Sequencing and Genomics Cores
测序和基因组核心
基本信息
- 批准号:8300973
- 负责人:
- 金额:$ 17.22万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2011
- 资助国家:美国
- 起止时间:2011-07-01 至 2017-06-30
- 项目状态:已结题
- 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 illnesscostdrug testinggenetic analysisgenetic variantgenome sequencinggenome wide association studygenome-widegenotyping technologyin vivointerestmeetingsmeltingnext generationnovelnovel 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 publically 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.
基因组学核心将进行基因分型和群体遗传分析,以识别
信息丰富的生物标志物对于本提案中的所有研究项目至关重要。本提案的共同主题
是识别疟疾寄生虫、媒介和人类宿主的遗传变异,并将这种遗传变异与
了解疟疾传播并制定有效的疟疾控制措施。全基因组
寄生虫和载体的方法将提供发现遗传变异所需的信息
与寄生虫耐药性和蚊子杀虫剂耐药性相关的信号。
对与寄生虫耐药性、载体杀虫剂耐药性相关的特定位点进行基因分型,以及
血红蛋白或其他与疟疾结果相关的人类基因座将告知干预措施的有效性
旨在减少疟疾疾病负担。基因分型测定可识别患者样本中的寄生虫类型或
随着干预策略的应用,将开发载体类型来跟踪这些人群的变化
学习网站。基因分型核心将提供测序和基因分型资源以及分析
确定这些人群中与干预反应相关的信息最丰富的标记的资源,
疾病结果。基因组学核心将验证这些标记并开发可现场部署的检测方法
低成本且易于实施,用于跟踪疟疾结果,作为消灭疟疾的干预策略
疟疾的应用。共享资源基因组学核心的核心组成部分将涉及疾病培训
流行国家科学家如何利用基因组序列和基因分型数据进行发现和工具
随着社区范围内的努力增加公开测序和基因分型的数量
疟疾寄生虫、按蚊媒介和人类宿主的数据,是能力建设和
技术转让将是分析序列和基因分型数据所需的技能的发展,
应用群体遗传学方法从这些数据中收集重要信号,以协助控制疟疾
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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{{ truncateString('Sarah Kay Volkman', 18)}}的其他基金
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