Open Access Research article

Homology blocks of Plasmodium falciparum var genes and clinically distinct forms of severe malaria in a local population

Mary M Rorick12*, Thomas S Rask3, Edward B Baskerville1, Karen P Day3 and Mercedes Pascual124

Author Affiliations

1 Department of Ecology and Evolutionary Biology, University of Michigan, 2019 Kraus Nat. Sci. Bldg., 830 North University Ave, Ann Arbor 48109-1048, Michigan, USA

2 Howard Hughes Medical Institute, Ann Arbor, Michigan, USA

3 Department of Microbiology, Division of Medical Parasitology, New York University School of Medicine, New York City, New York, USA

4 Center for Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, USA

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BMC Microbiology 2013, 13:244  doi:10.1186/1471-2180-13-244

Published: 6 November 2013

Additional files

Additional file 1:

Additional figures. Figure S1. Respiratory distress (RD) as a function of host age and rosetting. Figure S2. HB composition of known rosetting var genes. Figure S3. Linkage disequilibrium coefficient (D) values for all pairs of HBs in the genomic dataset. Figure S4. Community partition of weighted linkage network of HBs. Figure S5. HB-HB expression rate correlation matrix. Figure S6. Model of respiratory distress. Figure S7. Relationship between rosetting and respiratory distress. Figure S8. Relationship between impaired consciousness and the expression of various var types and HBs. Figure S9. The best fit relationship between six variables and rosetting using a window analysis. Figure S10. Relationship between rosetting and expression rates of var types and HBs. Figure S11. PC-classic var type association network. Figure S12. PC-HB relationships. Figure S13. Principal components in data space. Figure S14. The amount of variation explained by each PC. Figure S15. PCA for two subsets of the data. Figure S16. Representation of select homology blocks. Figure S17. HB-classic var type association network.

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Additional file 2:

Further explanation of methods.

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Additional file 3:

Additional tables. Table S1. Multiple regression models of rosetting that include an HB expression rate as an independent variable. Table S2. Multiple regression models of rosetting that include an HB expression PC as an independent variable. Table S3. Statistics for multiple regression models predicting rosetting with and without age.

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