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Detection of Phenotype-Related Mutations of COVID-19 via the Whole Genomic Data

机译:通过全基因组数据检测Covid-19的表型相关突变

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The coronavirus disease 2019 (COVID-19) epidemic continues to spread rapidly around the world and nearly 20 millions people are infected. This paper utilises both single-locus analysis and joint-SNPs analysis for detection of significant single nucleotide polymorphisms (SNPs) in the phenotypes of symptomatic versus asymptomatic, the early collection time versus the late collection time, the old versus the young, and the male versus the female. Also, this paper analyses the relationship between any two SNPs via linkage disequilibrium analysis, and visualises the patterns of cumulative mutations of SNPs over collection time. The results are in three folds. First, the SNP which locates at the nucleotide position 4321 is found to be an independent significant locus associated with all the first three phenotypes. Moreover, 12 significant SNPs are found in the first two studies. Second, gene orf1ab containing SNP-4321 is detected to be significantly associated with the first three phenotypes, and the three genes S, ORF3a, and N, are detected to be significant in the first two phenotypes. Third, some of the detected genes or SNPs are related to the SARS-COV-2 as supported by literature survey, which indicates that the results here may be helpful for further investigation.
机译:2019年冠状病毒疾病(Covid-19)流行病仍在继续迅速传播,近20万人受到感染。本文利用单对轨道分析和关节SNP分析,用于检测有症状与无症状的表型的显着单核苷酸多态性(SNP),早期收集时间与晚期收集时间,旧与年轻人,和男性与女性。此外,本文通过连锁不平衡分析分析了任何两个SNP之间的关系,并在收集时间上显示了SNP的累积突变模式。结果有三倍。首先,发现在核苷酸位置4321处定位的SNP是与所有前三种表型相关联的独立显着的基因座。此外,在前两项研究中发现了12个重要的SNP。其次,检测到含有SNP-4321的基因ORF1ab与前三种表型显着相关,并且在前两种表型中检测到三个基因S,ORF3a和N。第三,一些检测到的基因或SNP与文学调查所支持的SARS-COV-2有关,这表明这里的结果可能有助于进一步调查。

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