Evidence map›Paper›PMID 42625514›Full record

ArticleGenetics2026

Impact of naturally occurring target-site polymorphisms on an autonomous Cas9/guide RNA-based gene drive system for population modification of Anopheles gambiae s.l.

Rebeca Carballar-Lejarazú, Brian McNeely, Yuemei Dong, Thai Binh Pham, Taylor Tushar, Isaac Owusu-Frimpong, George Dimopoulos, Anthony A James

Abstract read
In one paragraph

Article in Genetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Rebeca Carballar-LejarazúDepartment of Microbiology & Molecular Genetics, University of California, Irvine, Irvine, CA 92697-4025, United States.
Brian McNeelyDepartment of Microbiology & Molecular Genetics, University of California, Irvine, Irvine, CA 92697-4025, United States.
Yuemei DongW. Harry Feinstone Department of Molecular Microbiology and Immunology, Bloomberg School of Public Health, Malaria Research Institute, Johns Hopkins University, Baltimore, MD 21205, United States.
Thai Binh PhamDepartment of Microbiology & Molecular Genetics, University of California, Irvine, Irvine, CA 92697-4025, United States.
Taylor TusharDepartment of Microbiology & Molecular Genetics, University of California, Irvine, Irvine, CA 92697-4025, United States.
Isaac Owusu-FrimpongW. Harry Feinstone Department of Molecular Microbiology and Immunology, Bloomberg School of Public Health, Malaria Research Institute, Johns Hopkins University, Baltimore, MD 21205, United States.
George DimopoulosW. Harry Feinstone Department of Molecular Microbiology and Immunology, Bloomberg School of Public Health, Malaria Research Institute, Johns Hopkins University, Baltimore, MD 21205, United States.ORCID 0000-0001-6755-8111
Anthony A JamesDepartment of Microbiology & Molecular Genetics, University of California, Irvine, Irvine, CA 92697-4025, United States.ORCID 0000-0001-5577-3308

Funding

Impact of gene-drive systems for population modification on malaria vector mosquitoesR01AI170692 · NIAID · UNIVERSITY OF CALIFORNIA-IRVINE · PI DIMOPOULOS, GEORGE, JAMES, ANTHONY A. · 2023 to 2025
$3.2M
Bill & Melinda Gates Foundation INV-043645Bill & Melinda Gates Foundation INV-043645Bloomberg PhilanthropiesNational Institute of Allergy and Infectious Diseases NIAID R01 AI170692NIAID NIH HHS R01 AI170692University of California Irvine Malaria Initiative
6 · The paper itself

Abstract

Malaria remains a significant global health challenge with an estimated 282 million cases reported in 2024. CRISPR/Cas9-based gene-drive systems have emerged as promising tools to block Plasmodium transmission by mosquito vectors. The TP13 drive system targets the Anopheles gambiae cardinal (Agcd) gene and carries 2 engineered monoclonal antibodies to achieve rapid population modification to prevent parasite transmission. Previous cage trials demonstrated complete drive introduction in 3 to 6 generations and supported modeling predicting a potential >90% reduction in malaria incidence under optimal conditions. However, naturally-occurring genetic polymorphisms in wild mosquito populations, particularly single-nucleotide polymorphisms (SNPs) within Cas9/guide RNA target sites, pose a potential barrier to drive efficiency. High genetic diversity in An. gambiae results in drive-system target-site variants, including an A→T transversion in the Agcd gene, which occurs at high frequencies in African populations and could affect TP13 drive dynamics. The impact of this and other SNPs on TP13 performance were assessed by establishing 3 An. gambiae Ndokayo lines, 1 with the wild-type Agcd and 2 with homozygous SNP haplotypes. We evaluated drive conversion rates in vivo, population dynamics in cage trials, fitness costs, and parasite suppression efficacy. No negative effects on drive performance and parasite suppression were observed. The results provide insights into the influence of naturally-occurring polymorphisms on gene drive propagation, informing safety, efficacy, and target product profile requirements for advancing gene-drive mosquitoes toward field trials.

Indexed as

AnophelesCRISPR-Cas SystemsGene Drive TechnologyPolymorphism, Single NucleotideRNA, Guide, CRISPR-Cas SystemsAnimalsMalariaMosquito VectorsRNA, Guide, CRISPR-Cas SystemsCRISPRHDR efficacymosquitoSNPstarget site

Identifiers

PMID42625514
PMCPMC13643801

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.