Summary statistics for association tests between human and Plasmodium falciparum genetic variants in 3,346 severe malaria cases from The Gambia and Kenya

This dataset contains summary statistics for association tests between human and Plasmodium falciparum malaria parasite genetic variants, using data from 3,346 severe malaria cases from The Gambia and Kenya. These results underlie the analysis described in our paper: "Malaria protection due to sickle haemoglobin depends on parasite genotype" Gavin Band, Ellen M. Leffler, Muminatou Jallow, Fatoumatta Sisay-Joof, Carolyne M. Ndila, Alexander W. Macharia, Christina Hubbart, Anna E. Jeffreys, Kate Rowlands, Thuy Nguyen, Sónia M. Gonçalves, Cristina V. Ariani, Jim Stalker, Richard D. Pearson, Roberto Amato, Eleanor Drury, Giorgio Sirugo, Umberto d'Alessandro, Kalifa A. Bojang, Kevin Marsh, Norbert Peshu, Joseph W. Saelens, Mahamadou Diakité, Steve M. Taylor, David J. Conway, Thomas N. Williams, Kirk A. Rockett, Dominic P. Kwiatkowski Nature (2021) doi: 10.1038/s41586-021-04288-3 bioRxiv link:: doi.org/10.1101/2021.03.30.437659 The genotype data underlying these summary statistics has also been deposited on Zenodo (doi:10.5281/zenodo.4973477). The HPTEST software used to generate these results has also been deposited (doi:10.5281/zenodo.5685580). Please see the MalariaGEN website for a full list of datasets which have been released with this manuscript. Data contents. The dataset consists of a single sqlite database file containing the results, and an accompanying README file in markdown and html format. Please see the README file for full details of the data contents.