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  • member
  • team
  • department
  • center
  • program_project
  • nrc
  • whocc
  • project
  • software
  • tool
  • patent
  • Administrative Staff
  • Clinical Research Assistant
  • Graduate Student
  • Lab assistant
  • Non-permanent Researcher
  • Permanent Researcher
  • PhD Student
  • Physician
  • Post-doc
  • Project Manager
  • Research Engineer
  • Retired scientist
  • Technician
  • Undergraduate Student
  • Visiting Scientist
  • Deputy Director of Center
  • Deputy Director of Department
  • Deputy Director of National Reference Center
  • Director of Center
  • Director of Department
  • Director of Institute
  • Director of National Reference Center
  • Group Leader
  • Head of Facility
  • Head of Structure
  • Honorary President of the Departement
  • Labex Coordinator
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Scientific Fields
Diseases
Organisms
Applications
Technique
Starting Date
01
Jan 2015
Ending Date
31
Dec 2017
Status
Ongoing
Members
2
Structures
3
Instituts
1

About

It is well accepted that the outcome of infection in malaria depends upon interaction between the
human host and Plasmodium spp. This is the result of forces of selection and escape acting on the
two genomes over evolutionary time. Although the parasite goes through several stages in the human
host, the best characterized point of contact between the parasite and host at the molecular level is
the entry of merozoites into the red blood cell, involving multiple receptor (human)-ligand (parasite)
interactions that have been characterized by in vitro studies. Other interactions are likely to result in
more subtle effects on infection outcome that can be explained by particular human-parasite
polymorphism configurations. With the advent of high throughput genotyping and whole genome
sequencing, it is now possible to envisage undertaking studies that cross human variability against
parasite variability in a global fashion. At the present, we lack statistical methods to identify such
interaction pairings at the genome wide level. The aim of this project is to develop and apply such
methods appropriate for host-parasite interactions in the context of human infection by P.
falciparum. The study relies on a large, well-characterized longitudinal malaria cohort from Senegal
with numerous clinical variables collected repeatedly over a 20-year period (beginning in 1990) from
two communities( ~500 subjects with data). Phenotypes of malaria infection and disease will be
considered. A several month period will be selected for identification of ~300 blood samples with
parasitemia for whole genome sequencing (WGS) of the Plasmodium falciparum genome. The ~500
subjects were also genotyped for 700,000 SNPs in a genome wide association study.
Statistical/computational methodological development will be applied to the issue of reduction of the
complexity of P. falciparum genomic diversity across the full population and within each sample,
and evaluation of parasite genome-human genome interaction as it impacts on phenotype. We will
characterize P. falciparum genomic diversity in this endemic community in Senegal. Novel genepairs/
interacting host-parasite polymorphism configurations acting on phenotypes will be identified
and will be further explored functionally.

Fundings