Evidence map›Paper›PMID 39875533›Full record

ArticleScientific reports2025

An integrated approach to predict genetic risk for Mosquito-Borne diseases in the local Population of Tehsil Haripur, Khyber Pakhtunkhwa, Pakistan.

Rabea Basri, Muslim Bin Aqeel, Faryal Mehwish Awan, Sadiq Noor Khan, Ayesha Obaid, Rubina Parveen, Muhammad Mohsin, Wajeeha Akhtar, Abdal Hussain Shah, Tahira Sher Afghan and 3 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 1 paper.

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

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

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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

13 authors.

Rabea BasriDepartment of Medical Lab Technology, The University of Haripur (UOH), Haripur, Khyber Pakhtunkhwa, Pakistan.
Muslim Bin AqeelDepartment of Microbiology, Faculty of Science and Technology, University of Central Punjab, Lahore, Pakistan.
Faryal Mehwish AwanDepartment of Medical Lab Technology, The University of Haripur (UOH), Haripur, Khyber Pakhtunkhwa, Pakistan. faryal.mehwish@uoh.edu.pk.
Sadiq Noor KhanDepartment of Medical Lab Technology, The University of Haripur (UOH), Haripur, Khyber Pakhtunkhwa, Pakistan. snkhan@uoh.edu.pk.
Ayesha ObaidDepartment of Medical Lab Technology, The University of Haripur (UOH), Haripur, Khyber Pakhtunkhwa, Pakistan.
Rubina ParveenDepartment of Medical Lab Technology, The University of Haripur (UOH), Haripur, Khyber Pakhtunkhwa, Pakistan.
Muhammad MohsinMedical Research Center, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Wajeeha AkhtarDepartment of Medical Lab Technology, The University of Haripur (UOH), Haripur, Khyber Pakhtunkhwa, Pakistan.
Abdal Hussain ShahDepartment of Medical Lab Technology, The University of Haripur (UOH), Haripur, Khyber Pakhtunkhwa, Pakistan.
Tahira Sher AfghanDepartment of Medical Lab Technology, The University of Haripur (UOH), Haripur, Khyber Pakhtunkhwa, Pakistan.
Amir AlamThe Second Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Saira KhanDepartment of Medical Lab Technology, The University of Haripur (UOH), Haripur, Khyber Pakhtunkhwa, Pakistan.
Anam NazInstitute of Molecular Biology and Biotechnology (IMBB), The University of Lahore (UOL), Lahore, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Highly variable response shown by individuals against mosquito-borne infections suggests that host genetic factors play an important role in determining mosquito-borne disease onset. Therefore, it is necessary to determine the genetic risk of these diseases in specific populations. The current study aimed to determine the percentage of individuals in the general population carrying mosquito-borne disease susceptibility and protection-related variants. This study initially aggregated mosquito-borne disease susceptibility and protection-related variants from all publically available data and literature. Afterward, the allele frequency was calculated 1009 genetic variants of 366 genes associated with susceptibility and protection to estimate the global prevalence in multiple ethnicities (Middle Eastern, Ashkenazi Jewish, European (Non-Finnish), Latino/Admixed American, South Asian, East Asian, European (Finnish), North Asian, Southeast Asian, African American, and Swedish population). Furthermore, the cumulative allele frequency of all susceptibility and protection-related variants was calculated in diverse ethnic groups and the relationship with mosquito-borne disease-associated morbidity and mortality was examined to determine whether results are consistent with founder effect in these populations. Two prioritized genetic variants of IL-10 (rs1800871) and FcγRIIA (rs1801274) were examined in the Tehsil Haripur population to assess the genetic risks linked to susceptibility and protection against mosquito-borne diseases. The findings of this study revealed overlapping genes most implicated in mosquito-borne disease linked with susceptibility and protection across different ethnic ancestries. In the available sample size, the percentage of TC and TT genotypes in IL-10 genetic variant (rs1800871) was 12% and 88%, respectively and GA and GG genotypes in FcγRIIA(rs1801274) genetic variant were 6% and 94% respectively. Based on statistical analysis, the percentage allele frequency of IL-10 (rs1800871) variant was 0.2112% and the FcγRIIA (rs1801274) variant is 0.1128% in the current study. Additionally, this study reflects that screening of genetic variants associated with susceptibility and protection in a population gives better insights into organizing public health awareness campaigns to control diseases.

Indexed as

Genetic Predisposition to DiseaseVector Borne DiseasesAnimalsCulicidaeGene FrequencyHumansInterleukin-10Mosquito-Borne DiseasesPakistanPolymorphism, Single NucleotideIL10 protein, humanInterleukin-10Allele frequency in PakistanARMS-PCRGenetic factorsMosquito-Borne diseases

Identifiers

PMID39875533
PMCPMC11775262

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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.