Journal article
Population Genetic Analysis of Plasmodium falciparum Parasites Using a Customized Illumina GoldenGate Genotyping Assay
Susana Campino, Sarah Auburn, Katja Kivinen, Issaka Zongo, Jean-Bosco Ouedraogo, Valentina Mangano, Abdoulaye Djimde, Ogobara K Doumbo, Steven M Kiara, Alexis Nzila, Steffen Borrmann, Kevin Marsh, Pascal Michon, Ivo Mueller, Peter Siba, Hongying Jiang, Xin-Zhuan Su, Chanaki Amaratunga, Duong Socheat, Rick M Fairhurst Show all
PLoS One | PUBLIC LIBRARY SCIENCE | Published : 2011
Abstract
The diversity in the Plasmodium falciparum genome can be used to explore parasite population dynamics, with practical applications to malaria control. The ability to identify the geographic origin and trace the migratory patterns of parasites with clinically important phenotypes such as drug resistance is particularly relevant. With increasing single-nucleotide polymorphism (SNP) discovery from ongoing Plasmodium genome sequencing projects, a demand for high SNP and sample throughput genotyping platforms for large-scale population genetic studies is required. Low parasitaemias and multiple clone infections present a number of challenges to genotyping P. falciparum. We addressed some of these..
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Awarded by Medical Research Council
Awarded by NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES
Funding Acknowledgements
Funding: This work was in part funded by the Bill and Melinda Gates Foundation, Wellcome Trust, Medical Research Council-UK, European Developing Countries Clinical Trials Partnership, Division of Intramural Research of the National Institutes of Health and National Institute of Allergy and Infectious Diseases-USA, the National Health and Medical Research Council-Australia, The National Malaria Control Program and the National Budget of the Institut de Recherche en Sciences de le Sante-Burkina Faso. A. A. D. is supported by European and Developing Countries Clinical Trial Partnership Senior Fellowship and Howard Hughes Medical Institution International Scholarship. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.