👋🏽 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.
Table of Contents
- Visual summary the latest data release
- Genetic Report Card (GRC)
- GenRe-Mekong P. falciparum data
- P. falciparum Community Project
- Data available on GitHub
- Guides to the GRC
- Transforming your data into GRC format
- WHO Malaria Threat Maps
- 📄 Data Release Policy
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 |
|---|---|---|---|---|---|---|
GRC 07-July-2022 | 13,078 samples | 8 countries | 2012 - 2021 | v1.2 | GitHub | Papers | grcMalaria v1.0.0 |
GRC 14-May-2024 | 13,647 samples | 8 countries | 2012 - 2022 | v1.4 | GitHub | Paper | grcMalaria v2.0.0 |
P. falciparum Community Project
Release Date | Details | Period cover | GRC Version | Download on | Cite | Compatible |
|---|---|---|---|---|---|---|
Pf7 03-Nov-2023 | 16,203 QC pass samples from the MalariaGEN Pf7 global data resource | 33 countries | 1984 - 2018 | v1.4 | GitHub | Paper | grcMalaria v2.0.0 |
Data available on GitHub
💻 GitHub - GenRe-Mekong/Data: Genetic Report Card dataset |
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.
📒 GRC User Guide (GenRe-Mekong GRC V1.4 format)
📒 GRC User Guide (GenRe-Mekong GRC V1.2 format)
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.
🟠 SpotMalaria Homepage
⚙️ SpotMalaria platform - Technical Notes and Methods
💊 Drug Resistance Prediction Rules applied to the GRC
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