【摘 要】
：
By re-analzying public metagenomic data from 101 patients infected with influenza A virus during the 2007-2012 H1N1 flu seasons in France, we identified 22 samples with SARS-CoV sequences. In three of them, the SARS genome sequences could be fully assembl
【机 构】
：
CAS Key Laboratory for Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academ
论文部分内容阅读
By re-analzying public metagenomic data from 101 patients infected with influenza A virus during the 2007-2012 H1N1 flu seasons in France, we identified 22 samples with SARS-CoV sequences. In three of them, the SARS genome sequences could be fully assembled out of each. These sequences are highly similar (99.99% and 99.70%) to the artificially constructed recombinant SARS-CoV (SARSr-CoV) strains generated by the J. Craig Venter Institute in the USA. Moreover, samples from different flu seasons have different SARS-CoV strains, and the divergence between these strains cannot be explained by natural evolution. Our study also shows that retrospective studies using public metagenomic data from past major epidemic outbreaks serve as a genomic strategy for the research of the origins or spread of infectious diseases.“,”By re-analzying public metagenomic data from 101 patients infected with influenza A virus during the 2007-2012 H1N1 flu seasons in France, we identified 22 samples with SARS-CoV sequences. In three of them, the SARS genome sequences could be fully assembled out of each. These sequences are highly similar (99.99% and 99.70%) to the artificially constructed recombinant SARS-CoV (SARSr-CoV) strains generated by the J. Craig Venter Institute in the USA. Moreover, samples from different flu seasons have different SARS-CoV strains, and the divergence between these strains cannot be explained by natural evolution. Our study also shows that retrospective studies using public metagenomic data from past major epidemic outbreaks serve as a genomic strategy for the research of the origins or spread of infectious diseases.
其他文献
在观察性研究中进行因果推断的众多方法中，用于控制已测量混杂的倾向性评分方法应用越来越广泛。该类方法主要分为两步：首先估计倾向性评分，然后采取回归、加权、匹配和分层等手段进一步估计感兴趣的因果参数。不同于传统的二分类处理情况，近年来针对连续型处理因素的广义倾向性评分方法被提出。目前已发展出了许多估计广义倾向性评分和直接估计均衡权重的方法，本文将从基于模型和基于均衡性两个角度出发对现有方法进行介绍。“,”Among kinds of methods for causal inference in observ
Due to the increase in human population, habitat destruction, and the close interaction between humans, animals and the environment, these dynamic changes are a threat to the health of human, animal and environment. Therefore, we required intervention con
To assess the tuberculosis (TB) epidemic and incidence trends in areas and countries along the Belt and Road Initiative, we analyzed the prevalence, diagnosis, and treatment of tuberculosis through consulting the data of the World Health Organization’s Gl
Early and accurate diagnosis of human prion diseases is a long-standing difficulty. Currently, the definitive diagnosis of human prion diseases relies on pathognomonic histological features or PrPSc detection of patients\' brain tissue biopsy or autopsy
目的:分析我国“农村义务教育学生营养改善计划”覆盖地区中小学学生餐剩饭情况及影响因素。方法:2019年在“农村义务教育学生营养改善计划”覆盖地区699个县中，分片选取1~3个国家试点县，共选取50个重点监测县。按照不同供餐模式，随机各抽取2所小学和2所初中作为重点监测学校。从小学三年级到初中三年级，每个年级抽取1~2个班。采用《学生调查表》收集所调查的26 778名学生的基本信息和剩菜剩饭情况。采用多因素logistic回归分析剩饭率的影响因素。结果:我国“农村义务教育学生营养改善计划”覆盖地区学生的剩饭
目的:了解我国“农村义务教育学生营养改善计划”覆盖地区中小学生生长迟缓状况及其影响因素，为改善我国农村学生营养状况提供科学依据。方法:采用多阶段整群随机抽样方法，抽取我国“农村义务教育学生营养改善计划”覆盖地区的1 550 969名6~15岁中小学生，男女生比例基本均衡，测量身高，依据《学龄儿童青少年营养不良筛查标准》（WS/T 456-2014）判定学生生长迟缓状况。通过《学校调查表》和《县级调查表》调查相关影响因素。学生生长迟缓情况采用例数和百分率描述，组间比较采用n χ2检验。采用二分类l
目的:分析2019年“农村义务教育学生营养改善计划”覆盖地区中小学生贫血状况及其影响因素。方法:研究对象为2019年“农村义务教育学生营养改善计划”覆盖地区47 297名6~17岁中小学生。依据2011年WHO贫血诊断标准，分析比较不同性别、年龄、地区中小学生的血红蛋白水平和贫血率，并采用多因素logistic回归模型分析贫血的影响因素。结果:2019年我国“农村义务教育学生营养改善计划”覆盖地区中小学生血红蛋白均值为135.19 g/L，贫血率为8.7%；女生贫血率（10.0%）高于男生（7.4%），西
Although significant achievements have shown that the coronavirus disease 2019 (COVID-19) resurgence in Beijing, China, was initiated by contaminated frozen products and transported via cold chain transportation, international travelers with asymptomatic
The treatment of n K. pneumoniae infections has become more difficult due to the emergence of multidrug-resistant strains. This study aimed to evaluate antimicrobial resistance patterns and detect different types of beta-lactamase genes among MDR and