CHRIS J. DRAKELEY

The paper identifies human antibodies against a mosquito salivary protein, SG1L3, that binds to Plasmodium falciparum sporozoites but does not block infection.

This paper develops a joint Bayesian model to analyze P. vivax parasite density, gametocyte density, and mosquito infectivity, showing gametocyte density has the strongest association with infectivity.

This study identifies parasite-intrinsic transcriptional programs associated with severe P. knowlesi malaria through integrative GWAS, transcriptomic, and eQTL analyses of clinical isolates.

The paper develops a rapid, cost-effective nanopore sequencing protocol and bioinformatics dashboard for continental-scale genomic surveillance of Plasmodium falciparum malaria in sub-Saharan Africa.

The paper analyzes P. knowlesi genomes from Sabah, Malaysia, to identify genetic subpopulations and introgression events linked to environmental factors and host adaptation.

The paper analyzes old Plasmodium falciparum genomes to study malaria parasite adaptation over 50 years, finding strong positive selection at surface protein loci and changes in allele frequencies.

This paper introduces a cost-effective targeted nanopore sequencing approach for P. falciparum genomic surveillance, validated with mock and field samples.

This paper develops a multiplex qPCR assay to detect Plasmodium falciparum and identify pfhrp2 and pfhrp3 deletions in field samples with high sensitivity and specificity.

This study identifies five genome-wide associations with severe malaria risk in 17,000 individuals from Africa, Asia, and Oceania, including a new variant linked to cerebral malaria.

The paper identifies a structural variant in GYPA and GYPB genes associated with reduced risk of severe malaria in sub-Saharan African populations.