Article
Trans-ethnic genome-wide association study of severe COVID-19.
Communications biology - 31 Aug 2021
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
Abstract excerpt
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...
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