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Trans-ethnic genome-wide association study of severe COVID-19
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 in...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8408224/ https://www.ncbi.nlm.nih.gov/pubmed/34465887 http://dx.doi.org/10.1038/s42003-021-02549-5 |
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| author | Wu, Peng Ding, Lin Li, Xiaodong Liu, Siyang Cheng, Fanjun He, Qing Xiao, Mingzhong Wu, Ping Hou, Hongyan Jiang, Minghui Long, Pinpin Wang, Hao Liu, Linlin Qu, Minghan Shi, Xian Jiang, Qin Mo, Tingting Ding, Wencheng Fu, Yu Han, Shi Huo, Xixiang Zeng, Yingchun Zhou, Yana Zhang, Qing Ke, Jia Xu, Xi Ni, Wei Shao, Zuoyu Wang, Jingzhi Liu, Panhong Li, Zilong Jin, Yan Zheng, Fang Wang, Fang Liu, Lei Li, Wending Liu, Kang Peng, Rong Xu, Xuedan Lin, Yuhui Gao, Hui Shi, Limei Geng, Ziyue Mu, Xuanwen Yan, Yu Wang, Kai Wu, Degang Hao, Xingjie Cheng, Shanshan Qiu, Gaokun Guo, Huan Li, Kezhen Chen, Gang Sun, Ziyong Lin, Xihong Jin, Xin Wang, Feng Sun, Chaoyang Wang, Chaolong |
| author_facet | Wu, Peng Ding, Lin Li, Xiaodong Liu, Siyang Cheng, Fanjun He, Qing Xiao, Mingzhong Wu, Ping Hou, Hongyan Jiang, Minghui Long, Pinpin Wang, Hao Liu, Linlin Qu, Minghan Shi, Xian Jiang, Qin Mo, Tingting Ding, Wencheng Fu, Yu Han, Shi Huo, Xixiang Zeng, Yingchun Zhou, Yana Zhang, Qing Ke, Jia Xu, Xi Ni, Wei Shao, Zuoyu Wang, Jingzhi Liu, Panhong Li, Zilong Jin, Yan Zheng, Fang Wang, Fang Liu, Lei Li, Wending Liu, Kang Peng, Rong Xu, Xuedan Lin, Yuhui Gao, Hui Shi, Limei Geng, Ziyue Mu, Xuanwen Yan, Yu Wang, Kai Wu, Degang Hao, Xingjie Cheng, Shanshan Qiu, Gaokun Guo, Huan Li, Kezhen Chen, Gang Sun, Ziyong Lin, Xihong Jin, Xin Wang, Feng Sun, Chaoyang Wang, Chaolong |
| author_sort | Wu, Peng |
| collection | PubMed |
| description | 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. |
| format | Online Article Text |
| id | pubmed-8408224 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2021 |
| publisher | Nature Publishing Group UK |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-84082242021-09-22 Trans-ethnic genome-wide association study of severe COVID-19 Wu, Peng Ding, Lin Li, Xiaodong Liu, Siyang Cheng, Fanjun He, Qing Xiao, Mingzhong Wu, Ping Hou, Hongyan Jiang, Minghui Long, Pinpin Wang, Hao Liu, Linlin Qu, Minghan Shi, Xian Jiang, Qin Mo, Tingting Ding, Wencheng Fu, Yu Han, Shi Huo, Xixiang Zeng, Yingchun Zhou, Yana Zhang, Qing Ke, Jia Xu, Xi Ni, Wei Shao, Zuoyu Wang, Jingzhi Liu, Panhong Li, Zilong Jin, Yan Zheng, Fang Wang, Fang Liu, Lei Li, Wending Liu, Kang Peng, Rong Xu, Xuedan Lin, Yuhui Gao, Hui Shi, Limei Geng, Ziyue Mu, Xuanwen Yan, Yu Wang, Kai Wu, Degang Hao, Xingjie Cheng, Shanshan Qiu, Gaokun Guo, Huan Li, Kezhen Chen, Gang Sun, Ziyong Lin, Xihong Jin, Xin Wang, Feng Sun, Chaoyang Wang, Chaolong Commun Biol Article 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. Nature Publishing Group UK 2021-08-31 /pmc/articles/PMC8408224/ /pubmed/34465887 http://dx.doi.org/10.1038/s42003-021-02549-5 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
| spellingShingle | Article Wu, Peng Ding, Lin Li, Xiaodong Liu, Siyang Cheng, Fanjun He, Qing Xiao, Mingzhong Wu, Ping Hou, Hongyan Jiang, Minghui Long, Pinpin Wang, Hao Liu, Linlin Qu, Minghan Shi, Xian Jiang, Qin Mo, Tingting Ding, Wencheng Fu, Yu Han, Shi Huo, Xixiang Zeng, Yingchun Zhou, Yana Zhang, Qing Ke, Jia Xu, Xi Ni, Wei Shao, Zuoyu Wang, Jingzhi Liu, Panhong Li, Zilong Jin, Yan Zheng, Fang Wang, Fang Liu, Lei Li, Wending Liu, Kang Peng, Rong Xu, Xuedan Lin, Yuhui Gao, Hui Shi, Limei Geng, Ziyue Mu, Xuanwen Yan, Yu Wang, Kai Wu, Degang Hao, Xingjie Cheng, Shanshan Qiu, Gaokun Guo, Huan Li, Kezhen Chen, Gang Sun, Ziyong Lin, Xihong Jin, Xin Wang, Feng Sun, Chaoyang Wang, Chaolong Trans-ethnic genome-wide association study of severe COVID-19 |
| title | Trans-ethnic genome-wide association study of severe COVID-19 |
| title_full | Trans-ethnic genome-wide association study of severe COVID-19 |
| title_fullStr | Trans-ethnic genome-wide association study of severe COVID-19 |
| title_full_unstemmed | Trans-ethnic genome-wide association study of severe COVID-19 |
| title_short | Trans-ethnic genome-wide association study of severe COVID-19 |
| title_sort | trans-ethnic genome-wide association study of severe covid-19 |
| topic | Article |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8408224/ https://www.ncbi.nlm.nih.gov/pubmed/34465887 http://dx.doi.org/10.1038/s42003-021-02549-5 |
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