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Please use this identifier to cite or link to this item: http://repository.li.mahidol.ac.th/dspace/handle/123456789/76341
Title: Genetic surveillance in the greater mekong subregion and south asia to support malaria control and elimination
Authors: 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
Ramathibodi Hospital
Faculty of Tropical Medicine, Mahidol University
Oxford University Clinical Research Unit
Sciences Economiques et Sociales de la Santé et Traitement de l'Information Médicale
The Wellcome Centre for Human Genetics
Ministry of Health Laos
Universite de Kinshasa
National Institute of Malariology, Parasitology and Entomology Hanoi
Ispat General Hospital
Shoklo Malaria Research Unit
Harvard T.H. Chan School of Public Health
Organisation Mondiale de la Santé
National Institute of Malaria Research India
Mahosot Hospital, Lao
Mahidol University
Chittagong Medical College Hospital
Nuffield Department of Medicine
University of California, Irvine
National Institutes of Health (NIH)
Wellcome Sanger Institute
Midnapore Medical College
Vysnova Partners Inc
Myanmar Oxford Clinical Research Unit
Asia Regional Centre
Ramu Upazila Health Complex
Malaria Research Group and Dev Care Foundation
Institute of Malariology
Defence Services Medical Academy
Entomology
Agartala Medical College
Royal Society of Thailand
Institute of Malariology
Keywords: Biochemistry, Genetics and Molecular Biology;Immunology and Microbiology;Neuroscience
Issue Date: 1-Jan-2021
Citation: eLife. Vol.10, (2021)
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.
URI: http://repository.li.mahidol.ac.th/dspace/handle/123456789/76341
metadata.dc.identifier.url: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85113798922&origin=inward
ISSN: 2050084X
Appears in Collections:Scopus 2021

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