TY - JOUR
T1 - Target product profiles of laboratory and data analytical frameworks for genotyping to monitor antimalarial efficacy
AU - Plucinski, Mateusz M.
AU - Wesolowski, Amy
AU - Gerlovina, Inna
AU - Taylor, Aimee R.
AU - Briggs, Jessica
AU - Aranda-Diaz, Andres
AU - Golumbeanu, Monica
AU - Bajic, Marko
AU - Bailey, Jeffrey A.
AU - Barratt, Joel L. N.
AU - Buckee, Caroline
AU - Deme, Awa B.
AU - Felger, Ingrid
AU - Ghansah, Anita
AU - Hastings, Ian
AU - Kattenberg, Johanna Helena
AU - Mayor, Alfredo
AU - Menard, Didier
AU - Moriarty, Leah F.
AU - Neafsey, Daniel
AU - Okell, Lucy
AU - Oyier, Isabella
AU - Raman, Jaishree
AU - Rosenthal, Philip J.
AU - Rosanas-Urgell, Anna
AU - Verity, Robert
AU - Volkman, Sarah K.
AU - Nsanzabana, Christian
AU - Greenhouse, Bryan
N1 - Copyright: This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.
PY - 2026/5/29
Y1 - 2026/5/29
N2 - 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.
AB - 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.
KW - Plasmodium-falciparum
KW - Recrudescence
KW - Reinfection
KW - Resistance
KW - Africa
KW - Pcr
UR - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=itm_wosliteitg&SrcAuth=WosAPI&KeyUT=WOS:001780121200003&DestLinkType=FullRecord&DestApp=WOS_CPL
U2 - 10.1371/journal.pgph.0006500
DO - 10.1371/journal.pgph.0006500
M3 - A1: Peer-reviewed journal articles
C2 - 42213656
SN - 2767-3375
VL - 6
JO - PLoS Global Public Health
JF - PLoS Global Public Health
IS - 5
M1 - e0006500
ER -