Table 1.
Results of structural equation modelling
| A | D | C | E | AIC | p valuesa | p valuesb | |
|---|---|---|---|---|---|---|---|
| ACE | 0.30 (0.00–0.93) | 0.51 (0.00–0.86) | 0.19 (0.05–0.48) | −29,027.88 | |||
| ADE | 0.85 (0.09–0.96) | 0.00 (0.00–0.76) | 0.15 (0.04–0.39) | −29,025.59 | |||
| AE | 0.85 (0.61–0.96) | 0.15 (0.04–0.39) | −29,027.59 | 0.13 | 1.00 | ||
| DE | 0.84 (0.58–0.96) | 0.16 (0.04–0.42) | −29,023.19 | 0.01 | |||
| CE | 0.72 (0.50–0.87) | 0.28 (0.13–0.50) | −29,029.21 | 0.41 | |||
| E | 1.00 (1.00–1.00) | −29,002.13 | 0.00 | 0.00 |
Selection of the best-fitting sub-model is based on the lowest AIC value and corresponding p values. The lines are the sub-models with different combinations of genetic and environmental contributions as described above. The rows are the quantification of the different component's contribution within the sub-models.
aComparing sub-model to ACE model
bComparing sub-model to ADE model