Access additional data on 34 genomic regions that, in our analysis, showed the strongest association with severe malaria. For each region, we’ve provided information on the regional variant with the most evidence for association in the region (lead variant), a forest plot detailing estimated effect sizes, and regional association plots showing evidence across the region.
To explore these data, visit: https://www.malariagen.net/supplementary/.
Human GWAS data
Genome-wide study of resistance to severe malaria in eleven populations – This managed access data release contains SNP genotype data for cases (individuals with severe malaria) and controls (healthy individuals) from an ongoing study of eleven populations. Initially, the data release includes three populations (Kenya, Gambia, and Malawi); data on additional populations will be added as it becomes available.
For more information about how to apply for access, see Human GWAS data.
The SNPTEST software for genome-wide association testing is available at https://mathgen.stats.ox.ac.uk/genetics_software/snptest/snptest.html. Executables and source code for inthinnerator are available at http://www.well.ox.ac.uk/~gav/inthinnerator/#overview.
About the collaboration
This genome-wide association study was undertaken as part of the MalariaGEN Consortial Project 1, an international collaboration that is examining the genetic determinants of resistance to malaria.