GO term enrichment analysis for Bipolar Disorder from WTCCC.

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

GO term enrichment analysis for AMD results.

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

Combining identity by descent and association in genetic case-control studies-1

E disease model. The allele test, if carried out by itself, is most powerful but, if used in conjunction with the genotype test (MaxGA), is somewhat less powerful than the test. All three tests (genotype, , MaxGA) have essentially the same power.<p><b>Copyright information:</b></p><p>Taken from "Combining identity by descent and association in genetic case-control studies"</p><p>http://www.biomedcentral.com/1471-2156/9/42</p><p>BMC Genetics 2008;9():42-42.</p><p>Published online 5 Jul 2008</p><p>PMCID:PMC2483716.</p><p></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

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

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

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

Universal primers for HBV genome DNA amplification across subtypes: a case study for designing more effective viral primers-2

<p><b>Copyright information:</b></p><p>Taken from "Universal primers for HBV genome DNA amplification across subtypes: a case study for designing more effective viral primers"</p><p>http://www.virologyj.com/content/4/1/92</p><p>Virology Journal 2007;4():92-92.</p><p>Published online 24 Sep 2007</p><p>PMCID:PMC2099425.</p><p></p>mplicon size: 1059 bp), FA1-L/FA1-L' and FA1-R (amplicon size: 1014 bp), FA4-L/FA4-L' and FA4-R (amplicon size: 1072 bp), FA2-L and FA2-R (amplicon size: 1074 bp) primer pairs respectively. Sample 3~7 are for full length genome amplification primers (WA-L and WA-R) testing (amplicon size: 3181 bp)

Universal primers for HBV genome DNA amplification across subtypes: a case study for designing more effective viral primers-1

<p><b>Copyright information:</b></p><p>Taken from "Universal primers for HBV genome DNA amplification across subtypes: a case study for designing more effective viral primers"</p><p>http://www.virologyj.com/content/4/1/92</p><p>Virology Journal 2007;4():92-92.</p><p>Published online 24 Sep 2007</p><p>PMCID:PMC2099425.</p><p></p>1059 bp), FA4-L/FA4-L' and FA4-R (amplicon size: 1072 bp) in red arrows represent the four sets of walking primers for fragment amplification. Here we select "CTTTTTC" of X ORF as the start point. FA1-L' and FA4-L' are degenerate primers