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

Rosado, J; Han, J; Obadia, T; Munro, J; Traore, Z; Schoffer, K; Brewster, J; Bourke, C; Vinetz, JM; Taylor, AR; White, M; Bahlo, M; Gamboa, D; Mueller, I; Ruybal-Pes&#225;ntez, S

Author(s): Rosado, J; Han, J; Obadia, T; Munro, J; Traore, Z; Schoffer, K; Brewster, J; Bourke, C; Vinetz, JM; Taylor, AR; White, M; Bahlo, M; Gamboa, D; Mueller, I; Ruybal-Pesántez, S;
Details: Publication Year 2026-05-15,Volume 29,Issue #5,Page 115799
Journal Title: iScience
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.
Publisher: Elsevier
Keywords: Diagnostics; Parasitology
Research Division(s): Genetics and Gene Regulation; Inflammation; Infection and Global Health
PubMed ID: 42111217
Publisher's Version: https://doi.org/10.1016/j.isci.2026.115799
Open Access at Publisher's Site: https://doi.org/10.1016/j.isci.2026.115799
Terms of Use/Rights Notice: Refer to copyright notice on published article.

Creation Date: 2026-05-14 03:10:45

Last Modified: 2026-05-14 03:10:54