The potential of gene drives in malaria vector species to control malaria in African environments

Gene drives are a promising means of malaria control with the potential to cause sustained reductions in transmission. In real environments, however, their impacts will depend on local ecological and epidemiological factors. We develop a data-driven model to investigate the impacts of gene drives that causes vector population suppression. We simulate gene drive releases in sixteen ~ 12,000 km<sup>2</sup> areas of west Africa that span variation in vector ecology and malaria prevalence, and estimate reductions in vector abundance, malaria prevalence and clinical cases. Average reductions in vector abundance ranged from 71.6-98.4% across areas, while impacts on malaria depended strongly on which vector species were targeted. When other new interventions including RTS,S vaccination and pyrethroid-PBO bednets were in place, at least 60% more clinical cases were averted when gene drives were added, demonstrating the benefits of integrated interventions. Our results show that different strategies for gene drive implementation may be required across different African settings.

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Publication Details

Journal
Nature Communications
Published
2024-10-17
DOI
https://doi.org/10.1038/s41467-024-53065-z
Citations
29
Primary Topic
CRISPR and Genetic Engineering
Type
article
Field-Weighted Citation Impact
6.78

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article

The potential of gene drives in malaria vector species to control malaria in African environments

Azra C. Ghani, Austin Burt, John Mumford, Penelope A. Hancock et al.
29 citations
Nature Communications
CRISPR and Genetic Engineering
6.78
article

The potential of gene drives in malaria vector species to control malaria in African environments

Azra C. Ghani, Austin Burt, John Mumford, Penelope A. Hancock, H. Charles J. Godfray, Peter Winskill, Ace North, Adrian W. Leach
article en
29 citations

Abstract

Gene drives are a promising means of malaria control with the potential to cause sustained reductions in transmission. In real environments, however, their impacts will depend on local ecological and epidemiological factors. We develop a data-driven model to investigate the impacts of gene drives that causes vector population suppression. We simulate gene drive releases in sixteen ~ 12,000 km<sup>2</sup> areas of west Africa that span variation in vector ecology and malaria prevalence, and estimate reductions in vector abundance, malaria prevalence and clinical cases. Average reductions in vector abundance ranged from 71.6-98.4% across areas, while impacts on malaria depended strongly on which vector species were targeted. When other new interventions including RTS,S vaccination and pyrethroid-PBO bednets were in place, at least 60% more clinical cases were averted when gene drives were added, demonstrating the benefits of integrated interventions. Our results show that different strategies for gene drive implementation may be required across different African settings.

Nature CommunicationsVol. 15(1)
University of Oxford (GB), Imperial College London (GB)
Bill and Melinda Gates Foundation, Open Philanthropy Project, Medical Research Council, European and Developing Countries Clinical Trials Partnership
Good health and well-being
Openalex Percentile: Top 2%
CRISPR and Genetic Engineering
6.78
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