Genome-wide association study of COVID-19 severity among the Chinese population
Abstract Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection causes a broad clinical spectrum of coronavirus disease 2019 (COVID-19). The development of COVID-19 may be the result of a complex interaction between the microbial, environmental, and host genetic components. To reveal...
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Nature Publishing Group
2021-08-01
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Series: | Cell Discovery |
Online Access: | https://doi.org/10.1038/s41421-021-00318-6 |
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Article |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yuanfeng Li Yuehua Ke Xinyi Xia Yahui Wang Fanjun Cheng Xinyi Liu Xin Jin Boan Li Chengyong Xie Siyang Liu Weijun Chen Chenning Yang Yuguang Niu Ruizhong Jia Yong Chen Xiong Liu Zhihua Wang Fang Zheng Yan Jin Zhen Li Ning Yang Pengbo Cao Hongxia Chen Jie Ping Fuchu He Changjun Wang Gangqiao Zhou |
spellingShingle |
Yuanfeng Li Yuehua Ke Xinyi Xia Yahui Wang Fanjun Cheng Xinyi Liu Xin Jin Boan Li Chengyong Xie Siyang Liu Weijun Chen Chenning Yang Yuguang Niu Ruizhong Jia Yong Chen Xiong Liu Zhihua Wang Fang Zheng Yan Jin Zhen Li Ning Yang Pengbo Cao Hongxia Chen Jie Ping Fuchu He Changjun Wang Gangqiao Zhou Genome-wide association study of COVID-19 severity among the Chinese population Cell Discovery |
author_facet |
Yuanfeng Li Yuehua Ke Xinyi Xia Yahui Wang Fanjun Cheng Xinyi Liu Xin Jin Boan Li Chengyong Xie Siyang Liu Weijun Chen Chenning Yang Yuguang Niu Ruizhong Jia Yong Chen Xiong Liu Zhihua Wang Fang Zheng Yan Jin Zhen Li Ning Yang Pengbo Cao Hongxia Chen Jie Ping Fuchu He Changjun Wang Gangqiao Zhou |
author_sort |
Yuanfeng Li |
title |
Genome-wide association study of COVID-19 severity among the Chinese population |
title_short |
Genome-wide association study of COVID-19 severity among the Chinese population |
title_full |
Genome-wide association study of COVID-19 severity among the Chinese population |
title_fullStr |
Genome-wide association study of COVID-19 severity among the Chinese population |
title_full_unstemmed |
Genome-wide association study of COVID-19 severity among the Chinese population |
title_sort |
genome-wide association study of covid-19 severity among the chinese population |
publisher |
Nature Publishing Group |
series |
Cell Discovery |
issn |
2056-5968 |
publishDate |
2021-08-01 |
description |
Abstract Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection causes a broad clinical spectrum of coronavirus disease 2019 (COVID-19). The development of COVID-19 may be the result of a complex interaction between the microbial, environmental, and host genetic components. To reveal genetic determinants of susceptibility to COVID-19 severity in the Chinese population, we performed a genome-wide association study on 885 severe or critical COVID-19 patients (cases) and 546 mild or moderate patients (controls) from two hospitals, Huoshenshan and Union hospitals at Wuhan city in China. We identified two loci on chromosome 11q23.3 and 11q14.2, which are significantly associated with the COVID-19 severity in the meta-analyses of the two cohorts (index rs1712779: odds ratio [OR] = 0.49; 95% confidence interval [CI], 0.38–0.63 for T allele; P = 1.38 × 10−8; and index rs10831496: OR = 1.66; 95% CI, 1.38–1.98 for A allele; P = 4.04 × 10−8, respectively). The results for rs1712779 were validated in other two small COVID-19 cohorts in the Asian populations (P = 0.029 and 0.031, respectively). Furthermore, we identified significant eQTL associations for REXO2, C11orf71, NNMT, and CADM1 at 11q23.3, and CTSC at 11q14.2, respectively. In conclusion, our findings highlight two loci at 11q23.3 and 11q14.2 conferring susceptibility to the severity of COVID-19, which might provide novel insights into the pathogenesis and clinical treatment of this disease. |
url |
https://doi.org/10.1038/s41421-021-00318-6 |
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doaj-13b735a1e1ce47a79b7e5e6f35e163cd2021-09-05T11:46:58ZengNature Publishing GroupCell Discovery2056-59682021-08-017111610.1038/s41421-021-00318-6Genome-wide association study of COVID-19 severity among the Chinese populationYuanfeng Li0Yuehua Ke1Xinyi Xia2Yahui Wang3Fanjun Cheng4Xinyi Liu5Xin Jin6Boan Li7Chengyong Xie8Siyang Liu9Weijun Chen10Chenning Yang11Yuguang Niu12Ruizhong Jia13Yong Chen14Xiong Liu15Zhihua Wang16Fang Zheng17Yan Jin18Zhen Li19Ning Yang20Pengbo Cao21Hongxia Chen22Jie Ping23Fuchu He24Changjun Wang25Gangqiao Zhou26State Key Laboratory of Proteomics, National Center for Protein Sciences at Beijing, Beijing Institute of Radiation MedicineCenter for Disease Control and Prevention of PLADepartment of Laboratory Medicine, Wuhan Huoshenshan HospitalState Key Laboratory of Proteomics, National Center for Protein Sciences at Beijing, Beijing Institute of Radiation MedicineUnion Hospital, Tongji Medical College, Huazhong University of Science and TechnologyState Key Laboratory of Proteomics, National Center for Protein Sciences at Beijing, Beijing Institute of Radiation MedicineSchool of Medicine, South China University of TechnologyClinical Laboratory Medicine Center, Fifth Medical Center of Chinese PLA General HospitalMedical College of Guizhou UniversitySchool of Public Health (Shenzhen), Sun Yat-sen UniversityUniversity of Chinese Academy of SciencesState Key Laboratory of Proteomics, National Center for Protein Sciences at Beijing, Beijing Institute of Radiation MedicineDepartment of Otolaryngology, The First Medical Center of General Hospital of PLACenter for Disease Control and Prevention of PLACenter for Disease Control and Prevention of PLACenter for Disease Control and Prevention of PLACenter for Disease Control and Prevention of PLAUnion Hospital, Tongji Medical College, Huazhong University of Science and TechnologyUnion Hospital, Tongji Medical College, Huazhong University of Science and TechnologyUnion Hospital, Tongji Medical College, Huazhong University of Science and TechnologyClinical Laboratory Medicine Center, Fifth Medical Center of Chinese PLA General HospitalState Key Laboratory of Proteomics, National Center for Protein Sciences at Beijing, Beijing Institute of Radiation MedicineState Key Laboratory of Proteomics, National Center for Protein Sciences at Beijing, Beijing Institute of Radiation MedicineState Key Laboratory of Proteomics, National Center for Protein Sciences at Beijing, Beijing Institute of Radiation MedicineState Key Laboratory of Proteomics, National Center for Protein Sciences at Beijing, Beijing Institute of LifeomicsCenter for Disease Control and Prevention of PLAState Key Laboratory of Proteomics, National Center for Protein Sciences at Beijing, Beijing Institute of Radiation MedicineAbstract Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection causes a broad clinical spectrum of coronavirus disease 2019 (COVID-19). The development of COVID-19 may be the result of a complex interaction between the microbial, environmental, and host genetic components. To reveal genetic determinants of susceptibility to COVID-19 severity in the Chinese population, we performed a genome-wide association study on 885 severe or critical COVID-19 patients (cases) and 546 mild or moderate patients (controls) from two hospitals, Huoshenshan and Union hospitals at Wuhan city in China. We identified two loci on chromosome 11q23.3 and 11q14.2, which are significantly associated with the COVID-19 severity in the meta-analyses of the two cohorts (index rs1712779: odds ratio [OR] = 0.49; 95% confidence interval [CI], 0.38–0.63 for T allele; P = 1.38 × 10−8; and index rs10831496: OR = 1.66; 95% CI, 1.38–1.98 for A allele; P = 4.04 × 10−8, respectively). The results for rs1712779 were validated in other two small COVID-19 cohorts in the Asian populations (P = 0.029 and 0.031, respectively). Furthermore, we identified significant eQTL associations for REXO2, C11orf71, NNMT, and CADM1 at 11q23.3, and CTSC at 11q14.2, respectively. In conclusion, our findings highlight two loci at 11q23.3 and 11q14.2 conferring susceptibility to the severity of COVID-19, which might provide novel insights into the pathogenesis and clinical treatment of this disease.https://doi.org/10.1038/s41421-021-00318-6 |