A call for an independent inquiry into the origin of the SARS-CoV-2 virus.
A call for an independent inquiry into the origin of the SARS-CoV-2 virus.
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DOI：
10.1073/pnas.2202769119
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发表时间：
2022-05-24
影响因子：
11.1
通讯作者：
中科院分区：
文献类型：
--
作者：
自2020年1月在中国武汉发现sars - cov -2以来，该病毒的来源一直是激烈的科学辩论和公众猜测的话题。两种主要假设是，该病毒是由于人类接触受感染的动物而出现的[“人畜共患病”(2)]，或者是在与研究有关的事件中出现的(3)。由于缺乏疫情爆发初期的关键证据，对病毒起源的调查变得困难——毫无疑问，中国当局提高透明度将大有帮助。然而，我们在这里认为，有很多重要的信息可以从美国的研究机构收集到，这些信息还没有提供给独立、透明和科学的审查。美国境内可用的数据将明确包括但不限于，作为PREDICT项目和其他资助项目的一部分收集和保存的病毒序列，以及来自美国实验室的测序数据和实验室笔记。我们呼吁美国政府科学机构，尤其是美国国立卫生研究院，支持对SARS-CoV-2的来源进行全面、独立和透明的调查。例如，这应该在一个以科学为基础的密切关注的两党国会调查中进行，该调查具有充分的调查权力，可以提出重要的问题，但要避免被政治而不是科学所误导的政治迫害。
Since the identification of theSARS-CoV-2 in Wuhan, China, in January 2020 (1), the origin of the virus has been a topic of intense scientific debate and public speculation. The two main hypotheses are that the virus emerged from human exposure to an infected animal [“zoonosis”(2)] or that it emerged in a research-related incident (3). The investigation into the origin of the virus has been made difficult by the lack of key evidence from the earliest days of the outbreak—there’s no doubt that greater transparency on the part of Chinese authorities would be enormously helpful. Nevertheless, we argue here that there is much important information that can be gleaned from US-based research institutions, information not yet made available for independent, transparent, and scientific scrutiny. The data available within the United States would explicitly include, but are not limited to, viral sequences gathered and held as part of the PREDICT project and other funded programs, as well as sequencing data and laboratory notebooks from US laboratories. We call on US government scientific agencies, most notably the NIH, to support a full, independent, and transparent investigation of the origins of SARS-CoV-2. This should take place, for example, within a tightly focused science-based bipartisan Congressional inquiry with full investigative powers, which would be able to ask important questions—but avoid misguided witch-hunts governed more by politics than by science.
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影响因子：
5.4
作者：
Winstone H;Lista MJ;Reid AC;Bouton C;Pickering S;Galao RP;Kerridge C;Doores KJ;Swanson CM;Neil SJD
通讯作者：
Neil SJD
影响因子：
82.9
作者：
Menachery VD;Yount BL Jr;Debbink K;Agnihothram S;Gralinski LE;Plante JA;Graham RL;Scobey T;Ge XY;Donaldson EF;Randell SH;Lanzavecchia A;Marasco WA;Shi ZL;Baric RS
通讯作者：
Baric RS
影响因子：
3.8
作者：
Kota, Pradeep;Gentzsch, Martina;Stutts, M. Jackson
通讯作者：
Stutts, M. Jackson
影响因子：
10.7
作者：
Chan YA;Zhan SH
通讯作者：
Zhan SH
影响因子：
5.9
作者：
Haynes WA;Kamath K;Bozekowski J;Baum-Jones E;Campbell M;Casanovas-Massana A;Daugherty PS;Dela Cruz CS;Dhal A;Farhadian SF;Fitzgibbons L;Fournier J;Jhatro M;Jordan G;Klein J;Lucas C;Kessler D;Luchsinger LL;Martinez B;Catherine Muenker M;Pischel L;Reifert J;Sawyer JR;Waitz R;Wunder EA Jr;Zhang M;Yale IMPACT Team;Iwasaki A;Ko A;Shon JC
通讯作者：
Shon JC