👋🏽 Welcome to our Data Hub!
Here you'll find resources about the Genetic Report Card (GRC) releases, access to open datasets, and guides for data interpretation.
Please refer to the terms of use when accessing GenRe-Mekong data.
Visual summary the latest data release
ℹ️ How to use this interactive data explorer
Genetic Report Card (GRC)
GenRe-Mekong routinely releases reports and genotype data in a form of Genetic Report Cards (GRC) to our partner studies. Additionally, we periodically release public access datasets alongside peer-reviewed publication, which is shared on this site as well as on MalariaGEN
The GRC dataset can be used with the grcMalaria visualisation and mapping tool.
Below is Open access data
Jacob, C. G. et al. Genetic surveillance in the Greater Mekong Subregion and South Asia to support malaria control and elimination. eLife (2021). https://doi.org:10.1101/2020.07.23.20159624
Wasakul, V. et al. Genetic surveillance of Plasmodium falciparum populations following treatment policy revisions in the Greater Mekong Subregion. Nature Communications 16, 4689 (2025). https://doi.org:10.1038/s41467-025-59946-1
GenRe-Mekong P. falciparum data
Release Date | Details | Period | GRC Version | Download | Cite | Compatible |
|---|---|---|---|---|---|---|
13,078 samples | 8 countries | 2012 - 2021 | v1.2 | grcMalaria v1.0.0 | |||
13,647 samples | 8 countries | 2012 - 2022 | v1.4 | grcMalaria v2.0.0 |
P. falciparum Community Project
Release Date | Details | Period cover | GRC Version | Download on | Cite | Compatible |
|---|---|---|---|---|---|---|
16,203 QC pass samples from the MalariaGEN Pf7 global data resource | 33 countries | 1984 - 2018 | v1.4 | grcMalaria v2.0.0 |
Data available on GitHub
Guides to the GRC
A guide to GRC data interpretation, and explanation about the link between the genotyped mutations and the predicted resistance to antimalarial drugs.
The GenRe-Mekong genetic surveillance is conducted using SpotMalaria’s standardized operating procedure and genotyping platform. SpotMalaria provides data for a wide range of genetic markers and features of the malaria parasites in each sample, and predict their level of resistance to various antimalarials.
Transforming your data into GRC format
The grcMalaria package processes standardised genetic surveillance data in the form of a GRC data file, a Microsoft Excel spreadsheet formatted according to the GenRe-Mekong GRC Data Dictionary.
(🚧 Coming soon!)
WHO Malaria Threat Maps
GenRe-Mekong periodically release public datasets to WHO malaria threat maps
📄 Data Release Policy
Read our terms of use when accessing GenRe-Mekong data
How to use this interactive data explorer
Using GenRe-Mekong Data