Host and Microbial Genetic Determinants of Febrile Illness in West Africa

西非发热性疾病的宿主和微生物遗传决定因素

• 批准号: 8738707
• 负责人: Christian T. Happi
• 金额: $ 20万
• 依托单位: REDEEMER'S UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-09-23 至 2017-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8738707
• 关键词: Africa; African; Automobile Driving; Collaborations; Communicable Diseases; Country; Diagnostic; Disease; Disease susceptibility; Falciparum Malaria; Fever; Fever of Unknown Origin; Foundations; Genetic; Genetic Determinism; Genomics; Health; Human Genetics; Infection; Institutes; Investments; Lassa Fever; Malaria; Metagenomics; Microbe; Microbial Genetics; Morbidity - disease rate; Nigeria; Patients; Research; Research Personnel; Research Project Grants; Sampling; Scientist; Senegal; Sierra Leone; Site; Technology; Training; Training Programs; Training Support; Universities; base; design; field study; genome wide association study; microbial; microbial host; mortality; pathogen; public health relevance; tool

DESCRIPTION (provided by applicant): This proposal aims to investigate host and microbial genomic determinants of febrile illness in West Africa and establish the West African GEnomic Research (WAGER) Network, consisting of West African Francophone and Anglophone centers of excellence in Nigeria, Sierra-Leone and Senegal. The partners in these three countries have a long-term track record of successful collaboration with each other and with US partners at the Broad Institute, Harvard University, and Tulane University studying the devastating diseases Lassa fever (LF) and Plasmodium falciparum malaria. Moreover, we have a demonstrated deep investment in capacity building and training of African scientists. We recognize that in order to truly participate in this genomic revolution, African researchers must be equipped not only to enable large-scale genomics projects, but also to carry out fully independent research projects, from beginning to end. Febrile illness in Africa is a devastating burden to the continent, and its study is a place in which both large-scale consortium projects and small field studies can have a major impact. In this proposal we will greatly enhance efforts for training and supporting cutting-edge genomics research on health in Africa. We will carry our annual rigorous trainings at the Broad Institute and at WAGER sites and develop them into a larger training program that can be used by all H3Africa partners. We will create a core genomics center at Redeemer's University with an lllumina MiSeq and lay the groundwork to collect 750 high quality samples from febrile patient per year from each of the three WAGER field sites. With these foundations in place, we will use both field-deployed and state-of-the-art genomic technology to identify pathogens driving febrile illness and to examine the genetic basis of infectious disease susceptibility. We will do this through four projects two of which are focused on field-deployable genomic diagnostics and can be carried out at the local sites. The projects are (1) Identifying Microbes Underlying Fever of Unknown Origin (FUO) Through Field Diagnostics; (2) Characterizing FUO through Microbial Metagenomics; (3) Examining Human Genetic Determinants of LF and Malaria; and (4) Identifying Human Genetic Determinants of LF Through Genome-Wide Association.

描述（由申请人提供）：该提案旨在调查西非发热性疾病的宿主和微生物基因组决定因素，并建立西非基因组研究（WAGER）网络，该网络由位于尼日利亚、塞拉利昂的西非法语和英语卓越中心组成。莱昂和塞内加尔。这三个国家的合作伙伴之间以及与布罗德研究所、哈佛大学和杜兰大学的美国合作伙伴在研究破坏性疾病拉沙热（LF）和恶性疟原虫疟疾方面有着长期的成功合作记录。此外，我们在非洲科学家的能力建设和培训方面投入了大量资金。我们认识到，为了真正参与这场基因组革命，非洲研究人员不仅必须具备能力实现大规模基因组学项目，而且必须自始至终开展完全独立的研究项目。非洲的发热性疾病对非洲大陆来说是毁灭性的负担，其研究是大型联合项目和小型实地研究都可以产生重大影响的地方。在这项提案中，我们将大力加强对非洲健康领域前沿基因组学研究的培训和支持。我们将在 Broad Institute 和 WAGER 站点进行年度严格培训，并将其发展成为可供所有 H3Africa 合作伙伴使用的更大的培训计划。我们将在救赎主大学创建一个配备 lllumina MiSeq 的核心基因组学中心，并为每年从三个 WAGER 现场站点收集 750 个发热患者的高质量样本奠定基础。有了这些基础，我们将使用现场部署的最先进的基因组技术来识别导致发热性疾病的病原体，并检查传染病易感性的遗传基础。我们将通过四个项目来实现这一目标，其中两个项目专注于可现场部署的基因组诊断，并且可以在当地进行。这些项目是（1）通过现场诊断识别不明原因发烧（FUO）背后的微生物； (2) 通过微生物宏基因组学表征 FUO； (3) 检查 LF 和疟疾的人类遗传决定因素； (4) 通过全基因组关联识别 LF 的人类遗传决定因素。