Tracking the flow of malaria parasites and drug resistance within the DRC and across its borders
追踪刚果民主共和国境内和跨境的疟原虫流动和耐药性
基本信息
- 批准号:10631852
- 负责人:
- 金额:$ 59.29万
- 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:2018-06-21 至 2024-05-31
- 项目状态:已结题
- 来源:
- 关键词:AdultAfricaAfrica South of the SaharaAfricanAmodiaquineAnti-malarial drug resistanceAntimalarialsAreaArtemisininsChildComputer softwareConflict (Psychology)CongoCountryDataData SetDemocratic Republic of the CongoDevelopmentDrug resistanceEpidemiologyEvolutionFalciparum MalariaFingerprintFrequenciesGenesGeneticGenetic MarkersGenetic VariationGenotypeGeographic LocationsGeographyGrantHaplotypesHealthcareIndividualInfectionInfrastructureInterventionLaboratoriesLinkLocalesLondonMalariaMapsMetadataModelingMolecularParasite resistanceParasitesParasitic infectionPatternPlasmodium falciparumPopulationPopulation GeneticsPrevalenceProvincePublic HealthResearch PersonnelResistanceResolutionRisk FactorsSamplingSiteSpatial DistributionStructureTanzaniaUgandaWorkZambiabiobankcollegedrug-sensitivegenomic locusimprovedin vivointerestmalaria infectionmigrationprogramspublic health interventionrepositoryresistance alleleresistance generesistance mutationresistant Plasmodium falciparumtargeted sequencingtoolwhole genome
项目摘要
ABSTRACT
Malaria remains endemic in sub-Saharan Africa in large part due to continued evolution and spread of drug
resistance which undermines ongoing large-scale control and elimination efforts. We will leverage
high-throughput genotyping of parasites using a state-of-the-art panel of molecular inversion probes (MIPs) for
targeted sequencing of thousands of resistance and neutral loci across thousands of infections covering the
entire Democratic Republic of Congo (DRC) and select areas in bordering countries. This will provide us a map
with an unprecedented scale and resolution to define the evolution and spread of antimalarial resistance
mutations. In this project, we will first develop our genotyping panel which should provide a high-resolution tool
for studying all known drug resistance loci and general parasite population structure in this and other settings.
Applying this to well annotated samples from across the DRC and bordering countries, we will define the
prevalence of drug resistance mutations and define them based on their genetic haplotypes which act as a
unique fingerprints. We will then map these drug resistance haplotypes and study their spread and spatial
associations and further examine their epidemiologic associations and interactions. Onto this detailed spatial
map, we will examine specific locales of interest for temporal changes. These focal regions in the DRC
represent diverse ecologic and demographic features that likely impact resistance spread and evolution
including areas with minimal health care infrastructure and ongoing regions of conflict. Our final work will be to
apply more sophisticated models to the rich sequence data in order to estimate the flow of parasites and
resistance mutations within and between the DRC. This includes the development of new population structure
models (MALECOT) incorporating parasite infections that have multiple strains allowing for a better
understanding of the full dataset as in polyclonal infections are often the majority in endemic African countries.
This model should be broadly applicable to other studies of malaria or infections with mixed strains. We will
also leverage spatially explicit models to define general parasite flow in both relative and absolute terms
comparing and contrasting to the flow of resistant parasites. This work will provide the patterns of general gene
flow and barriers on the spread of specific drug resistance alleles and haplotypes. In summary, not only will
this project enhance our understanding of malaria landscape genetics and the evolution and spread of
antimalarial resistance, it will provide tools and analysis framework for improving public health interventions
that will directly inform the DRC National Malaria Control Program.
摘要
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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JEFFREY A. BAILEY其他文献
JEFFREY A. BAILEY的其他文献
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{{ truncateString('JEFFREY A. BAILEY', 18)}}的其他基金
Artemisinin Resistance in Africa: its emergence and evolution in Rwanda
非洲青蒿素耐药性:卢旺达的出现和演变
- 批准号:
10462700 - 财政年份:2021
- 资助金额:
$ 59.29万 - 项目类别:
Artemisinin Resistance in Africa: its emergence and evolution in Rwanda
非洲青蒿素耐药性:卢旺达的出现和演变
- 批准号:
10670872 - 财政年份:2021
- 资助金额:
$ 59.29万 - 项目类别:
Tracking the flow of malaria parasites and drug resistance within the DRC and across its borders
追踪刚果民主共和国境内和跨境的疟原虫流动和耐药性
- 批准号:
10473084 - 财政年份:2021
- 资助金额:
$ 59.29万 - 项目类别:
Artemisinin Resistance in Africa: its emergence and evolution in Rwanda
非洲青蒿素耐药性:卢旺达的出现和演变
- 批准号:
10298909 - 财政年份:2021
- 资助金额:
$ 59.29万 - 项目类别:
Tracking the flow of malaria parasites and drug resistance within the DRC and across its borders
追踪刚果民主共和国境内和跨境的疟原虫流动和耐药性
- 批准号:
10631299 - 财政年份:2018
- 资助金额:
$ 59.29万 - 项目类别:
Tracking the flow of malaria parasites and drug resistance within the DRC and across its borders
追踪刚果民主共和国境内和跨境的疟原虫流动和耐药性
- 批准号:
9926081 - 财政年份:2018
- 资助金额:
$ 59.29万 - 项目类别:
Impacts of Environment, Host Genetics and Antigen Diversity on Malaria Vaccine Efficacy
环境、宿主遗传学和抗原多样性对疟疾疫苗功效的影响
- 批准号:
9906851 - 财政年份:2018
- 资助金额:
$ 59.29万 - 项目类别:
Impacts of Environment, Host Genetics and Antigen Diversity on Malaria Vaccine Efficacy
环境、宿主遗传学和抗原多样性对疟疾疫苗功效的影响
- 批准号:
10116256 - 财政年份:2018
- 资助金额:
$ 59.29万 - 项目类别:
Tracking the flow of malaria parasites and drug resistance within the DRC and across its borders
追踪刚果民主共和国境内和跨境的疟原虫流动和耐药性
- 批准号:
10721404 - 财政年份:2018
- 资助金额:
$ 59.29万 - 项目类别:
Impacts of Environment, Host Genetics and Antigen Diversity on Malaria Vaccine Efficacy
环境、宿主遗传学和抗原多样性对疟疾疫苗功效的影响
- 批准号:
10347326 - 财政年份:2018
- 资助金额:
$ 59.29万 - 项目类别:
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