Principal component analysis identifies breed-specific hematological phenotypes.

<p>Of the 11 principal components identified in the current dataset, the first five had Eigenvalues of over 1 and cumulatively accounted for 82% of the total variance. A heatmap showing correlations between the hematological parameters and the first five principal components (PC1 to PC5) is shown in part (a). Biplots (PC1 <i>vs</i> PC2; PC1 <i>vs</i> PC3; PC4 <i>vs</i> PC5) are shown in part (b), revealing outlying breeds with principal components of greater than +2 and less than -2, representing distinctive phenotypes. These outlying breeds are labeled in the biplots.