Genetic surveillance in the Greater Mekong subregion and South Asia to support malaria control and elimination

Autor: Christopher G Jacob, Nguyen Thuy-Nhien, Mayfong Mayxay, Richard J Maude, Huynh Hong Quang, Bouasy Hongvanthong, Viengxay Vanisaveth, Thang Ngo Duc, Huy Rekol, Rob van der Pluijm, Lorenz von Seidlein, Rick Fairhurst, François Nosten, Md Amir Hossain, Naomi Park, Scott Goodwin, Pascal Ringwald, Keobouphaphone Chindavongsa, Paul Newton, Elizabeth Ashley, Sonexay Phalivong, Rapeephan Maude, Rithea Leang, Cheah Huch, Le Thanh Dong, Kim-Tuyen Nguyen, Tran Minh Nhat, Tran Tinh Hien, Hoa Nguyen, Nicole Zdrojewski, Sara Canavati, Abdullah Abu Sayeed, Didar Uddin, Caroline Buckee, Caterina I Fanello, Marie Onyamboko, Thomas Peto, Rupam Tripura, Chanaki Amaratunga, Aung Myint Thu, Gilles Delmas, Jordi Landier, Daniel M Parker, Nguyen Hoang Chau, Dysoley Lek, Seila Suon, James Callery, Podjanee Jittamala, Borimas Hanboonkunupakarn, Sasithon Pukrittayakamee, Aung Pyae Phyo, Frank Smithuis, Khin Lin, Myo Thant, Tin Maung Hlaing, Parthasarathi Satpathi, Sanghamitra Satpathi, Prativa K Behera, Amar Tripura, Subrata Baidya, Neena Valecha, Anupkumar R Anvikar, Akhter Ul Islam, Abul Faiz, Chanon Kunasol, Eleanor Drury, Mihir Kekre, Mozam Ali, Katie Love, Shavanthi Rajatileka, Anna E Jeffreys, Kate Rowlands, Christina S Hubbart, Mehul Dhorda, Ranitha Vongpromek, Namfon Kotanan, Phrutsamon Wongnak, Jacob Almagro Garcia, Richard D Pearson, Cristina V Ariani, Thanat Chookajorn, Cinzia Malangone, T Nguyen, Jim Stalker, Ben Jeffery, Jonathan Keatley, Kimberly J Johnson, Dawn Muddyman, Xin Hui S Chan, John Sillitoe, Roberto Amato, Victoria Simpson, Sonia Gonçalves, Kirk Rockett, Nicholas P Day, Arjen M Dondorp, Dominic P Kwiatkowski, Olivo Miotto
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: eLife, Vol 10 (2021)
Druh dokumentu: article
ISSN: 2050-084X
DOI: 10.7554/eLife.62997
Popis: Background: National Malaria Control Programmes (NMCPs) currently make limited use of parasite genetic data. We have developed GenRe-Mekong, a platform for genetic surveillance of malaria in the Greater Mekong Subregion (GMS) that enables NMCPs to implement large-scale surveillance projects by integrating simple sample collection procedures in routine public health procedures. Methods: Samples from symptomatic patients are processed by SpotMalaria, a high-throughput system that produces a comprehensive set of genotypes comprising several drug resistance markers, species markers and a genomic barcode. GenRe-Mekong delivers Genetic Report Cards, a compendium of genotypes and phenotype predictions used to map prevalence of resistance to multiple drugs. Results: GenRe-Mekong has worked with NMCPs and research projects in eight countries, processing 9623 samples from clinical cases. Monitoring resistance markers has been valuable for tracking the rapid spread of parasites resistant to the dihydroartemisinin-piperaquine combination therapy. In Vietnam and Laos, GenRe-Mekong data have provided novel knowledge about the spread of these resistant strains into previously unaffected provinces, informing decision-making by NMCPs. Conclusions: GenRe-Mekong provides detailed knowledge about drug resistance at a local level, and facilitates data sharing at a regional level, enabling cross-border resistance monitoring and providing the public health community with valuable insights. The project provides a rich open data resource to benefit the entire malaria community. Funding: The GenRe-Mekong project is funded by the Bill and Melinda Gates Foundation (OPP11188166, OPP1204268). Genotyping and sequencing were funded by the Wellcome Trust (098051, 206194, 203141, 090770, 204911, 106698/B/14/Z) and Medical Research Council (G0600718). A proportion of samples were collected with the support of the UK Department for International Development (201900, M006212), and Intramural Research Program of the National Institute of Allergy and Infectious Diseases.
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