Journal article

Estimating the Numbers of Malaria Infections in Blood Samples Using High-Resolution Genotyping Data

A Ross, C Koepfli, X Li, S Schoepflin, P Siba, I Mueller, I Felger, T Smith

Plos One | PUBLIC LIBRARY SCIENCE | Published : 2012

Abstract

People living in endemic areas often habour several malaria infections at once. High-resolution genotyping can distinguish between infections by detecting the presence of different alleles at a polymorphic locus. However the number of infections may not be accurately counted since parasites from multiple infections may carry the same allele. We use simulation to determine the circumstances under which the number of observed genotypes are likely to be substantially less than the number of infections present and investigate the performance of two methods for estimating the numbers of infections from high-resolution genotyping data. The simulations suggest that the problem is not substantial in..

View full abstract

University of Melbourne Researchers

Grants

Awarded by Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung


Funding Acknowledgements

This work was funded by the Swiss National Science Foundation project number 320030-125316. The data used was additionally supported by the Swiss National Science Foundation project number 31003A-112196, the National Institutes of Health (AI063135, AI46919 and TW007872) and the Australian Agency for International Development. Infrastructure was supported by the Victorian State Government OIS and National Health and Medical Research Council (NHMRC) IRIISS grants. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.