Functional Immuno-genetic Correlates of Immunity to Malaria


Start date: 5 January, 2015 End date: 31 December, 2021 Project type: South-driven projects (prior to 2017) Project code: 14-P01-GHA Countries: Ghana Thematic areas: Health, Lead institution: University of Ghana (UG), Ghana Partner institutions: Statens Serum Institut (SSI), Denmark University of Copenhagen (UCPH), Denmark Project website: go to website (the site might be inactive) Project coordinator: Daniel Dodoo Total grant: 9,793,564 DKK Project files:

Project summary

This project will define immune-genetic correlates of malaria immunity and strengthen research capacity through:

1. Identification of immuno-genetic determinants of immunity to malaria: Malaria immunity has been associated with antibody titres and infection outcome often ignoring polymorphisms in host genes crucial for antibody function. Here, interactions between polymorphisms in (ITGB2, FCGR2A, FCGR2B, FCGR3A, FCGR3B, IGHG3) genes, quality and quantity of malarial antibodies in relation to risk of malaria will be assessed.

2. Dynamics of Plasmodium falciparum (Pf) genetic variations underlying acquisition of immunity to malaria: The high variability of Pf infection outcome is inadequately explained by host related factors alone. Here, sequences and expression profiles of genes encoding proteins crucial for parasite invasion, transmission and cytoadherence will be evaluated from parasite strains during one malaria season.

3. Functional assessment of naturally acquired malarial antibodies: Growth Inhibition Assay (GIA), Antibody Dependent Cellular Inhibition (ADCI) and Antibody Dependent Respiratory Burst (ADRB) assays will be established. Genetic and phenotypic factors for effector cell function in ADCI and ADRB will be ascertained.

4. Functional assessment of vaccine boosted malarial antibodies: GMZ2 Phase 2b trial samples will be assessed for functional antibodies by the GIA, ADCI and ADRB assays. Polymorphisms in relevant host genes will be assessed. Statistical models for analyzing preclinical and clinical data incorporating host and parasite genetic factors will be proposed.

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