<p>Each box corresponds to a different proportion of causal variants involved in the relationship between rare variants and continuous traits (from left to right, 10, 15, 20 and 30%). On the x-axis, effect sizes are in standard deviations and correspond to the absolute value of the average size effect.</p
<p>The analysis was based upon data for 31 traits from the GWAS catalogue. Grey dots: trait-specific...
<p>Effect sizes of the association between the characteristics and treatment outcomes as described i...
<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>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>The figure shows the empirical power given the significance level of 0.05. Top row: 50 variants i...
It is well known that dichotomizing continuous data has the effect to decrease statistical power whe...
It is well known that dichotomizing continuous data has the effect to decrease statistical power whe...
<p>The figure shows the empirical power given the significance level of 0.05. Top row: 50 variants i...
It is well known that dichotomizing continuous data has the effect to decrease statistical power whe...
<p>Powers were calculated for nominal α levels 0.05 (left) and 0.01(right) and for dichotomous trait...
&<p>: The values are differences of power between the situation with none of the causal variants (i....
&<p>: The values are differences of power between the situation with none of the causal variants (i....
<p>Disease associations are often conceptualized in two dimensions: allele frequency and effect size...
<p>The analysis was based upon data for 31 traits from the GWAS catalogue. Grey dots: trait-specific...
<p>Effect sizes of the association between the characteristics and treatment outcomes as described i...
<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>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>The figure shows the empirical power given the significance level of 0.05. Top row: 50 variants i...
It is well known that dichotomizing continuous data has the effect to decrease statistical power whe...
It is well known that dichotomizing continuous data has the effect to decrease statistical power whe...
<p>The figure shows the empirical power given the significance level of 0.05. Top row: 50 variants i...
It is well known that dichotomizing continuous data has the effect to decrease statistical power whe...
<p>Powers were calculated for nominal α levels 0.05 (left) and 0.01(right) and for dichotomous trait...
&<p>: The values are differences of power between the situation with none of the causal variants (i....
&<p>: The values are differences of power between the situation with none of the causal variants (i....
<p>Disease associations are often conceptualized in two dimensions: allele frequency and effect size...
<p>The analysis was based upon data for 31 traits from the GWAS catalogue. Grey dots: trait-specific...
<p>Effect sizes of the association between the characteristics and treatment outcomes as described i...
<p>Effect size is the proportion of the trait variance explained by the rare variant. Results are ba...