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High-throughput elucidation of thrombus formation
platelet integrin activation. As required, red blood cell count versus hematocrit, and platelet count versus platelet crit (i.e. count x platelet size), were highly dependent vari- ables (P<5.67 x 10-14). Platelet size (mean platelet volume) correlated positively with the expression levels of surface glycoproteins (P=0.03-1.92 x 10-14). In addition, the major- ity of surface protein expression levels correlated signifi-
cantly with the components of glycoprotein complexes, integrin αIIbb3 (CD41a, CD41b, CD61), GPIb-V-IX (CD42a, CD42b) and integrin α2b1 (CD29, CD49b) (P=0.012-6.84 x 10-11). The exception was GPVI, which showed a lower level of correlation with other glycoproteins.
Regression analysis of the markers of agonist-induced platelet activation identified associations between integrin
Figure 3. Interactions between parameters of thrombus formation, hematology, platelet surface proteins and activation markers. For 94 genotyped healthy subjects (cohort 2), multiple quantitative traits of thrombus formation, blood cell and platelet parameters, and platelet activation tendency were compared by regression analy- sis. For coding of microspots (M), parameters (P) and activation markers (A), see Table 1. Other abbreviations are explained in Figure 2. (A, B) Correlation matrices for parameters of thrombus formation. (A) Heat mapped –log P values, in which dark colors indicate highly significant correlations (white offset at P=0.05). (B) Heat mapped Pearson correlation coefficients R, in which dark colors indicate high positive or negative correlations. (C, D) Correlation matrices for age, sex and platelet quantitative traits (hematology variables, platelet glycoprotein expression levels and platelet activation markers). (C) Heat mapped –log P values, with colors as in panel A. (D) Heat mapped Pearson correlation coefficients R, with colors as in panel C. Full statistical data are provided in Online Supplementary Data File 2A-D.
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