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Last Updated: 10/11/2024
Building capacity for genomic surveillance to detect new evolutionary threats to malaria control in Africa
Objectives
The overall goal of this project is to accelerate the generation, use, and sharing of genomic data to detect and characterise new evolutionary threats to malaria control in Africa. By establishing this capacity, we will be able to detect any type of evolutionary change, aiding in surveillance for future malaria control interventions.
Specific objectives:
- develop tools and methods for analysing malaria parasite and vector genomic data
- conserve and expand existing parasite and vector genomic datasets
- support the MalariaGEN community
- develop a plan to transition the MalariaGEN management / governance and data resources to African leadership
Principal Institution
Principal Investigators / Focal Persons
Rationale and Abstract
This project will focus on accelerating the generation, use, and sharing of data from whole-genome sequencing (WGS) technologies which can detect adaptive changes occurring anywhere in the mosquito or parasite genomes. This is necessary because new control tools create novel selective pressures on malaria vector and parasite populations, and it is not possible to predict with certainty which genes and mutations will evolve in response.
External reference
Thematic Categories
Genetics and Genomics
Information Systems
Leadership & Governance
Surveillance
Date
Apr 2024 — Mar 2027
Total Project Funding
$5M
Funding Details
Bill and Melinda Gates Foundation (BMGF), United States
Grant ID: INV-068808
Project Site
Related Resources
