NatureGeneticsPeer-reviewed journal article
The protective effect of sickle cell haemoglobin against severe malaria depends on parasite genotype
Gavin BandiD, Ellen Miranda LeffleriD, Muminatou JallowiD, Fatoumatta Sisay-Joof, Carolyne NdilaiD, Alexander W. MachariaiD, Christina HubbartiD, Anna E. JeffreysiD, Kate RowlandsiD, Thuy Nguyen, Sónia GonçalvesiD, Cristina V. ArianiiD, Jim Stalker, Richard D. PearsoniD, Roberto AmatoiD, Eleanor DruryiD, Giorgio SirugoiD, Umberto D’AlessandroiD, Kalifa BojangiD, Kevin MarshiD, Norbert M. PeshuiD, Joseph W. SaelensiD, Mahamadou DiakitéiD, Steve M. TayloriD, David J. ConwayiD, , Dominic P. KwiatkowskiiD
Abstract
Host genetic factors can confer resistance against malaria, raising the question of whether this has led to evolutionary adaptation of parasite populations. In this study we investigated the correlation between host and parasite genetic variation in 4,171 Gambian and Kenya children ascertained with severe malaria due to Plasmodium falciparum. We identified a strong association between sickle haemoglobin (HbS) in the host and variation in three regions of the parasite genome, including nonsynonymous variants in the acyl-CoA synthetase family member PfACS8 on chromosome 2, in a second region of chromosome 2, and in a region containing structural variation on chromosome 11. The HbS-associated parasite alleles are in strong linkage disequilibrium and have frequencies which covary with the frequency of HbS across populations, in particular being much more common in Africa than other parts of the world. The estimated protective effect of HbS against severe malaria, as determined by comparison of cases with population controls, varies greatly according to the parasite genotype at these three loci. These findings open up a new avenue of enquiry into the biological and epidemiological significance of the HbS-associated polymorphisms in the parasite genome, and the evolutionary forces that have led to their high frequency and strong linkage disequilibrium in African P. falciparum populations.
- organism: human
- organism: plant (other)
- assay: GWAS summary statistics
- research focus: GWAS / association mapping
- research focus: benchmarking
- approach: statistical model
- Citations
- 89
- FWCI
- 12.76
- Field percentile
- top 1%
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