Sequencing and Genomics Cores
测序和基因组核心
基本信息
- 批准号:8691370
- 负责人:
- 金额:$ 18.83万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:
- 资助国家:美国
- 起止时间:至
- 项目状态:未结题
- 来源:
- 关键词:AccountingAfricaAfricanAlgorithmsAllelesAnopheles GenusAnopheles gambiaeAntimalarialsBase PairingBiological AssayBiological MarkersBlood specimenBudgetsChromosomesClassificationClinicalClinical TreatmentCollectionCommunitiesComplexComputer softwareCountryCulicidaeDNADNA ResequencingDNA Sequencing FacilityDataData AnalysesData QualityData SetDevelopmentDisease OutcomeDrug resistanceEffectiveness of InterventionsEndemic DiseasesEnvironmentEvaluationFailureFemaleFreezingFrequenciesGene FrequencyGeneticGenetic DriftGenetic MaterialsGenetic PolymorphismGenetic VariationGenomeGenomicsGenomics Shared ResourceGenotypeGleanGoalsHaplotypesHemoglobinHumanIn VitroIndividualInfectionInsecticide ResistanceInsecticidesInstitutesInterventionInvestigationLeftLengthLibrariesLinkage DisequilibriumMalariaMapsMeasuresMethodologyMethodsMinorModelingMonitorMorphologic artifactsNatural SelectionsNeighborhoodsNucleic AcidsOrganismOutcomePaperParasite resistanceParasitesPatientsPatternPharmaceutical PreparationsPhenotypePlasmodium falciparumPopulationPopulation GeneticsPopulation StudyPrincipal Component AnalysisProceduresProcessPublic Health SchoolsReadingReagentRefractoryRelative (related person)ReportingResearchResearch Project GrantsResearch ProposalsResistanceResolutionResource SharingResourcesSample SizeSamplingScientistSeasonsSentinelSequence AnalysisSignal TransductionSingle Nucleotide PolymorphismSiteStratificationStructureTechnologyTechnology TransferTestingTimeTrainingTreatment FailureValidationVariantWeightbaseburden of illnesscostdeep sequencingdrug testinggenetic analysisgenetic variantgenome sequencinggenome wide association studygenome-widegenotyping technologyin vivointerestmeetingsmeltingnext generation sequencingnovelnovel markerparasite genomepopulation basedpressureprogramsresponseskillsstatisticstooltool developmenttransmission processtreatment responsevalidation studiesvector
项目摘要
The Genomics Core will carry out the genotyping and population genetic analysis required to identify
informative biomarkers fundamental to all research projects in this proposal. A common theme of this proposal
is to identify genetic variation in the malaria parasite, vector and human host and relate this genetic variation to
understanding malaria transmission and development of effective malaria control measures. Whole genome
approaches for both the parasite and vector will provide genetic variation Information necessary to discover
signals associated with drug resistance in the parasite and insecticide resistance in the mosquito.
Genotyping specific loci related to drug resistance in the parasite, insecticide resistance in the vector, and
hemoglobin or other human loci associated with malaria outcome, will inform the effectiveness of interventions
directed at reducing malaria disease burden. Genotyping assays to identify parasite types in patient samples or
vector types will be developed to track changes in these populations as intervention strategies are applied at the
study sites. The genotyping core will provide sequencing and genotyping resources, as well as analysis
resources to determine the most informative markers in these populations related to intervention response and
disease outcome. The Genomics Core will validate these markers and develop field-deployable assays that are
low-cost and easy to Implement for tracking malaria outcomes as intervention strategies toward the eradication
of malaria are applied. A central component of the shared resources Genomics Core will involve training disease
endemic country scientists how to leverage genomic sequence and genotyping data for both discovery and tool
development As community-wide efforts increase the amount of publicly available sequencing and genotyping
data for the malaria parasite, the anopheles vector, and the human host, an opportunity of capacity building and
technology transfer will be the development of skills necessary to analyze sequence and genotyping data and
apply population genetic approaches to glean important signals from these data to assist with malaria control
measures and surveillance.
基因组核心将进行基因分型和种群遗传分析,以鉴定
本提案中所有研究项目基础的信息生物标志物。该提议的共同主题
是确定疟疾寄生虫,载体和人宿主的遗传变异,并将这种遗传变异与
了解疟疾的传播和开发有效的疟疾控制措施。全基因组
寄生虫和向量的方法都将提供发现必要的遗传变异信息
与寄生虫耐药性和蚊子耐药性相关的信号。
基因分型特异性基因座与寄生虫的耐药性有关,载体中的杀虫剂耐药性,以及
血红蛋白或其他与疟疾结局相关的人类基因座将为干预的有效性提供信息
致力于减轻疟疾疾病负担。基因分型测定以识别患者样本中的寄生虫类型或
将开发向量类型以跟踪这些人群的变化,因为在
研究地点。基因分型核心将提供测序和基因分型资源,并分析
确定与干预响应和
疾病结果。基因组学核心将验证这些标记,并开发可替代的测定法
低成本且易于实施以跟踪疟疾结果作为消除的干预策略
应用疟疾。共享资源基因组学核心的核心组成部分将涉及训练疾病
特有国家科学家如何利用发现和工具的基因组序列和基因分型数据
随着社区范围的努力的发展增加了公开可用的测序和基因分型
疟疾寄生虫,肛门载体和人类宿主的数据,这是能力建设和
技术转移将是分析序列和基因分型数据所必需的技能的发展
将种群遗传方法应用于这些数据中的重要信号以帮助控制疟疾
措施和监视。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Sarah Kay Volkman其他文献
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