Viral genomes reveal patterns of the SARS-CoV-2 outbreak in Washington State.
Viral genomes reveal patterns of the SARS-CoV-2 outbreak in Washington State.
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DOI:
10.1126/scitranslmed.abf0202
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发表时间:
2021-05-26
影响因子:
17.1
通讯作者:
Bedford T
中科院分区:
文献类型:
--
作者:
Müller NF;Wagner C;Frazar CD;Roychoudhury P;Lee J;Moncla LH;Pelle B;Richardson M;Ryke E;Xie H;Shrestha L;Addetia A;Rachleff VM;Lieberman NAP;Huang ML;Gautom R;Melly G;Hiatt B;Dykema P;Adler A;Brandstetter E;Han PD;Fay K;Ilcisin M;Lacombe K;Sibley TR;Truong M;Wolf CR;Boeckh M;Englund JA;Famulare M;Lutz BR;Rieder MJ;Thompson M;Duchin JS;Starita LM;Chu HY;Shendure J;Jerome KR;Lindquist S;Greninger AL;Nickerson DA;Bedford T
Initial SARS-CoV-2 dynamics in Washington State were driven by regional interventions and introductions of variants differing in viral loads. Understanding the impact of emerging SARS-CoV-2 variants is essential to inform the development of effective antiviral measures. Studies have indicated that the D614G substitution in the SARS-CoV-2 Spike protein may increase transmissibility, but to what extent this variant has propelled the pandemic is debated. Analyzing thousands of viral genomes together with clinical data, Müller et al. found no evidence that the 614G variant rose in frequency in Washington State mid-2020 due to increased transmissibility or virulence. Instead, the data provided a stronger signal that the surge in 614G was explainable by its repeated introduction into the state as well as local differences in lockdown measures—both human-catalyzed factors. The rapid spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has gravely affected societies around the world. Outbreaks in different parts of the globe have been shaped by repeated introductions of new viral lineages and subsequent local transmission of those lineages. Here, we sequenced 3940 SARS-CoV-2 viral genomes from Washington State (USA) to characterize how the spread of SARS-CoV-2 in Washington State in early 2020 was shaped by differences in timing of mitigation strategies across counties and by repeated introductions of viral lineages into the state. In addition, we show that the increase in frequency of a potentially more transmissible viral variant (614G) over time can potentially be explained by regional mobility differences and multiple introductions of 614G but not the other variant (614D) into the state. At an individual level, we observed evidence of higher viral loads in patients infected with the 614G variant. However, using clinical records data, we did not find any evidence that the 614G variant affects clinical severity or patient outcomes. Overall, this suggests that with regard to D614G, the behavior of individuals has been more important in shaping the course of the pandemic in Washington State than this variant of the virus.
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影响因子:
2.7
作者:
Müller NF;Bouckaert RR
通讯作者:
Bouckaert RR
影响因子:
82.9
作者:
He, Xi;Lau, Eric H. Y.;Leung, Gabriel M.
通讯作者:
Leung, Gabriel M.
影响因子:
9.4
作者:
Greninger, Alexander L.;Zerr, Danielle M.;Jerome, Keith R.
通讯作者:
Jerome, Keith R.
影响因子:
64.5
作者:
Korber, Bette;Fischer, Will M.;Montefiori, David C.
通讯作者:
Montefiori, David C.
DOI:
10.1126/science.abc0523
发表时间:
2020-10-30
期刊:
Science (New York, N.Y.)
影响因子:
--
作者:
Bedford T;Greninger AL;Roychoudhury P;Starita LM;Famulare M;Huang ML;Nalla A;Pepper G;Reinhardt A;Xie H;Shrestha L;Nguyen TN;Adler A;Brandstetter E;Cho S;Giroux D;Han PD;Fay K;Frazar CD;Ilcisin M;Lacombe K;Lee J;Kiavand A;Richardson M;Sibley TR;Truong M;Wolf CR;Nickerson DA;Rieder MJ;Englund JA;Seattle Flu Study Investigators;Hadfield J;Hodcroft EB;Huddleston J;Moncla LH;Müller NF;Neher RA;Deng X;Gu W;Federman S;Chiu C;Duchin JS;Gautom R;Melly G;Hiatt B;Dykema P;Lindquist S;Queen K;Tao Y;Uehara A;Tong S;MacCannell D;Armstrong GL;Baird GS;Chu HY;Shendure J;Jerome KR
通讯作者:
Jerome KR