Model | −2 LL | df | AIC | Δdf | Δχ2
|
pvalue | Â |
h
2
| 95% CI |
|---|
ACE | 51399.9 | 4737 | 41925.9 | - | - | - | A | 0.58 | (0.51-0.66) |
| Â | Â | Â | Â | Â | Â | Â | C | 0.24 | (0.17-0.30) |
| Â | Â | Â | Â | Â | Â | Â | E | 0.18 | (0.16-0.20) |
AE | 51438.7 | 4738 | 41962.7 | 1 | 39 | 4.70x10-10
| A | 0.83 | (0.81-0.84) |
| Â | Â | Â | Â | Â | Â | Â | C | - | - |
| Â | Â | Â | Â | Â | Â | Â | E | 0.18 | (0.16-0.19) |
CE | 51608.4 | 4738 | 42132.4 | 1 | 209 | 2.92x10-47
| A | - | - |
| Â | Â | Â | Â | Â | Â | Â | C | 0.62 | (0.59-0.64) |
| Â | Â | Â | Â | Â | Â | Â | E | 0.38 | (0.36-0.41) |
- Full (ACE) and nested (AE and CE) model estimates are presented. Nested sub-models test the hypothesis that the estimated additive polygenic genetic variance component (model CE) and the shared familial environmental component (model AE) do not contribute to the observed phenotypic variance. The full ACE model is the best-fit model, since the more parsimonious sub-models do not fit the data as well (p < < 0.05). The model with the lowest AIC fit statistic also indicates best model fit. Abbreviations: -2 LL: minus twice the log-likelihood; AIC: Akaike’s Information Criterion; Δχ
2: likelihood ratio chi square statistic; A – additive polygenic variance component, C – common familial environment, E – unique environmental variance (and measurement error) specific to the individual.
