Whole Genome Sequence Analysis of Six SARS-CoV-2 Positive Patients Followed in a Tertiary University Hospital

Authors : Esma KEPENEK KURT, Mehmet ÖZDEMİR, Fatma ESENKAYA TAŞBENT, İbrahim ERAYMAN

Pages : 907-913

Doi:10.16899/jcm.1312540

View : 22 | Download : 35

Publication Date : 2023-09-30

Article Type : Research Paper

Abstract :Aims: In this study, we aimed to determine mutations in the gene sequence of this virus, by performing whole genome sequence analysis from patient samples found positive by actual RT-PCR insert ignore into journalissuearticles values(PCR); for SARS-CoV-2. Methods: The study included six adult patient samples with different clinical manifestations with positive PCR tests for SARS-CoV-2, between June 01, 2020, and March 12, 2021. Sequence knowledge of all samples/testers has been loaded into the GISEAD insert ignore into journalissuearticles values(Global Initiative on Sharing All Influenza Data); data system. Clade Analysis, Genome Analysis, Variant Analysis, and Phylogenetic Tree Analysis were conducted. Results: 3 of the patients were women insert ignore into journalissuearticles values(female);, and three were meninsert ignore into journalissuearticles values(male);, with the mean age of 42.5 years old insert ignore into journalissuearticles values(between 20 - 61);. Totally 71 mutations were specified in 6 adult patients. By the Pangolin lineage, three of the patients were B.1.177, two were B.1, one was of B1.36 lineage. By the Pango lineage, two of the patients were B.1.609, one was B.177, one was B.1.36. By the Nexstrain Clade, four of the patients were 20A and two were of 19A lineage. No D614G mutation was detected in any of the patients. While five patients recovered, one patient with metastatic lung adenocarcinoma died. Conclusion; The patients were detected in the commonly found \`Non-VOC\` group. Therefore, variants could not be associated with the clinical status and prognosis of the patients. However, it is thought that the data obtained contribute to both global and national SARS-CoV-2 data.
Keywords : Genom dizi analizi, SARS CoV 2, Konya, Mutasyon