Table 5.
GEE logit models of association between rs4950 and leadership role occupancy.
Model 1 | Model 2 | |||||
---|---|---|---|---|---|---|
OR | SE | P-value | OR | SE | P-value | |
rs4950 “A” alleles | 1.25 | 0.14 | 0.04 | 1.25 | 0.14 | 0.04 |
Male | 1.62 | 0.19 | 0.00 | |||
Age | 1.00 | 0.00 | 0.55 | |||
Principal Component 1 | 1.00 | 0.00 | 0.21 | |||
Principal Component 2 | 5.45 | 13.4 | 0.03 | |||
Principal Component 3 | 232 | 3,086 | 0.09 | |||
Principal Component 4 | 5.7E+9 | 1.8E+10 | 0.76 | |||
Principal Component 5 | 1.23 | 4.43 | 0.95 | |||
Principal Component 6 | 3.74 | 19.3 | 0.01 | |||
Principal Component 7 | 6,905 | 33,489 | 0.07 | |||
Principal Component 8 | 0.01 | 0.04 | 0.14 | |||
Principal Component 9 | 7.61 | 27.7 | 0.58 | |||
Principal Component 10 | 0.02 | 0.07 | 0.26 | |||
Intercept | 0.99 | 0.18 | 0.97 | 0.77 | 0.27 | 0.46 |
| ||||||
N | 1543 | 1543 | ||||
Pseudo R2 | 0.002 | 0.02 |
Note: Variable definitions are in the Appendix. Standard errors (SE) and P-values are also presented.