Table 6.

Estimated Raw ANX Aariance due to Genetic and Environmental factors According to the Best-Fitting Longitudinal Biometric Model; Based on 4924 Observations from 1410 Twins (492 Complete Pairs and 426 Singletons); Only Random Effects are Shown.

Longitudinal AE, Occasion-Specific E-only Model	Est.	SE
Intercept variance due to:
Additive genetic effects	16.46	3.43
Nonshared environmental effects	22.14	3.30
Linear slope variance due to:
Additive genetic effects	−0.06	0.22
Nonshared environmental effects	0.05	0.21
Quadratic slope variance due to:
Additive genetic effects	0.04	0.03
Nonshared environmental effects	0.07	0.03
Covariance parameters:
Intercept-linear slope covariance due to additive genetic effects	0.14	0.21
Intercept-quadratic slope covariance due to additive genetic effects	−0.03	0.03
Linear slope-quadratic slope covariance due to additive genetic effects	−0.001	0.001
Intercept-linear slope covariance due to nonshared environmental effects	0.03	0.20
Intercept-quadratic slope covariance due to nonshared environmental effects	−0.07	0.03
Linear slope-quadratic slope covariance due to nonshared environmental effects	−0.001	0.001
Occasion-Specific Variance due to:
Nonshared environmental effects + error	22.19	0.62

Note: The longitudinal AE model here refers to the identically-named model in Table 5(a). Bold indicates p ≤.05. Est. = model estimate, SE = standard error. Fixed effects parameters included gender, mode of testing, birth year, dying in 2 years, female * die in 2 years, age, age², age³, and birth year * age.