Table 4.
Results of multiple regression analyses: associations between CLU genotype at rs1532278 and ventricular volume expansion
| rs1532278 CC vs CT/TT | Effect of CLU genotype (covariates: age, sex, and diagnosis) | Effect of CLU genotype (covariates: age, sex, diagnosis, and ApoE status) |
|---|---|---|
| 12 month follow-up (N = 622, 235 CC + 387 CT/TT) | ||
| Total expansion (cubic millimeters) | F ratio = 9.313a | F ratio = 9.449 |
| p = 0.002 | p = 0.002 | |
| R2 = 0.151b | R2 = 0.163 | |
| Left expansion (cubic millimeters) | F ratio = 7.709 | F ratio = 7.816 |
| p = 0.006 | p = 0.005 | |
| R2 = 0.139 | R2 = 0.151 | |
| Right expansion (cubic millimeters) | F ratio = 10.030 | F ratio = 10.169 |
| p = 0.002 | p = 0.002 | |
| R2 = 0.149 | R2 = 0.161 | |
| 24 month follow-up (N = 479; 186 CC + 293 CT/TT) | ||
| Total expansion (cubic millimeters) | F ratio = 4.632 | F ratio = 4.937 |
| p = 0.032 | p = 0.027 | |
| R2 = 0.229 | R2 = 0.259 | |
| Left expansion (cubic millimeters) | F ratio = 4.406 | F ratio = 4.690 |
| p = 0.036 | p = 0.031 | |
| R2 = 0.222 | R2 = 0.252 | |
| Right expansion (cubic millimeters) | F ratio = 4.236 | F ratio = 4.495 |
| p = 0.040 | p = 0.035 | |
| R2 = 0.211 | R2 = 0.239 |
aIn multiple regressions, the F ratio is used to test the hypothesis that the slopes of the regression lines are 0. The F statistic is large when the independent variable helps to explain the variation in the dependent variable, independently of the other explanatory variables that are regressed out. For instance, here we reject the hypothesis that the slope of the regression line is 0 (F ratio = 9.313, p = 0.002), meaning that there is a significant linear relation between rs1532278 genotype and total ventricular expansion, independently of age, sex, and diagnosis.
bR2 is the correlation coefficient based on the corrected model.