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Genome-wide study of resistance to severe malaria in eleven worldwide populations

A genome-wide study of resistance to severe malaria in 18,000 samples from eleven worldwide populations, including eight populations sub-Saharan Africa.

Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data

Dataset ID Description Technology Samples
EGAD00010000902 Illumina Omni 2.5M 5594
EGAD00010000903 Illumina Omni 2.5M 3088
EGAD00010000904 Illumina Omni 2.5M 3865
EGAD00010001081 Illumina Omni 2.5M 1
EGAD00010001733 Illumina Omni 2.5M 1728
EGAD00010001734 Illumina Omni 2.5M 782
EGAD00010001735 Illumina Omni 2.5M 815
EGAD00010001736 Illumina Omni 2.5M 419
EGAD00010001737 Illumina Omni 2.5M 900
EGAD00010001738 Illumina Omni 2.5M 5594
EGAD00010001739 Illumina Omni 2.5M 1446
EGAD00010001740 Illumina Omni 2.5M 1471
EGAD00010001741 Illumina Omni 2.5M 3088
EGAD00010001742 Illumina Omni 2.5M 3865
EGAD00010001743 Illumina Omni 2.5M 979
EGAD00010001748 Illumina Omni 2.5M 17960
EGAD00010001799 Sequenom MassArray (Agena Bioscience) 40256
EGAD00010001818 Sanger Sequencing 96
Publications Citations
A novel locus of resistance to severe malaria in a region of ancient balancing selection.
Nature 526: 2015 253-257
Novel genetic polymorphisms associated with severe malaria and under selective pressure in North-eastern Tanzania.
PLoS Genet 14: 2018 e1007172
Insights into malaria susceptibility using genome-wide data on 17,000 individuals from Africa, Asia and Oceania.
Nat Commun 10: 2019 5732
Improving statistical power in severe malaria genetic association studies by augmenting phenotypic precision.
Elife 10: 2021 e69698
Haplotype heterogeneity and low linkage disequilibrium reduce reliable prediction of genotypes for the ‑α <sup>3.7I</sup> form of α-thalassaemia using genome-wide microarray data.
Wellcome Open Res 5: 2020 287
Structural organization of erythrocyte membrane microdomains and their relation with malaria susceptibility.
Commun Biol 4: 2021 1375
Malaria protection due to sickle haemoglobin depends on parasite genotype.
Nature 602: 2022 106-111
<i>BIRC6</i> modifies risk of invasive bacterial infection in Kenyan children.
Elife 11: 2022 e77461
Risk score prediction model based on single nucleotide polymorphism for predicting malaria: a machine learning approach.
BMC Bioinformatics 23: 2022 325
Genome-wide association study of leprosy in Malawi and Mali.
PLoS Pathog 18: 2022 e1010312
HMOX1 STR polymorphism and malaria: an analysis of a large clinical dataset.
Malar J 21: 2022 342