ArticleCommunications biology2022
A molecular barcode and web-based data analysis tool to identify imported Plasmodium vivax malaria.
Article in Communications biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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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.
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Who cites it
18 citing papers in PubMed, 27 citations in OpenAlex.
- Microhaplotype deep sequencing assays to capture Plasmodium vivax infection lineages.Nature communications · 2025Trial
- Building the toolkit to address malaria resurgence and radical cure of vivax malaria in Ethiopia: a meeting report.Malaria journal · 2026Article
- Spatiotemporal differentiation of Plasmodium vivax populations in the western Greater Mekong Subregion using a 22-SNP barcode.PLoS neglected tropical diseases · 2026Article
- PvGTSeq and PvCRiSP: Two amplicon-based targeted sequencing panels for Plasmodium vivax.PLoS neglected tropical diseases · 2026Article
- Genomics in Epidemiology and Disease Surveillance: An Exploratory Analysis.Life (Basel, Switzerland) · 2025Review
- Article
- Genetic characterization ofLancet regional health. Americas · 2025Article
- Analysis-ready VCF at Biobank scale using Zarr.bioRxiv : the preprint server for biology · 2025Article
- Analysis-ready VCF at Biobank scale using Zarr.GigaScience · 2025Article
- Detecting imported malaria infections in endemic settings using molecular surveillance: current state and challenges.Frontiers in epidemiology · 2025Review
- Geo-classification of drug-resistant travel-associatedAntimicrobial agents and chemotherapy · 2024Article
- High-throughput genotyping of Plasmodium vivax in the Peruvian Amazon via molecular inversion probes.Nature communications · 2024Article
- Lineage-informative microhaplotypes for recurrence classification and spatio-temporal surveillance of Plasmodium vivax malaria parasites.Nature communications · 2024Article
- Plasmodium vivax genomic surveillance in the Peruvian Amazon with Pv AmpliSeq assay.PLoS neglected tropical diseases · 2024Article
- Imported malaria into Australia: surveillance insights and opportunities.Journal of travel medicine · 2024Article
- Analytic Approaches in Genomic Epidemiological Studies of Parasitic Protozoa.Transboundary and emerging diseases · 2024Review
- Comparing newly developed SNP barcode panels with microsatellites to explore population genetics of malaria parasites in the Peruvian Amazon.Frontiers in genetics · 2024Article
- minSNPs: an R package for the derivation of resolution-optimised SNP sets from microbial genomic data.PeerJ · 2023Article
Corrections and comments
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Authors and funding
62 authors at 20 institutions in 21 countries.
Funding
Abstract
Traditionally, patient travel history has been used to distinguish imported from autochthonous malaria cases, but the dormant liver stages of Plasmodium vivax confound this approach. Molecular tools offer an alternative method to identify, and map imported cases. Using machine learning approaches incorporating hierarchical fixation index and decision tree analyses applied to 799 P. vivax genomes from 21 countries, we identified 33-SNP, 50-SNP and 55-SNP barcodes (GEO33, GEO50 and GEO55), with high capacity to predict the infection's country of origin. The Matthews correlation coefficient (MCC) for an existing, commonly applied 38-SNP barcode (BR38) exceeded 0.80 in 62% countries. The GEO panels outperformed BR38, with median MCCs > 0.80 in 90% countries at GEO33, and 95% at GEO50 and GEO55. An online, open-access, likelihood-based classifier framework was established to support data analysis (vivaxGEN-geo). The SNP selection and classifier methods can be readily amended for other use cases to support malaria control programs.
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Registered trials
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 Socratic graph.