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Modeling the genetic relatedness of Plasmodium falciparum parasites following meiotic recombination and cotransmission

Wesley Wong, Edward A. Wenger, Daniel L. Hartl, Dyann F. Wirth, Mercedes Pascual
2018 PLoS Computational Biology  
The computations in this paper were run on the Odyssey cluster supported by the FAS Division of Science, Research Computing Group at Harvard University.  ...  Acknowledgments We thank Hsiao-Han Chang, Angela Early, Seth Redmond, and Daniel E. Neafsey for helpful discussions and early manuscript critiques.  ...  The distinction between genetically distinct and genetically identical meiotic siblings is relevant in the context of cotransmission, as the transmission of clonal meiotic siblings cannot result in cotransmission  ... 
doi:10.1371/journal.pcbi.1005923 pmid:29315306 pmcid:PMC5777656 fatcat:iqv23jifq5ca5hqrtybhiqv3py

Evaluating the performance of malaria genetics for inferring changes in transmission intensity using transmission modelling

Oliver J Watson, Lucy C Okell, Joel Hellewell, Hannah C Slater, H Juliette T Unwin, Irene Omedo, Philip Bejon, Robert W Snow, Abdisalan M Noor, Kirk Rockett, Christina Hubbart, Joaniter I Nankabirwa (+5 others)
2020 Molecular biology and evolution  
the level of genetic diversity and relatedness of malaria parasites.  ...  Finally, we characterise the predictive power of six metrics of parasite genetics for detecting changes in transmission intensity, before grouping them in an ensemble statistical model.  ...  Data Availability The transmission model developed was written in Cþþ and is available as the R package magenta (Watson et al.), with all data generated in this analysis using magenta v1.0.0 and freely  ... 
doi:10.1093/molbev/msaa225 pmid:32898225 pmcid:PMC7783189 fatcat:wrrpxmwpkfhs3my5q6jjy44qsu

Evaluating the performance of malaria genomics for inferring changes in transmission intensity using transmission modelling [article]

Oliver John Watson, Lucy C Okell, Hellewell Joel, Hannah Slater, H. Juliette T Unwin, Irene Omedo, Philip Bejon, Robert W Snow, Abdisalan M Noor, Kirk Rockett, Christina Hubbart, Joaniter I Nankabirwa (+4 others)
2019 biorxiv/medrxiv   pre-print
Finally, we characterise the predictive power of six metrics of parasite genetics for detecting changes in transmission intensity, before grouping them in an ensemble statistical model.  ...  We predict that cotransmission and superinfection contribute equally to within-host parasite genetic diversity at 11.5% PCR prevalence, above which superinfections dominate.  ...  Data Availability The transmission model developed was written in Cþþ and is available as the R package magenta (Watson et al.), with all data generated in this analysis using magenta v1.0.0 and freely  ... 
doi:10.1101/793554 fatcat:zswbcy2wyjdmljo2deswuxiqpq