Genetic surveillance in the greater mekong subregion and south asia to support malaria control and elimination

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

doi:https://doi.org/10.7554/ELIFE.62997

Genetic surveillance in the greater mekong subregion and south asia to support malaria control and elimination

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 AshleySonexay 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

Research output: Contribution to journal › Article › Academic › peer-review

34 Citations (Scopus)

Abstract

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.

Original language	English
Article number	e62997
Journal	eLife
Volume	10
DOIs	https://doi.org/10.7554/ELIFE.62997
Publication status	Published - 2021

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https://doi.org/10.7554/ELIFE.62997

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Jacob, C. G., Thuy-Nhien, N., Mayxay, M., Maude, R. J., Quang, H. H., Hongvanthong, B., Vanisaveth, V., Duc, T. N., Rekol, H., van der Pluijm, R., von Seidlein, L., Fairhurst, R., Nosten, F., Hossain, M. A., Park, N., Goodwin, S., Ringwald, P., Chindavongsa, K., Newton, P., ... Miotto, O. (2021). Genetic surveillance in the greater mekong subregion and south asia to support malaria control and elimination. eLife, 10, Article e62997. https://doi.org/10.7554/ELIFE.62997

@article{312a61743b484c16837cce111367bf12,

title = "Genetic surveillance in the greater mekong subregion and south asia to support malaria control and elimination",

abstract = "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.",

author = "Jacob, {Christopher G.} and Nguyen Thuy-Nhien and Mayfong Mayxay and Maude, {Richard J.} and Quang, {Huynh Hong} and Bouasy Hongvanthong and Viengxay Vanisaveth and Duc, {Thang Ngo} and Huy Rekol and {van der Pluijm}, Rob and {von Seidlein}, Lorenz and Rick Fairhurst and Fran{\c c}ois Nosten and Hossain, {Md Amir} and Naomi Park and Scott Goodwin and Pascal Ringwald and Keobouphaphone Chindavongsa and Paul Newton and Elizabeth Ashley and Sonexay Phalivong and Rapeephan Maude and Rithea Leang and Cheah Huch and Dong, {Le Thanh} and Kim-Tuyen Nguyen and Nhat, {Tran Minh} and Hien, {Tran Tinh} and Hoa Nguyen and Nicole Zdrojewski and Sara Canavati and Sayeed, {Abdullah Abu} and Didar Uddin and Caroline Buckee and Fanello, {Caterina I.} and Marie Onyamboko and Thomas Peto and Rupam Tripura and Chanaki Amaratunga and Thu, {Aung Myint} and Gilles Delmas and Jordi Landier and Parker, {Daniel M.} and Chau, {Nguyen Hoang} and Dysoley Lek and Seila Suon and James Callery and Podjanee Jittamala and Borimas Hanboonkunupakarn and Sasithon Pukrittayakamee and Phyo, {Aung Pyae} and Frank Smithuis and Khin Lin and Myo Thant and Hlaing, {Tin Maung} and Parthasarathi Satpathi and Sanghamitra Satpathi and Behera, {Prativa K.} and Amar Tripura and Subrata Baidya and Neena Valecha and Anvikar, {Anupkumar R.} and Islam, {Akhter Ul} and Abul Faiz and Chanon Kunasol and Eleanor Drury and Mihir Kekre and Mozam Ali and Katie Love and Shavanthi Rajatileka and Jeffreys, {Anna E.} and Kate Rowlands and Hubbart, {Christina S.} and Mehul Dhorda and Ranitha Vongpromek and Namfon Kotanan and Phrutsamon Wongnak and Garcia, {Jacob Almagro} and Pearson, {Richard D.} and Ariani, {Cristina V.} and Thanat Chookajorn and Cinzia Malangone and T. Nguyen and Jim Stalker and Ben Jeffery and Jonathan Keatley and Johnson, {Kimberly J.} and Dawn Muddyman and Chan, {Xin Hui S.} and John Sillitoe and Roberto Amato and Victoria Simpson and Sonia Gon{\c c}alves and Kirk Rockett and Day, {Nicholas P.} and Dondorp, {Arjen M.} and Kwiatkowski, {Dominic P.} and Olivo Miotto",

note = "Funding Information: We are grateful all patients and health workers who participated in sample collections. This study used data from the MalariaGEN Pf3k Project and Plasmodium falciparum Community Project. We thank the staff of Wellcome Sanger Institute Sample Logistics, Sequencing, and Informatics facilities for their contribution; in particular, we are grateful to the Wellcome Sanger Institute DNA Pipelines Informatics team for supporting the development of the methods used in this work. We thank the many collaborators who contributed to the GenRe-Mekong Project, and especially: Pannapat Masingboon, Narisa Thongmee, Zo{\"e} Doran, Salwaluk Panapipat, Ipsita Sinha, Rapeephan Maude, Vilasinee Yuwaree, Tran Minh Nhat, Hoang Hai Phuc, Ro Mah Huan, Nguyen Minh Nhat, Tran Van Don. PR is a staff member of the World Health Organization; PR alone is responsible for the views expressed in this publication and they do not necessarily represent the decisions, policy or views of the World Health Organization. This work was supported, in whole or in part, by the Bill and Melinda Gates Foundation [OPP11188166, OPP1204268]. Under the grant conditions of the Foundation, a Creative Commons Attribution 4.0 Generic License has already been assigned to the Author Accepted Manuscript version that might arise from this submission. Funding Information: 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. Publisher Copyright: {\textcopyright} 2021, eLife Sciences Publications Ltd. All rights reserved.",

year = "2021",

doi = "https://doi.org/10.7554/ELIFE.62997",

language = "English",

volume = "10",

journal = "eLife",

issn = "2050-084X",

publisher = "eLife Sciences Publications Limited",

}

Jacob, CG, Thuy-Nhien, N, Mayxay, M, Maude, RJ, Quang, HH, Hongvanthong, B, Vanisaveth, V, Duc, TN, Rekol, H, van der Pluijm, R, von Seidlein, L, Fairhurst, R, Nosten, F, Hossain, MA, Park, N, Goodwin, S, Ringwald, P, Chindavongsa, K, Newton, P, Ashley, E, Phalivong, S, Maude, R, Leang, R, Huch, C, Dong, LT, Nguyen, K-T, Nhat, TM, Hien, TT, Nguyen, H, Zdrojewski, N, Canavati, S, Sayeed, AA, Uddin, D, Buckee, C, Fanello, CI, Onyamboko, M, Peto, T, Tripura, R, Amaratunga, C, Thu, AM, Delmas, G, Landier, J, Parker, DM, Chau, NH, Lek, D, Suon, S, Callery, J, Jittamala, P, Hanboonkunupakarn, B, Pukrittayakamee, S, Phyo, AP, Smithuis, F, Lin, K, Thant, M, Hlaing, TM, Satpathi, P, Satpathi, S, Behera, PK, Tripura, A, Baidya, S, Valecha, N, Anvikar, AR, Islam, AU, Faiz, A, Kunasol, C, Drury, E, Kekre, M, Ali, M, Love, K, Rajatileka, S, Jeffreys, AE, Rowlands, K, Hubbart, CS, Dhorda, M, Vongpromek, R, Kotanan, N, Wongnak, P, Garcia, JA, Pearson, RD, Ariani, CV, Chookajorn, T, Malangone, C, Nguyen, T, Stalker, J, Jeffery, B, Keatley, J, Johnson, KJ, Muddyman, D, Chan, XHS, Sillitoe, J, Amato, R, Simpson, V, Gonçalves, S, Rockett, K, Day, NP, Dondorp, AM, Kwiatkowski, DP & Miotto, O 2021, 'Genetic surveillance in the greater mekong subregion and south asia to support malaria control and elimination', eLife, vol. 10, e62997. https://doi.org/10.7554/ELIFE.62997

TY - JOUR

T1 - Genetic surveillance in the greater mekong subregion and south asia to support malaria control and elimination

AU - Jacob, Christopher G.

AU - Thuy-Nhien, Nguyen

AU - Mayxay, Mayfong

AU - Maude, Richard J.

AU - Quang, Huynh Hong

AU - Hongvanthong, Bouasy

AU - Vanisaveth, Viengxay

AU - Duc, Thang Ngo

AU - Rekol, Huy

AU - van der Pluijm, Rob

AU - von Seidlein, Lorenz

AU - Fairhurst, Rick

AU - Nosten, François

AU - Hossain, Md Amir

AU - Park, Naomi

AU - Goodwin, Scott

AU - Ringwald, Pascal

AU - Chindavongsa, Keobouphaphone

AU - Newton, Paul

AU - Ashley, Elizabeth

AU - Phalivong, Sonexay

AU - Maude, Rapeephan

AU - Leang, Rithea

AU - Huch, Cheah

AU - Dong, Le Thanh

AU - Nguyen, Kim-Tuyen

AU - Nhat, Tran Minh

AU - Hien, Tran Tinh

AU - Nguyen, Hoa

AU - Zdrojewski, Nicole

AU - Canavati, Sara

AU - Sayeed, Abdullah Abu

AU - Uddin, Didar

AU - Buckee, Caroline

AU - Fanello, Caterina I.

AU - Onyamboko, Marie

AU - Peto, Thomas

AU - Tripura, Rupam

AU - Amaratunga, Chanaki

AU - Thu, Aung Myint

AU - Delmas, Gilles

AU - Landier, Jordi

AU - Parker, Daniel M.

AU - Chau, Nguyen Hoang

AU - Lek, Dysoley

AU - Suon, Seila

AU - Callery, James

AU - Jittamala, Podjanee

AU - Hanboonkunupakarn, Borimas

AU - Pukrittayakamee, Sasithon

AU - Phyo, Aung Pyae

AU - Smithuis, Frank

AU - Lin, Khin

AU - Thant, Myo

AU - Hlaing, Tin Maung

AU - Satpathi, Parthasarathi

AU - Satpathi, Sanghamitra

AU - Behera, Prativa K.

AU - Tripura, Amar

AU - Baidya, Subrata

AU - Valecha, Neena

AU - Anvikar, Anupkumar R.

AU - Islam, Akhter Ul

AU - Faiz, Abul

AU - Kunasol, Chanon

AU - Drury, Eleanor

AU - Kekre, Mihir

AU - Ali, Mozam

AU - Love, Katie

AU - Rajatileka, Shavanthi

AU - Jeffreys, Anna E.

AU - Rowlands, Kate

AU - Hubbart, Christina S.

AU - Dhorda, Mehul

AU - Vongpromek, Ranitha

AU - Kotanan, Namfon

AU - Wongnak, Phrutsamon

AU - Garcia, Jacob Almagro

AU - Pearson, Richard D.

AU - Ariani, Cristina V.

AU - Chookajorn, Thanat

AU - Malangone, Cinzia

AU - Nguyen, T.

AU - Stalker, Jim

AU - Jeffery, Ben

AU - Keatley, Jonathan

AU - Johnson, Kimberly J.

AU - Muddyman, Dawn

AU - Chan, Xin Hui S.

AU - Sillitoe, John

AU - Amato, Roberto

AU - Simpson, Victoria

AU - Gonçalves, Sonia

AU - Rockett, Kirk

AU - Day, Nicholas P.

AU - Dondorp, Arjen M.

AU - Kwiatkowski, Dominic P.

AU - Miotto, Olivo

N1 - Funding Information: We are grateful all patients and health workers who participated in sample collections. This study used data from the MalariaGEN Pf3k Project and Plasmodium falciparum Community Project. We thank the staff of Wellcome Sanger Institute Sample Logistics, Sequencing, and Informatics facilities for their contribution; in particular, we are grateful to the Wellcome Sanger Institute DNA Pipelines Informatics team for supporting the development of the methods used in this work. We thank the many collaborators who contributed to the GenRe-Mekong Project, and especially: Pannapat Masingboon, Narisa Thongmee, Zoë Doran, Salwaluk Panapipat, Ipsita Sinha, Rapeephan Maude, Vilasinee Yuwaree, Tran Minh Nhat, Hoang Hai Phuc, Ro Mah Huan, Nguyen Minh Nhat, Tran Van Don. PR is a staff member of the World Health Organization; PR alone is responsible for the views expressed in this publication and they do not necessarily represent the decisions, policy or views of the World Health Organization. This work was supported, in whole or in part, by the Bill and Melinda Gates Foundation [OPP11188166, OPP1204268]. Under the grant conditions of the Foundation, a Creative Commons Attribution 4.0 Generic License has already been assigned to the Author Accepted Manuscript version that might arise from this submission. Funding Information: 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. Publisher Copyright: © 2021, eLife Sciences Publications Ltd. All rights reserved.

PY - 2021

Y1 - 2021

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85113798922&partnerID=8YFLogxK

U2 - https://doi.org/10.7554/ELIFE.62997

DO - https://doi.org/10.7554/ELIFE.62997

M3 - Article

C2 - 34372970

SN - 2050-084X

VL - 10

JO - eLife

JF - eLife

M1 - e62997

ER -

Genetic surveillance in the greater mekong subregion and south asia to support malaria control and elimination

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