Through a matrix superimposition of eigenvectors (scale-free trajectories of variation identified by PCA) we show that some groups contribute more to the trajectories of variation identified in a common morphospace.
No statistically significant difference was observed between patients and controls in the frequency of any DNA sequence variation identified in this study.
Therefore, in this analysis our common morphospace did not correspond well to the major axes of variation identified in the different lake assemblages.
Intraspecific variation identified in this study was similar to that in North American breeding birds: 0.24% vs. 0.23% and 0.27% [9], [16].
Thus, variation identified by PC1, which accounted for more than 23.7% of the variance in our original PCA, was now largely absent from the data set.
The geographic heterogeneity in genetic variation identified in this study has important implications for the identification of variants associated with disease or other clinically relevant outcomes.
We have paid particular attention to areas of variation identified in the pre-accrual cases.
Sample variation identifies common themes that transcends a focussed sample [ 15].
16 For less completely penetrant variants, there are, however, many more difficulties in assessing the significance of the variation identified.
The genetic variation identified here is mostly organized in a limited amount of haplotypes per locus (Table 4).
