<p>Powers were calculated for nominal α levels 0.05 (left) and 0.01(right) and for dichotomous traits (upper) and continuous traits (lower). Powers were evaluated for <i>I</i><sub>1</sub>, <i>I</i><sub>2</sub>, <i>p</i>*, SKAT, SKATint, VT, RB, WS and CMC. Scenarios with different sample sizes were considered. P-values were estimated using 10,000 permutations and power was evaluated using 1,000 replicates.</p
<p>Effect size is the proportion of the trait variance explained by the rare variant. Results are ba...
<p>Each box corresponds to a different proportion of causal variants involved in the relationship be...
<p>A-D, KW, MLM and LM. The “Power” was defined as the detection frequency in 500 repeats for a cert...
<p>Powers were calculated for nominal α levels 0.05 (left) and 0.01(right) and for dichotomous trait...
<p>Powers are calculated for nominal α levels 0.05 (left) and 0.01(right) and for dichotomous traits...
<p>Powers are calculated for nominal α levels 0.05 (left) and 0.01(right) and for dichotomous traits...
<p>Powers are calculated for nominal α levels 0.05 (left) and 0.01(right) and for dichotomous traits...
<p>The figure shows the empirical power given the significance level of 0.05. Top row: 50 variants i...
<p>The sample size is 1000. Covariance matrix of 10 traits is similar to that of 10 quantitative tra...
<p>The sample size is 1000. The between-factor correlation is 0.3 and the within-factor correlation ...
<p>The figure shows the empirical power given the significance level of 0.05. Top row: 50 variants i...
<p>Analytic locus-wide power at <i>α</i> = 0.05 of the BC-CA (lower bound), collapsing, and summing ...
<p>Results in Figures A and B show the effect of having both deleterious and protective rare variant...
<p>Each box corresponds to a different proportion of causal variants involved in the relationship be...
<p>Power to detect association in a region is shown for the Generalised C-alpha test, SKAT-O and the...
<p>Effect size is the proportion of the trait variance explained by the rare variant. Results are ba...
<p>Each box corresponds to a different proportion of causal variants involved in the relationship be...
<p>A-D, KW, MLM and LM. The “Power” was defined as the detection frequency in 500 repeats for a cert...
<p>Powers were calculated for nominal α levels 0.05 (left) and 0.01(right) and for dichotomous trait...
<p>Powers are calculated for nominal α levels 0.05 (left) and 0.01(right) and for dichotomous traits...
<p>Powers are calculated for nominal α levels 0.05 (left) and 0.01(right) and for dichotomous traits...
<p>Powers are calculated for nominal α levels 0.05 (left) and 0.01(right) and for dichotomous traits...
<p>The figure shows the empirical power given the significance level of 0.05. Top row: 50 variants i...
<p>The sample size is 1000. Covariance matrix of 10 traits is similar to that of 10 quantitative tra...
<p>The sample size is 1000. The between-factor correlation is 0.3 and the within-factor correlation ...
<p>The figure shows the empirical power given the significance level of 0.05. Top row: 50 variants i...
<p>Analytic locus-wide power at <i>α</i> = 0.05 of the BC-CA (lower bound), collapsing, and summing ...
<p>Results in Figures A and B show the effect of having both deleterious and protective rare variant...
<p>Each box corresponds to a different proportion of causal variants involved in the relationship be...
<p>Power to detect association in a region is shown for the Generalised C-alpha test, SKAT-O and the...
<p>Effect size is the proportion of the trait variance explained by the rare variant. Results are ba...
<p>Each box corresponds to a different proportion of causal variants involved in the relationship be...
<p>A-D, KW, MLM and LM. The “Power” was defined as the detection frequency in 500 repeats for a cert...