Health Disparities and SARS-COV-2 Evolution: A Focused Viral Genomics Study

健康差异和 SARS-COV-2 进化：一项重点病毒基因组学研究

• 批准号: 10381371
• 负责人: JOHN P. KIRWAN
• 金额: $ 73.76万
• 依托单位: LSU PENNINGTON BIOMEDICAL RESEARCH CTR
• 依托单位国家: 美国
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-08-15 至 2022-08-04
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10381371
• 关键词: 2019-nCoV; Address; Adherence; Amino Acids; Antibodies; Antiviral Agents; Area; Awareness; Bioinformatics; Biological; Body mass index; CLIA certified; COVID-19; COVID-19 pandemic; COVID-19 patient; COVID-19 surveillance; COVID-19 vaccine; Cerebrovascular Disorders; Chronic; Chronic Disease; Chronic Kidney Failure; Classification Scheme; Clinical; Clinical Data; Communities; Community Health Education; Community Outreach; Data; Data Analytics; Diabetes Mellitus; Diffusion; Drops; Evolution; Gender; Genetic; Genetic Variation; Healthcare Systems; Human; Hypertension; Immune system; Immunity; Immunosuppressive Agents; Impairment; Individual; Infection; Information Dissemination; Institution; Knowledge; Laboratories; Length of Stay; Lifting; Linguistics; Louisiana; Malignant Neoplasms; Methods; Minority; Molecular Epidemiology; Monoclonal Antibodies; Mutation; Obesity; Outcome; Participant; Pathogenicity; Patients; Pattern; Phylogenetic Analysis; Population; Population Sizes; Preventive measure; Probability; Process; Renal dialysis; Reporting; Resource Informatics; SARS-CoV-2 genome; SARS-CoV-2 variant; Severities; Symptoms; Testing; Time; Transplant Recipients; Underinsured; Underserved Population; Uninsured; Vaccinated; Vaccination; Vaccines; Variant; Viral; Viral Drug Resistance; Viral Genome; Virus; Vulnerable Populations; age group; base; biomedical informatics; clinical phenotype; community engagement; comorbidity; design; epidemiologic data; health disparity; immune clearance; immunogenic; immunogenicity; improved; innovation; models and simulation; next generation sequencing; outreach; pandemic disease; pressure; programs; racial and ethnic; sequencing platform; study population; trend; variants of concern; viral genomics; virus genetics

Health Disparities and SARS-CoV-2 Evolution: A Focused Viral Genomics Study Project Summary/Abstract We hypothesize that prolonged COVID19 illness, re-infection, and/or post-vaccine infection in patients with chronic conditions are associated with specific SARS-CoV-2 lineages or mutations, and that increasing the awareness of the potential danger posed by variants of concern will improve testing adherence and variant tracking. We propose to use our established FDA- authorized COVID19 sequencing platform in combination with innovative data analytics and clinical bioinformatics as well as our BMI and community engagement KCAs. Our proposal addresses four of the priority areas indicated by NOT-GM-21-031, specifically: • Are there different variants present in the study population, and how has the number of cases caused by different variants changed over time in the study population? • How are different variants distributed among different racial, ethnical, gender, and/or age groups? • Are specific variants associated with different levels of manifestation of COVID19 symptoms? • Do vaccinated study participants still acquire the SARS-CoV-2 virus, and if so, what variants do they carry? We propose these Specific Aims: Specific Aim 1. To improve surveillance of COVID19 by integrating SARS-CoV-2 sequencing and clinical data with a focus on under-represented, vulnerable and remote populations. Using highly automated processes, we will identify variants/mutations associated with clinical phenotypes, including prolonged asymptomatic/antibody-positive individuals, re-infected, and vaccinated populations. All trend data will be integrated in the AWS cloud where it can be accessed by relevant stakeholders including testing and vaccine program partners. Specific Aim 2. To develop and validate simulation models that incorporate SARS-CoV-2 genetic data with clinical outcomes to predict COVID19 case severity in Louisiana by region as vaccination levels increase. Specific Aim 3. To design and deploy culturally and linguistically appropriate outreach material on SARS-CoV-2 and determine whether increased knowledge of the potential danger of adaptive mutations improves acceptance of testing and vaccination.

健康差异和SARS-COV-2进化：一项重点的病毒基因组学研究 项目摘要/摘要 我们假设长时间的covid19疾病，再感染和/或疫苗后感染中的疾病 患有慢性条件的患者与特定的SARS-COV-2谱系或突变有关 而且，提高人们对关注变体所假定的潜在危险的认识将会 改善测试依从性和变体跟踪。我们建议使用我们已建立的FDA- 授权的COVID19测序平台与创新数据分析和 临床生物信息学以及我们的BMI和社区参与KCAS。我们的建议 解决了非GM-21-031指示的四个优先领域，特别是： •研究人群中是否存在不同的变体？ 在研究人群中随着时间的流逝而导致不同的变体发生变化？ •如何在不同的种族，种族，性别和/或年龄之间分布不同的变体 小组？ •特定变体是否与CoVID19症状的不同水平相关？ •接种疫苗的研究参与者仍然获得SARS-COV-2病毒，如果是的，则有什么变体 他们携带吗？ 我们提出了这些具体目标： 特定目的1。通过整合SARS-COV-2测序和 临床数据的重点是代表性不足，脆弱和远程人群。使用高度 自动化过程，我们将确定与临床表型相关的变体/突变， 重新感染并接种疫苗，包括长时间的渐近/抗体阳性个体 人群。所有趋势数据都将集成在AWS云中 相关的利益相关者，包括测试和疫苗计划合作伙伴。 特定目的2。开发和验证合并SARS-COV-2通用的模拟模型 具有临床结果的数据，以预测路易斯安那州划分的病例严重程度 疫苗接种水平增加。 特定目标3。在文化和语言上设计和部署适当的外展材料 SARS-COV-2并确定是否增加了对适应性潜在危险的了解 突变改善了测试和疫苗接种的接受。