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Genetic determination and linkage mapping of Plasmodium falciparum malaria related traits in Senegal

  • Anavaj Sakuntabhai
  • , Rokhaya Ndiaye
  • , Isabelle Casadémont
  • , Chayanon Peerapittayamonkol
  • , Christopher Rogier
  • , Patricia Tortevoye
  • , Adama Tall
  • , Richard Paul
  • , Chairat Turbpaiboon
  • , Waraphon Phimpraphi
  • , Jean Francois Trape
  • , André Spiegel
  • , Simon Heath
  • , Odile Mercereau-Puijalon
  • , Alioune Dieye
  • , Cécile Julier
  • Institut Pasteur, Paris
  • Université René-Descartes
  • Institut Pasteur de Dakar
  • Université Cheikh Anta Diop de Dakar
  • Siriraj Hospital
  • IMTSSA Institut de Médecine Tropicale du Service de Santé des Armées
  • Mahidol University
  • Institut de Recherche pour le Développement Dakar
  • Département d'Epidémiologie et de Santé Publique
  • Centre National de Génotypage
  • CNRS Centre National de la Recherche Scientifique

Research output: Contribution to journalArticlepeer-review

49 Citations (Scopus)

Abstract

Plasmodium falciparum malaria episodes may vary considerably in their severity and clinical manifestations. There is good evidence that host genetic factors contribute to this variability. To date, most genetic studies aiming at the identification of these genes have used a case/ control study design for severe malaria, exploring specific candidate genes. Here, we performed a family-based genetic study of falciparum malaria related phenotypes in two independent longitudinal survey cohorts, as a first step towards the identification of genes and mechanisms involved in the outcome of infection. We studied two Senegalese villages, Dielmo and Ndiop that differ in ethnicity, malaria transmission and endemicity. We performed genome-scan linkage analysis of several malaria-related phenotypes both during clinical attacks and asymptomatic infection. We show evidence for a strong genetic contribution to both the number of clinical falciparum malaria attacks and the asymptomatic parasite density. The asymptomatic parasite density showed linkage to chromosome 5q31 (LOD = 2.26, empirical p = 0.0014, Dielmo), confirming previous findings in other studies. Suggestive linkage values were also obtained at three additional chromosome regions: the number of clinical malaria attacks on chromosome 5p15 (LOD = 2.57, empirical p = 0.001, Dielmo) and 13q13 (LOD = 2.37, empirical p = 0.0014 Dielmo), and the maximum parasite density during asymptomatic infection on chromosome 12q21 (LOD = 3.1, empirical p<10-4, Ndiop). While regions of linkage show little overlap with genes known to be involved in severe malaria, the four regions appear to overlap with regions linked to asthma or atopy related traits, suggesting that common immune related pathways may be involved.

Original languageEnglish
Article numbere2000
JournalPLoS ONE
Volume3
Issue number4
DOIs
Publication statusPublished - 23 Apr 2008
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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