<p>The figure shows the empirical power given the significance level of 0.05. Top row: 50 variants included in the tests; middle row: 100 variants; bottom row: 150 variants. The <i>x</i>-axis is the overall population attributable risk (PAR) for all causal loci, whereas the <i>y</i>-axis is the power.</p
<p>Each box corresponds to a different proportion of causal variants involved in the relationship be...
<p>All causal variants have a deleterious effect. Each box corresponds to a different proportion of ...
<p>Power of finding at least one casual variant for model 1, 2, and 3 (depicted in <b>a</b>, <b>b</b...
<p>The figure shows the empirical power given the significance level of 0.05. Top row: 50 variants i...
<p>Each box corresponds to a different proportion of causal variants involved in the relationship be...
<p>Each box corresponds to a different proportion of causal variants involved in the relationship be...
<p>The figure shows the power comparison by <i>r<sub>isk</sub></i> (left column, given PAR = 0.3% an...
<p>The figure shows the empirical power at . Top panel: clustered causal variants; bottom panel: non...
<p>The sample size is 1000. The between-factor correlation is 0.3 and the within-factor correlation ...
<p>Powers were calculated for nominal α levels 0.05 (left) and 0.01(right) and for dichotomous trait...
<p>The sample size is 1000. Covariance matrix of 10 traits is similar to that of 10 quantitative tra...
<p>Analytic locus-wide power at <i>α</i> = 0.05 of the BC-CA (lower bound), collapsing, and summing ...
<p>The x-axis is the heritability and the y-axis is the estimated power. The colored dashed lines co...
<p>Power to detect association in a region is shown for the Generalised C-alpha test, SKAT-O and the...
<p>Powers were calculated for nominal α levels 0.05 (left) and 0.01(right) and for dichotomous trait...
<p>Each box corresponds to a different proportion of causal variants involved in the relationship be...
<p>All causal variants have a deleterious effect. Each box corresponds to a different proportion of ...
<p>Power of finding at least one casual variant for model 1, 2, and 3 (depicted in <b>a</b>, <b>b</b...
<p>The figure shows the empirical power given the significance level of 0.05. Top row: 50 variants i...
<p>Each box corresponds to a different proportion of causal variants involved in the relationship be...
<p>Each box corresponds to a different proportion of causal variants involved in the relationship be...
<p>The figure shows the power comparison by <i>r<sub>isk</sub></i> (left column, given PAR = 0.3% an...
<p>The figure shows the empirical power at . Top panel: clustered causal variants; bottom panel: non...
<p>The sample size is 1000. The between-factor correlation is 0.3 and the within-factor correlation ...
<p>Powers were calculated for nominal α levels 0.05 (left) and 0.01(right) and for dichotomous trait...
<p>The sample size is 1000. Covariance matrix of 10 traits is similar to that of 10 quantitative tra...
<p>Analytic locus-wide power at <i>α</i> = 0.05 of the BC-CA (lower bound), collapsing, and summing ...
<p>The x-axis is the heritability and the y-axis is the estimated power. The colored dashed lines co...
<p>Power to detect association in a region is shown for the Generalised C-alpha test, SKAT-O and the...
<p>Powers were calculated for nominal α levels 0.05 (left) and 0.01(right) and for dichotomous trait...
<p>Each box corresponds to a different proportion of causal variants involved in the relationship be...
<p>All causal variants have a deleterious effect. Each box corresponds to a different proportion of ...
<p>Power of finding at least one casual variant for model 1, 2, and 3 (depicted in <b>a</b>, <b>b</b...
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