Table 4.
The coefficients estimated by the QIF and pQIF methods.
| Variables | QIF (S.E)a | pQIF |
|---|---|---|
| Intercept | 3.438 (1.458) | 0.054 |
| Age | 6.903 (2.391) | 2.199 |
| Gender | 2.829 (1.082) | — |
| Smoking | 1.170 (0.861) | — |
| AGTR1 | −4.546 (1.697) | −0.889 |
| ADRA1B | −0.916 (0.627) | — |
| GNAQ | −3.311 (1.335) | — |
| PLCB3 | −0.008 (0.611) | — |
| PRKCA | −1.598 (0.953) | — |
| PPP1CA | 1.906 (0.857) | — |
| CAMK2A | −0.535 (0.532) | — |
| CALM3 | −1.593 (0.690) | — |
| RYR2 | −0.883 (0.645) | — |
| PPP2CA | 4.688 (1.826) | — |
| CREB3L2 | −0.240 (0.367) | — |
AGTR1, ADRA1B, GNAQ, PLCB3, PRKCA, PPP1CA, CAMK2A, CALM3, RYR2, PPP2CA, and CREB3L2 were genes in the Ca2+/AT-IIR/α-AR signaling pathway. Other covariates in the analysis were age, gender, and tobacco smoking. The notation “—” indicates that the coefficient of the related variable was penalized to 0.
aS.E = standard error of the coefficient estimate.