Trans-ethnic genome-wide association study of severe COVID-19

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作者
Peng Wu
Lin Ding
Xiaodong Li
Siyang Liu
Fanjun Cheng
Qing He
Mingzhong Xiao
Ping Wu
Hongyan Hou
Minghui Jiang
Pinpin Long
Hao Wang
Linlin Liu
Minghan Qu
Xian Shi
Qin Jiang
Tingting Mo
Wencheng Ding
Yu Fu
Shi Han
Xixiang Huo
Yingchun Zeng
Yana Zhou
Qing Zhang
Jia Ke
Xi Xu
Wei Ni
Zuoyu Shao
Jingzhi Wang
Panhong Liu
Zilong Li
Yan Jin
Fang Zheng
Fang Wang
Lei Liu
Wending Li
Kang Liu
Rong Peng
Xuedan Xu
Yuhui Lin
Hui Gao
Limei Shi
Ziyue Geng
Xuanwen Mu
Yu Yan
Kai Wang
Degang Wu
Xingjie Hao
Shanshan Cheng
Gaokun Qiu
机构
[1] Huazhong University of Science and Technology,Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College
[2] Huazhong University of Science and Technology,National Medical Center for Major Public Health Events
[3] Huazhong University of Science and Technology,Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College
[4] Huazhong University of Science and Technology,Ministry of Education Key Laboratory of Environment and Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College
[5] Hubei Provincial Hospital of Traditional Chinese Medicine,Hepatic Disease Institute, Hubei Key Laboratory of Theoretical and Applied Research of Liver and Kidney in Traditional Chinese Medicine
[6] Hubei Provincial Academy of Traditional Chinese Medicine,School of Public Health (Shenzhen)
[7] Sun Yat-sen University,Department of Hematology
[8] Union Hospital,The Third People’s Hospital of Shenzhen, National Clinical Research Center for Infectious Disease
[9] Tongji Medical College,Department of Laboratory Medicine, Tongji Hospital
[10] Huazhong University of Science and Technology,Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College
[11] The Second Affiliated Hospital of Southern University of Science and Technology,College of Life Sciences
[12] Tongji Medical College,Department of Emergency, Union Hospital, Tongji Medical College
[13] Huazhong University of Science and Technology,Department of Pediatrics, Union Hospital, Tongji Medical College
[14] Huazhong University of Science and Technology,Department of Biostatistics
[15] Hubei Provincial Center for Disease Control and Prevention,Department of Statistics
[16] University of Chinese Academy of Sciences,School of Medicine
[17] Huazhong University of Science and Technology,undefined
[18] Huazhong University of Science and Technology,undefined
[19] Harvard T. H. Chan School of Public Health,undefined
[20] Harvard University,undefined
[21] Broad Institute of MIT and Harvard,undefined
[22] South China University of Technology,undefined
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摘要
COVID-19 has caused numerous infections with diverse clinical symptoms. To identify human genetic variants contributing to the clinical development of COVID-19, we genotyped 1457 (598/859 with severe/mild symptoms) and sequenced 1141 (severe/mild: 474/667) patients of Chinese ancestry. We further incorporated 1401 genotyped and 948 sequenced ancestry-matched population controls, and tested genome-wide association on 1072 severe cases versus 3875 mild or population controls, followed by trans-ethnic meta-analysis with summary statistics of 3199 hospitalized cases and 897,488 population controls from the COVID-19 Host Genetics Initiative. We identified three significant signals outside the well-established 3p21.31 locus: an intronic variant in FOXP4-AS1 (rs1853837, odds ratio OR = 1.28, P = 2.51 × 10−10, allele frequencies in Chinese/European AF = 0.345/0.105), a frameshift insertion in ABO (rs8176719, OR = 1.19, P = 8.98 × 10−9, AF = 0.422/0.395) and a Chinese-specific intronic variant in MEF2B (rs74490654, OR = 8.73, P = 1.22 × 10−8, AF = 0.004/0). These findings highlight an important role of the adaptive immunity and the ABO blood-group system in protection from developing severe COVID-19.
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