GO term enrichment analysis for AMD results.

<p>GO term enrichment analysis for AMD results.</p

Speed comparing with Epistasis function in PLINK.

<p>CPU time compared with the epistasis function in PLINK. This comparison is based on 3200 simulated datasets, each with 1000 case, 1000 control and 1000 variants. <i>AprioriGWAS</i> with default parameters setting is a magnitude faster than PLINK.</p

GO term enrichment analysis for Bipolar Disorder from WTCCC.

<p>GO term enrichment analysis for Bipolar Disorder from WTCCC.</p

Model 2: Threshold effects then multiplicative effects model.

<p>Theoretical models (adopted from Marchini <i>et al</i><a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1003627#pcbi.1003627-Marchini1" target="_blank">[11]</a>) for data simulations.</p

Ratio in F2 populations under different interaction models.

<p>Ratio in F2 populations under different interaction models.</p

a. Power of finding at least one causal variant for model 1; b. Power of finding at least one causal variant for model 2; c. Power of finding at least one causal variant for model 3.

<p>Power of finding at least one casual variant for model 1, 2, and 3 (depicted in <b>a</b>, <b>b</b>, and <b>c</b> respectively). The single locus test has the highest power for Model 1, which has explicit marginal effect for both interacting variants; <i>AprioriGWAS</i> has better power for the threshold model, Model 3. The X-axis is the same as <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1003627#pcbi-1003627-g001" target="_blank"><b>Figure 1</b></a>.</p

a. Power of finding both interacting variants for model 1; b. Power of finding both interacting variants for model 2; c. Power of finding both interacting variants for model 3.

<p>Power of finding both interacting variants for model 1, 2, and 3 (depicted in <b>a</b>, <b>b</b>, and <b>c</b> respectively). <i>AprioriGWAS</i> has much better power for Models 2 and 3, which do not show explicit marginal effect. The X-axis is the same as <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1003627#pcbi-1003627-g001" target="_blank"><b>Figure 1</b></a>.</p

The influence of flow-dependent oxygen transport on the model.

<p>The proportion of oxygen supply to the tumour tissue by every Strahler order in the basic case and the test case (C_c) at T = 200.</p

Parameter values used in the simulation.

<p>Parameter values used in the simulation.</p

Initial values of microvessels with different Strahler orders.

<p>Initial values of microvessels with different Strahler orders.</p