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dc.contributor.author최성경-
dc.date.accessioned2024-05-20T23:21:05Z-
dc.date.available2024-05-20T23:21:05Z-
dc.date.issued2023-07-31-
dc.identifier.citationINTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, v. 24, NO 15, Page. 1-21en_US
dc.identifier.issn1661-6596en_US
dc.identifier.urihttps://information.hanyang.ac.kr/#/eds/detail?an=169926746&dbId=a9hen_US
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/190318-
dc.description.abstractAsthma is a complex heterogeneous disease caused by gene-environment interactions. Although numerous genome-wide association studies have been conducted, these interactions have not been systemically investigated. We sought to identify genetic factors associated with the asthma phenotype in 66,857 subjects from the Health Examination Study, Cardiovascular Disease Association Study, and Korea Association Resource Study cohorts. We investigated asthma-associated gene-environment (smoking status) interactions at the level of single nucleotide polymorphisms, genes, and gene sets. We identified two potentially novel (SETDB1 and ZNF8) and five previously reported (DM4C, DOCK8, MMP20, MYL7, and ADCY9) genes associated with increased asthma risk. Numerous gene ontology processes, including regulation of T cell differentiation in the thymus (GO:0033081), were significantly enriched for asthma risk. Functional annotation analysis confirmed the causal relationship between five genes (two potentially novel and three previously reported genes) and asthma through genome-wide functional prediction scores (combined annotation-dependent depletion, deleterious annotation of genetic variants using neural networks, and RegulomeDB). Our findings elucidate the genetic architecture of asthma and improve the understanding of its biological mechanisms. However, further studies are necessary for developing preventive treatments based on environmental factors and understanding the immune system mechanisms that contribute to the etiology of asthma.en_US
dc.description.sponsorshipThis work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIT) (No. 2018R1C1B6008277 and 2022R1F1A1072274); the Institute of Information & communications Technology Planning & Evaluation (IITP) grant funded by the Korean government (MSIT) (No. RS-2022-00155885, Artificial Intelligence Convergence Innovation Human Resources Development [Hanyang University ERICA]); the Bio & Medical Technology Development Program of the National Research Foundation (NRF) funded by the Korean government(MSIT) (No. 2019M3E5D3073365); and the National Biobank of Korea, the Korea Disease Control and Prevention Agency, Republic of Korea (No. NBK-2020-106).en_US
dc.languageen_USen_US
dc.publisherMDPIen_US
dc.relation.ispartofseriesv. 24, NO 15;1-21-
dc.subjectasthmaen_US
dc.subjectgene–environment interactionsen_US
dc.subjectKorean Genome and Epidemiology Studyen_US
dc.subjectgenome-wide association studyen_US
dc.subjectsmoking statusen_US
dc.titleGene-Smoking Interaction Analysis for the Identification of Novel Asthma-Associated Genetic Factorsen_US
dc.typeArticleen_US
dc.relation.no15-
dc.relation.volume24-
dc.identifier.doi10.3390/ijms241512266en_US
dc.relation.page1-22-
dc.relation.journalINTERNATIONAL JOURNAL OF MOLECULAR SCIENCES-
dc.contributor.googleauthorCha, Junho-
dc.contributor.googleauthorChoi, Sungkyoung-
dc.relation.code2023037136-
dc.sector.campusE-
dc.sector.daehakCOLLEGE OF SCIENCE AND CONVERGENCE TECHNOLOGY[E]-
dc.sector.departmentDEPARTMENT OF MATHEMATICAL DATA SCIENCE-
dc.identifier.pidday0413-
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COLLEGE OF SCIENCE AND CONVERGENCE TECHNOLOGY[E](과학기술융합대학) > ETC
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