Measuring Malaria Vaccine Candidate Alleles with Pyrosequencing
Author Information
Author(s): Shannon L. Takala, David L. Smith, O. Colin Stine, Drissa Coulibaly, Mahamadou A. Thera, Ogobara K. Doumbo, Christopher V. Plowe
Primary Institution: Center for Vaccine Development, University of Maryland School of Medicine
Hypothesis
Can Pyrosequencing accurately estimate allele frequencies and haplotypes in mixed malaria infections?
Conclusion
Pyrosequencing combined with a haplotype-estimating algorithm provides accurate estimates of haplotypes in malaria infections with up to three haplotypes.
Supporting Evidence
- Fourteen unique MSP-119 haplotypes were identified among 351 genotyped infections.
- Approximately 90% of the infections contained two or fewer haplotypes.
- The haplotype-estimating algorithm provided accurate estimates for mixed infections with up to three haplotypes.
Takeaway
This study shows a new way to check how many different types of malaria are in sick people, which helps scientists make better vaccines.
Methodology
Pyrosequencing was used to determine allele frequencies at six SNPs in MSP-119 from field samples, and a haplotype-estimating algorithm was developed.
Limitations
The algorithm is less accurate for infections with four or more haplotypes due to identifiability issues.
Participant Demographics
Samples were collected from children and young adults in Mali.
Digital Object Identifier (DOI)
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