computation and Simulation in Science and Engineering, Xiangtan University, Hunan, ChinaSchool of Mathematics and Computer Science, Hanjiang Normal University, Hubei, ChinaCentre for Tropical Crops and Biocommodities, Queensland University of Technology, Brisbane, QLD, AustraliaKey Laboratory of Intelligent Computing and Information Processing of Ministry of Education and Hunan Key Laboratory for Computation and Simulation in Science and Engineering, Xiangtan University, Hunan, ChinaSchool of Electrical Engineering and Computer Science, Queensland University of Technology, Brisbane, QLD, AustraliaAsthma, hay fever and eczema are three comorbid diseases with high prevalence and heritability. Their common genetic architectures have not been well-elucidated. In this study, we first conducted a linkage disequilibrium score regression analysis to confirm the strong genetic correlations between asthma, hay fever and eczema. We then integrated three distinct association analyses (metaCCA multi-trait association analysis, MAGMA genome-wide and MetaXcan transcriptome-wide gene-based tests) to identify shared risk genes based on the large-scale GWAS results in the GeneATLAS database. MetaCCA can detect pleiotropic genes associated with these three diseases jointly. MAGMA and MetaXcan were performed separately to identify candidate risk genes for each of the three diseases. We finally identified 150 shared risk genes, in which 60 genes are novel. Functional enrichment analysis revealed that the shared risk genes are enriched in inflammatory bowel disease, T cells differentiation and other related biological pathways. Our work may provide help on treatment of asthma, hay fever and eczema in clinical applications.https://www.frontiersin.org/article/10.3389/fgene.2020.00270/fullasthmahay fevereczemaassociation studiesshared genesmulti-trait |
| spellingShingle | Hongping Guo Hongping Guo Jiyuan An Zuguo Yu Zuguo Yu Identifying Shared Risk Genes for Asthma, Hay Fever, and Eczema by Multi-Trait and Multiomic Association Analyses Frontiers in Genetics asthma hay fever eczema association studies shared genes multi-trait |
| title | Identifying Shared Risk Genes for Asthma, Hay Fever, and Eczema by Multi-Trait and Multiomic Association Analyses |
| title_full | Identifying Shared Risk Genes for Asthma, Hay Fever, and Eczema by Multi-Trait and Multiomic Association Analyses |
| title_fullStr | Identifying Shared Risk Genes for Asthma, Hay Fever, and Eczema by Multi-Trait and Multiomic Association Analyses |
| title_full_unstemmed | Identifying Shared Risk Genes for Asthma, Hay Fever, and Eczema by Multi-Trait and Multiomic Association Analyses |
| title_short | Identifying Shared Risk Genes for Asthma, Hay Fever, and Eczema by Multi-Trait and Multiomic Association Analyses |
| title_sort | identifying shared risk genes for asthma hay fever and eczema by multi trait and multiomic association analyses |
| topic | asthma hay fever eczema association studies shared genes multi-trait |
| url | https://www.frontiersin.org/article/10.3389/fgene.2020.00270/full |
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