In silico assessment of the impact of 2019 novel coronavirus genomic variation on the efficiency of published real-time quantitative polymerase chain reaction detection assays
In Silico assessment of the impact of 2019 novel coronavirus (2019-nCoV) genomic variation on published real-time quantitative polymerase chain reaction detection assays作者机构:State Key Laboratory of Pathogen and BiosecurityBeijing Institute of Microbiology and EpidemiologyBeijing 100071China
出 版 物:《Chinese Medical Journal》 (中华医学杂志(英文版))
年 卷 期:2020年第133卷第13期
页 面:1612-1613页
核心收录:
学科分类:100208[医学-临床检验诊断学] 1002[医学-临床医学] 100201[医学-内科学(含:心血管病、血液病、呼吸系病、消化系病、内分泌与代谢病、肾病、风湿病、传染病)] 10[医学]
基 金:This work was supported by the National Key Research&Development Program of China(No.2020YFC0840900) the Beijing Municipal Science and Technology Project(No.Z201100001020004)
主 题:prevention diagnosis impact
摘 要:To the Editor:In December 2019,coronavirus disease 2019 outbreak caused by the 2019 novel coronavirus(2019-nCoV)happened in Wuhan,***,it has posed a worldwide public health ***-time quanti-tative polymerase chain reaction(RT-qPCR)was recom-mended as an effective pathogen detection method and has played an important role in prevention and control of the current *** research institutions have released their primer sets for *** the variant sites were located in the primer regions,the efficiency of RT-qPCR would be reduced,thus possibly causing false negative results,and leading to unpredictable impact on the diagnosis of patients and the control of this ***,a comprehensive investigation on 2019-nCoV genome variation is necessary to evaluate the effectiveness of current released RT-qPCR methods.