Evidence map›Paper›PMID 41087422›Full record

ArticleScientific reports2025

Genetic isolation drives divergent insecticide resistance between coastal and western Kenya Anopheles funestus populations.

Brian Polo, Sylvia Milanoi, Diana N Omoke, Cynthia Awuor Odhiambo, Sanjay C Nagi, Joachim Nwezeobi, Alexey I Makunin, Marilou Boddé, Bernard Abong'o, Janet Midega and 5 more

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Genomic signatures of selection inbioRxiv : the preprint server for biology · 2026
    Article
  3. Article
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

15 authors.

Brian PoloKenya Medical Research Institute, Centre for Global Health Research, Kisumu, Kenya. otienobrn09@gmail.com.
Sylvia MilanoiKenya Medical Research Institute, Centre for Global Health Research, Kisumu, Kenya.
Diana N OmokeKenya Medical Research Institute, Centre for Global Health Research, Kisumu, Kenya.
Cynthia Awuor OdhiamboKenya Medical Research Institute, Centre for Global Health Research, Kisumu, Kenya.
Sanjay C NagiDepartment of Vector Biology, Liverpool School of Tropical Medicine, Pembroke Place, Liverpool, L3 5QA, UK.
Joachim NwezeobiWellcome Sanger Institute, Hinxton, UK.
Alexey I MakuninWellcome Sanger Institute, Hinxton, UK.
Marilou BoddéWellcome Sanger Institute, Hinxton, UK.
Bernard Abong'oKenya Medical Research Institute, Centre for Global Health Research, Kisumu, Kenya.
Janet MidegaKEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.
Luna KamauCenter for Biotechnology Research and Development, Kenya Medical Research Institute, Nairobi, Kenya.
Daniel OnguruDepartment of Biomedical Sciences, Jaramogi Oginga University of Science and Technology, Bondo, Kenya.
Alistair MilesVector Genomic Surveillance Unit, Wellcome Trust Sanger Institute, Hinxton, Cambridge, UK.
Mara LawniczakWellcome Sanger Institute, Hinxton, UK.
Eric OchomoKenya Medical Research Institute, Centre for Global Health Research, Kisumu, Kenya. ericochomo@yahoo.com.

Funding

Genome-based diagnostics for monitoring and evaluation of insecticide resistance in Anopheles gambiaeR01AI116811 · NIAID · TMLIVERPOOL SCHOOL OF TROPICAL MEDICINE · PI Martin James Donnelly · 2016 to 2026
$4.6M
Bill and Melinda Gates Foundation Grand Challenges Grant INV024969Gates Foundation INV-001927Gates Foundation INV-024969Gates Foundation INV-031595NIAID NIH HHS R01 AI116811Wellcome Sanger Institute Quinquennial Review 2021-2026 220540/Z/20/AWellcome Trust
6 · The paper itself

Abstract

Escalating levels of insecticide resistance and adaptive changes in mosquito populations threaten recent gains in malaria control. Understanding the molecular, ecological, and evolutionary processes driving these transformations is important for extending the effectiveness of current insecticides and informing the development of effective strategies and tools for vector control and insecticide resistance management. This study analyzed 103 whole-genome sequences from Anopheles funestus s.s. mosquitoes collected before the implementation of non-pyrethroid-based vector control tools in Kenya in 2017. Mosquito samples were collected from the western Kenya region (Bungoma, Migori and Kisumu Counties), the region with the highest malaria prevalence and the coastal region (Kilifi County), which has the second-highest malaria prevalence in Kenya. The study determined the population structure, evaluated the presence of insecticide-resistant alleles associated with pyrethroid insecticides and identified patterns of gene flow. Based on our results, Anopheles funestus s.s. from the western Kenya region were highly differentiated from the coastal population with a mean F

Indexed as

AnophelesInsecticide ResistanceMosquito VectorsAnimalsGene FlowInsecticidesKenyaMalariaPyrethrinsInsecticidesPyrethrinsAnopheles funestusGenetic isolation.Great rift valleyInsecticide resistancePopulation structure

Identifiers

PMID41087422
PMCPMC12521475

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.