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1.
Fig. 2.

Fig. 2. From: Genetic loci associated with delayed clearance of Plasmodium falciparum following artemisinin treatment in Southeast Asia.

Population structure by geography. A plot of the first two principal components from a principal components analysis demonstrates evidence of population structure among parasites based on geographic region.

Shannon Takala-Harrison, et al. Proc Natl Acad Sci U S A. 2013 January 2;110(1):240-245.
2.
Fig. 1.

Fig. 1. From: Genetic loci associated with delayed clearance of Plasmodium falciparum following artemisinin treatment in Southeast Asia.

Distribution and heritability of parasite clearance phenotypes. (A and B) Distribution of parasite clearance half-life and parasite clearance time at the study sites. (C and D) Distribution of clearance half-life and clearance time in 23 identical clones from Tasanh and Pailin, Cambodia. The heritability of each phenotype (adjusted for confounding factors) is shown in C and D Bottom Right.

Shannon Takala-Harrison, et al. Proc Natl Acad Sci U S A. 2013 January 2;110(1):240-245.
3.
Fig. 3.

Fig. 3. From: Genetic loci associated with delayed clearance of Plasmodium falciparum following artemisinin treatment in Southeast Asia.

SNPs associated with parasite clearance in regression models. Manhattan plots showing –log10 P values for each SNP tested in EMMA models of (A) parasite clearance half-life and (C) parasite clearance time for the dataset including all study samples. Corresponding quantile–quantile plots for models of (B) parasite clearance half-life and (D) clearance time are also shown. The red lines in B and D indicate the distribution of expected P values in the absence of any association or confounding. Early deviation from the expected line suggests the presence of confounding that has not been adequately controlled for in the analysis, whereas deviations at the highest –log10 P-value ranges represent the loci most strongly associated with the phenotype. In all panels, the dashed horizontal lines indicate thresholds for genome-wide significance determined using a phenotype-permutation approach.

Shannon Takala-Harrison, et al. Proc Natl Acad Sci U S A. 2013 January 2;110(1):240-245.

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