Target product profiles of laboratory and data analytical frameworks for genotyping to monitor antimalarial efficacy

Therapeutic efficacy studies (TESs) are the standard to evaluate antimalarial drug efficacy and guide malaria treatment policy. TESs are particularly relevant now, with resistance to first-line regimens emerging in sub-Saharan Africa. For TESs, a range of parasite genotyping and data analyses are available for genotype correction, a process to distinguish whether recurrent parasitemia after therapy is due to recrudescence of initially infecting parasites (treatment failure) or a new infection. The choice of methods for laboratory genotyping and data analyses can have a large effect on how outcomes are classified, and thereby on trial results. The currently recommended and most widely used laboratory and analytical methods for TES genotyping do not incorporate recent methodological advances and can produce biased results. As such current TES results can be difficult to interpret, especially in areas with high malaria transmission, such as much of sub-Saharan Africa. Thus, improving the accuracy and reliability of TES genotyping and data analysis are a major priority. To that end, we present target product profiles that outline key specifications for genetic data generation, processing, and data analysis, with the goal of creating rigorous and consistent community standards. Primary recommended specifications for laboratory methods include high sensitivity, specificity, and reproducibility, and guidance on the number and genetic diversity of targets; criteria which are best and likely only met by amplicon sequencing. Primary recommendations for data analysis methods include high classification accuracy, accounting for errors in genotyping, and accounting for alleles matching by chance. All laboratory and data analysis methods used should be systematically validated and publicly documented so that TES results, which have major policy implications, can be relied upon for sound programmatic decision making.

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Publication Details

Journal
PLOS Global Public Health
Published
2026-05-29
DOI
https://doi.org/10.1371/journal.pgph.0006500
Primary Topic
Malaria Research and Control
Type
article
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article

Target product profiles of laboratory and data analytical frameworks for genotyping to monitor antimalarial efficacy

Christian Nsanzabana, Aimee R. Taylor, Joel Barratt, Leah F. Moriarty et al.
PLOS Global Public Health
Malaria Research and Control
article

Target product profiles of laboratory and data analytical frameworks for genotyping to monitor antimalarial efficacy

Christian Nsanzabana, Aimee R. Taylor, Joel Barratt, Leah F. Moriarty, Ingrid Felger, Jaishree Raman, Marko Bajic, Mateusz M. Pluciński, Ian Hastings, Monica Golumbeanu, Awa B. Dème, Alfredo Mayor, Sarah K. Volkman, Anita Ghansah, Amy Wesolowski, Jeffrey A. Bailey, Jessica Briggs, Philip J. Rosenthal, Johanna Helena Kattenberg, Lucy Okell, Daniel Neafsey, Inna Gerlovina, Robert Verity, Didier Menard, Bryan Greenhouse, Caroline Buckee, Anna Rosanas-Urgell, Andrés Aranda-Díaz, Isabella Oyier
article en

Abstract

Therapeutic efficacy studies (TESs) are the standard to evaluate antimalarial drug efficacy and guide malaria treatment policy. TESs are particularly relevant now, with resistance to first-line regimens emerging in sub-Saharan Africa. For TESs, a range of parasite genotyping and data analyses are available for genotype correction, a process to distinguish whether recurrent parasitemia after therapy is due to recrudescence of initially infecting parasites (treatment failure) or a new infection. The choice of methods for laboratory genotyping and data analyses can have a large effect on how outcomes are classified, and thereby on trial results. The currently recommended and most widely used laboratory and analytical methods for TES genotyping do not incorporate recent methodological advances and can produce biased results. As such current TES results can be difficult to interpret, especially in areas with high malaria transmission, such as much of sub-Saharan Africa. Thus, improving the accuracy and reliability of TES genotyping and data analysis are a major priority. To that end, we present target product profiles that outline key specifications for genetic data generation, processing, and data analysis, with the goal of creating rigorous and consistent community standards. Primary recommended specifications for laboratory methods include high sensitivity, specificity, and reproducibility, and guidance on the number and genetic diversity of targets; criteria which are best and likely only met by amplicon sequencing. Primary recommendations for data analysis methods include high classification accuracy, accounting for errors in genotyping, and accounting for alleles matching by chance. All laboratory and data analysis methods used should be systematically validated and publicly documented so that TES results, which have major policy implications, can be relied upon for sound programmatic decision making.

PLOS Global Public HealthVol. 6(5)
Broad Institute (US), Centers for Disease Control and Prevention (US), Massachusetts Department of Public Health (US), Harvard University (US), University of Ghana (GH), Johns Hopkins University (US), Emory University (US), Inserm (FR), Institut Pasteur (FR), Swiss Tropical and Public Health Institute (CH), Simmons University (US), University of California, San Francisco (US), University of Basel (CH), Institut Universitaire de France (FR), University of the Witwatersrand (ZA), Liverpool School of Tropical Medicine (GB), Université Paris Cité (FR), Brown University (US), Kenya Medical Research Institute (KE), Noguchi Memorial Institute for Medical Research (GH), Institute of Health Research, Epidemiological Surveillance and Training (SN), Manhiça Health Research Centre (MZ), Barcelona Institute for Global Health (ES), National Institute for Communicable Diseases, Imperial College London (GB), Université de Strasbourg (FR), University of Pretoria (ZA), University of San Francisco (US), Instituut voor Tropische Geneeskunde (BE)
Good health and well-being
Openalex Percentile: Top 5%
Malaria Research and Control
DOIOpen Access PDFOpenAlex
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