<p>Relationships between components were inferred either by variable overlap, or loadings on a component greater than 0.35. Heritability of each component is colour coded (as per key) with the non-significant traits being coloured white.</p
<p>upper side triangle are phenotypic correlations, lower side triangle are genetic correlations wit...
<p>The predicted variables were regressed on the proportions of each component separately. The table...
<p>PCA plot of all <i>ARIA</i> trait Pearson correlations, clusters of traits have been marked showi...
<p>A. Correlation circle of the variables used for the PCA, projected on the first two components. B...
By using Pearson’s product-moment correlation, the accordance of the p values was estimated by selec...
<p>All positive correlations are shown in red and the negative correlations are shown in blue. The c...
<p>The 98 quantative traits are classified into clusters inferred from genetic correlations between ...
A. Principal component analysis score plot (3 principal components) of AMPH normo, AMPH hyper, EIH, ...
<p>*component was normalised (log transformed in SOLAR) due to large kurtosis</p><p><sup>†</sup>h<su...
<p>(A) Percent variance explained by each of the six principal components. (B) Variable correlation ...
International audienceMany human traits are highly correlated. This correlation can be leveraged to ...
Many human traits are highly correlated. This correlation can be leveraged to improve the power of g...
The Venn diagram of the selected genes using three methods: The principal components analysis (PCOut...
For many complex disorders, genetically relevant disease definition is still unclear. For this reaso...
Variance is primarily due to classic A-T phenotype (PC1). Red- Classic A-T phenotype (n = 3) and Blu...
<p>upper side triangle are phenotypic correlations, lower side triangle are genetic correlations wit...
<p>The predicted variables were regressed on the proportions of each component separately. The table...
<p>PCA plot of all <i>ARIA</i> trait Pearson correlations, clusters of traits have been marked showi...
<p>A. Correlation circle of the variables used for the PCA, projected on the first two components. B...
By using Pearson’s product-moment correlation, the accordance of the p values was estimated by selec...
<p>All positive correlations are shown in red and the negative correlations are shown in blue. The c...
<p>The 98 quantative traits are classified into clusters inferred from genetic correlations between ...
A. Principal component analysis score plot (3 principal components) of AMPH normo, AMPH hyper, EIH, ...
<p>*component was normalised (log transformed in SOLAR) due to large kurtosis</p><p><sup>†</sup>h<su...
<p>(A) Percent variance explained by each of the six principal components. (B) Variable correlation ...
International audienceMany human traits are highly correlated. This correlation can be leveraged to ...
Many human traits are highly correlated. This correlation can be leveraged to improve the power of g...
The Venn diagram of the selected genes using three methods: The principal components analysis (PCOut...
For many complex disorders, genetically relevant disease definition is still unclear. For this reaso...
Variance is primarily due to classic A-T phenotype (PC1). Red- Classic A-T phenotype (n = 3) and Blu...
<p>upper side triangle are phenotypic correlations, lower side triangle are genetic correlations wit...
<p>The predicted variables were regressed on the proportions of each component separately. The table...
<p>PCA plot of all <i>ARIA</i> trait Pearson correlations, clusters of traits have been marked showi...