Understanding Plasmodium vivax recurrent infections using an amplicon deep sequencing assay, identity-by-descent and model-based classification

Plasmodium
Amplicon sequencing
Population Genetics
Authors

Jason Rosado

Jiru Han

Thomas Obadia

Jacob Munro

Zeinabou Traore

Kael Schoffer

Jessica Brewster

Caitlin Bourke

Joseph M. Vinetz

Aimee R. Taylor

Michael White

Melanie Bahlo

Dionicia Gamboa

Ivo Mueller

Shazia Ruybal-Pesántez

Date

April 18, 2026

Links
DOI
Citation stats
Abstract

Understanding the genetic relatedness of Plasmodium vivax recurrences is essential for distinguishing between relapse, reinfection, and recrudescence—a distinction critical for evaluating treatment efficacy and transmission dynamics. We developed P. vivax AmpSeq (PvAmpSeq), an amplicon sequencing assay targeting 11 single-nucleotide polymorphism (SNP)-rich genomic regions. PvAmpSeq was applied to field isolates from a clinical trial in the Solomon Islands and a longitudinal cohort in Peru, and statistical models were applied for the genetic classification of recurrences. In the Solomon Islands trial, where participants received antimalarials at baseline, half of the recurrent infections showed >50% identity-by-descent relatedness to baseline parasites, allowing statistical classification as probable relapses and recrudescences, although with wide uncertainty. In the Peruvian cohort, 68% of the recurrences exhibited <25% relatedness. PvAmpSeq provides high-resolution genotyping to characterize P. vivax recurrences, offering insights into transmission and treatment outcomes. We also discuss the nuances and limitations of available statistical methods for the classification of P. vivax genotyping data.

Citation

BibTeX citation:
@article{rosado2026,
  author = {Rosado, Jason and Han, Jiru and Obadia, Thomas and Munro,
    Jacob and Traore, Zeinabou and Schoffer, Kael and Brewster, Jessica
    and Bourke, Caitlin and M. Vinetz, Joseph and R. Taylor, Aimee and
    White, Michael and Bahlo, Melanie and Gamboa, Dionicia and Mueller,
    Ivo and Ruybal-Pesántez, Shazia},
  title = {Understanding {Plasmodium} Vivax Recurrent Infections Using
    an Amplicon Deep Sequencing Assay, Identity-by-Descent and
    Model-Based Classification},
  journal = {iScience},
  volume = {29},
  number = {5},
  date = {2026-04-18},
  url = {https://doi.org/10.1016/j.isci.2026.115799},
  doi = {10.1016/j.isci.2026.115799},
  langid = {en},
  abstract = {Understanding the genetic relatedness of Plasmodium vivax
    recurrences is essential for distinguishing between relapse,
    reinfection, and recrudescence—a distinction critical for evaluating
    treatment efficacy and transmission dynamics. We developed P. vivax
    AmpSeq (PvAmpSeq), an amplicon sequencing assay targeting 11
    single-nucleotide polymorphism (SNP)-rich genomic regions. PvAmpSeq
    was applied to field isolates from a clinical trial in the Solomon
    Islands and a longitudinal cohort in Peru, and statistical models
    were applied for the genetic classification of recurrences. In the
    Solomon Islands trial, where participants received antimalarials at
    baseline, half of the recurrent infections showed \textgreater50\%
    identity-by-descent relatedness to baseline parasites, allowing
    statistical classification as probable relapses and recrudescences,
    although with wide uncertainty. In the Peruvian cohort, 68\% of the
    recurrences exhibited \textless25\% relatedness. PvAmpSeq provides
    high-resolution genotyping to characterize P. vivax recurrences,
    offering insights into transmission and treatment outcomes. We also
    discuss the nuances and limitations of available statistical methods
    for the classification of P. vivax genotyping data.}
}
For attribution, please cite this work as:
Rosado, Jason, Jiru Han, Thomas Obadia, et al. 2026. “Understanding Plasmodium Vivax Recurrent Infections Using an Amplicon Deep Sequencing Assay, Identity-by-Descent and Model-Based Classification.” iScience 29 (5). https://doi.org/10.1016/j.isci.2026.115799.