Author: Xianding Deng; Wei Gu; Scot Federman; Louis Du Plessis; Oliver Pybus; Nuno Faria; Candace Wang; Guixia Yu; Chao-Yang Pan; Hugo Guevara; Alicia Sotomayor-Gonzalez; Kelsey Zorn; Allan Gopez; Venice Servellita; Elaine Hsu; Steve Miller; Trevor Bedford; Alexander Greninger; Pavitra Roychoudhury; Michael Famulare; Helen Y Chu; Jay Shendure; Lea Starita; Catie Anderson; Karthik Gangavarapu; Mark Zeller; Emily Spencer; Kristian Andersen; Duncan MacCannell; Suxiang Tong; Gregory Armstrong; Clinton Paden; Yan Li; Ying Zhang; Scott Morrow; Matthew Willis; Bela Matyas; Sundari Mase; Olivia Kasirye; Maggie Park; Curtis Chan; Alexander Yu; Shua Chai; Elsa Villarino; Brandon Bonin; Debra Wadford; Charles Y Chiu
Title: A Genomic Survey of SARS-CoV-2 Reveals Multiple Introductions into Northern California without a Predominant Lineage Document date: 2020_3_30
ID: cbc98t7x_19
Snippet: is the (which was not peer-reviewed) The copyright holder for this preprint . https://doi.org/10.1101/2020.03. 27.20044925 doi: medRxiv preprint Our epidemiological and genomic survey of SARS-CoV-2 has several limitations. First, this initial analysis represents relatively sparse sampling of cases. Undersampling of virus genomes is due in part to the high proportion of cases (80%) with asymptomatic or mild disease (3, 4, 20) and limited diagnosti.....
Document: is the (which was not peer-reviewed) The copyright holder for this preprint . https://doi.org/10.1101/2020.03. 27.20044925 doi: medRxiv preprint Our epidemiological and genomic survey of SARS-CoV-2 has several limitations. First, this initial analysis represents relatively sparse sampling of cases. Undersampling of virus genomes is due in part to the high proportion of cases (80%) with asymptomatic or mild disease (3, 4, 20) and limited diagnostic testing for COVID-19 infection to date in California and throughout the United States. Second, the majority of samples analyzed were obtained from public health laboratories and thus may not be representative of the general population. Finally, phylogenetic clustering of viruses from different locations, such as Washington State and California in the same clade, does not prove directionality of spread. Despite this, our study shows that more robust insights into COVID-19 transmission are achievable if virus genomic diversity is combined and jointly interpreted with detailed epidemiological case data.
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