SARS-CoV2 Sequencing Surveillance Program for Upstate South Carolina
南卡罗来纳州北部 SARS-CoV2 测序监测计划
基本信息
- 批准号:10691023
- 负责人:
- 金额:$ 67.3万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2018
- 资助国家:美国
- 起止时间:2018-09-15 至 2024-07-31
- 项目状态:已结题
- 来源:
- 关键词:Advisory CommitteesAnimal ModelAnimal TestingAnimalsAreaAwardBasic ScienceBioinformaticsBiologyBiomedical EngineeringBiomedical ResearchBone DiseasesCadaverCenters of Research ExcellenceClinicalCollaborationsCommunitiesComplementComputer ModelsDataDevelopmentDevicesDisciplineEvaluationFacultyFaculty RecruitmentFosteringFundingFutureGlossaryGoalsHealthHealth systemHealthcareHumanInfrastructureInterventionInvestmentsMedicalMedical ResearchMedicineMentorsModelingModernizationMusculoskeletalMusculoskeletal DiseasesMusculoskeletal SystemNatureOutcomePatientsPerformancePersonnel RecruitmentsPersonsPhysicsPrecision therapeuticsPrivate SectorProcessPublic HealthPublishingRandomized Clinical TrialsResearchResearch InfrastructureResearch PersonnelResourcesSchoolsShapesSouth CarolinaSpecimenSupercomputingSystems BiologyTechnologyTechnology TransferTestingTherapeuticTherapeutic InterventionTherapeutic UsesTimeTissuesTrainingTranslatingTranslational ResearchTranslationsUnited StatesUnited States National Institutes of HealthUniversitiesValidationWorkacronymsaging populationarthropathiesbasebody systemcareerclinical practicecluster computingcostdisabilityequipment acquisitionflexibilityimprovedin vivoinnovationinterdisciplinary approachinterestmaterials sciencemulti-scale modelingmultidisciplinarynovelnovel strategiesnovel therapeutic interventionpre-clinical assessmentprecision medicineprogramssensor technologyskeletalsuccesssystems researchtechnology developmentvirtual human
项目摘要
Project Summary
The overall objective of this project is to continue and expand surveillance efforts to detect and monitor extant
and emerging variants by sequencing the positive samples detected by the extensive university surveillance and
community testing programs at Clemson University (CU). Variants of concern of SARS-CoV-2 have caused large
outbreak events worldwide. As we tracked during the significant Delta and Omicron outbreaks in Upstate South
Carolina, this poses a serious public health threat; the new variants can escape the coverage of COVID-19
vaccines or infect previously exposed individuals. Our sequencing surveillance program aims to continue to
provide much-needed insight and guidance to inform policy decisions to help mitigate these potential threats.
In response to the COVID-19 pandemic, CU established a robust high-throughput COVID-19 diagnostic testing
program, which enabled the university to remain opened to in-person instruction through most of the pandemic.
The CLIA-certified Clemson Research and Education in Disease Diagnosis and Intervention (REDDI) Lab has
facilitated regular testing of all university personnel and free testing to members of the surrounding Upstate South
Carolina community. The lab has run >10% of all the COVID-19 tests from South Carolina. In 2021, the REDDI
Lab partnered with the CU Genomics and Bioinformatic Facility (CUGBF) to set up a SARS-CoV-2 genomics
sequencing program, which mapped 3 major outbreak events and provided early detection of the Delta and
Omicron variants in the rural Upstate South Carolina region. These data were instrumental to inform the pre-
emptive COVID-19 policies and timely response for the university as well as Upstate SC cities and municipalities.
In addition, the sequencing surveillance program allowed for significant scientific discovery on variant specific
disease presentation, variant differences in effectiveness of vaccine and prior infection protection, surveillance
testing and COVID-19 mitigation strategies, and wastewater community surveillance efforts. The results from
the sequencing program also led to the development of new assays and technologies for COVID-19 diagnosis
and surveillance as well as undergraduate and graduate student training and community outreach programs.
To accomplish our overall goals of continued SARS-CoV-2 genomic surveillance, we propose the following aims:
Aim 1: Determine the association of SARS-CoV-2 genomic variants with population demographics, outbreak
events, COVID-19 symptom severity and duration, previous infection, and vaccination.
Aim 2: Develop real-time workflows and data analytics platforms to meet the challenge of variant surveillance
through the on-going COVID-19 situation for its inevitable transition from pandemic to endemic phase.
Over the last year, we have created a unique and robust sequencing program that not only sequences samples
but also ties the results to a rich university and community COVID-19 surveillance database to enable secure
and effective data mining for continued analysis. Our community testing program has provided testing and
surveillance to remote and underserved areas of the Upstate. This provided for an excellent representation of
the Upstate South Carolina demographics, including significant numbers of patients from populations with known
COVID-19 outcome disparities. Because of the university and our proximity to major travel hubs (e.g.,
Atlanta/Charlotte) there is significant flux of travelers in our area who introduce new variants into our relatively
rural community. Over the past year, we have demonstrated that the SARS-CoV-2 variant prevalence in rural
Upstate SC is distinct from the rest of the state. In addition, our program captured data from patient demographic
groups that are highly under-sampled by other labs at hospitals and public health agencies. The majority of
positive cases detected by our lab were young and usually asymptomatic or minimally symptomatic at the time
of diagnosis. However, we have shown that, particularly with the newer variants of concern, these patients can
readily spread the disease to others and they, themselves, even with mild symptoms, can sometimes have longer
lasting health effects. Overall, this has demonstrated the need for continued SARS-CoV-2 sequencing support
to study the evolving COVID-19 pandemic in our region and for our population groups.
项目总结
项目成果
期刊论文数量(0)
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{{ truncateString('Hai Yao', 18)}}的其他基金
SARS-CoV2 sequencing surveillance program for Upstate South Carolina
南卡罗来纳州北部 SARS-CoV2 测序监测计划
- 批准号:
10381278 - 财政年份:2018
- 资助金额:
$ 67.3万 - 项目类别:
SC COBRE for Translational Research Improving Musculoskeletal Health (SC-TRIMH)
SC COBRE 用于改善肌肉骨骼健康的转化研究 (SC-TRIMH)
- 批准号:
10400367 - 财政年份:2018
- 资助金额:
$ 67.3万 - 项目类别:
Multi-Scale Computational Modeling Core (MCM)
多尺度计算建模核心 (MCM)
- 批准号:
10714164 - 财政年份:2018
- 资助金额:
$ 67.3万 - 项目类别:
SC COBRE for Translational Research Improving Musculoskeletal Health (SC-TRIMH)
SC COBRE 用于改善肌肉骨骼健康的转化研究 (SC-TRIMH)
- 批准号:
10244913 - 财政年份:2018
- 资助金额:
$ 67.3万 - 项目类别:
SC COBRE for Translational Research Improving Musculoskeletal Health (SC-TRIMH)
SC COBRE 用于改善肌肉骨骼健康的转化研究 (SC-TRIMH)
- 批准号:
10854267 - 财政年份:2018
- 资助金额:
$ 67.3万 - 项目类别:
SC COBRE for TranslationalResearch Improving MusculoskeletalHealth (SC-TRIMH)
SC COBRE 改善肌肉骨骼健康转化研究 (SC-TRIMH)
- 批准号:
10714162 - 财政年份:2018
- 资助金额:
$ 67.3万 - 项目类别:
SC COBRE for Translational Research Improving Musculoskeletal Health (SC-TRIMH)
SC COBRE 用于改善肌肉骨骼健康的转化研究 (SC-TRIMH)
- 批准号:
10582104 - 财政年份:2018
- 资助金额:
$ 67.3万 - 项目类别:
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