The premise of most twin models is to compare intrapair correlations (the degree of relatedness for a variable within monozygotic [MZ] or dizygotic [DZ] twin pairs).
17 A significantly higher correlation of disease between MZ twins and DZ twins is a strong predictor of a genetic basis for the trait. Common to most twin models is the “equal environment assumption,” which assumes all twins share the same environment, irrespective of their zygosity. Structural equation modeling (SEM) was used to determine the combination of A (additive genetic), C (common environmental effects), D (nonadditive genetic), and E (unique environment and measurement error) that provided the most parsimonious model according to analysis with the statistical program Mx.
18 The best-fitting model, was assessed by the difference in the log likelihood between the sub and the full models (the best-fitting model was determined based on maximum-likelihood [ML] and χ
2 tests).
19 The ML analysis of each independent variable was used for sequential testing of the hypotheses about the means, variances, and covariances.
19 In the GEM twin study, the sex-limitation ADE model was applied in the analysis, as the variances for SE were significantly different between males and females. The ADE genetic model was applied, as MZ intrapair correlations were more than double that in DZ twin pairs, where common environmental factors (
C = 2
r DZ −
r MZ) had no role. All other analyses were performed with commercial software (SPSS ver. 12.1; SPSS Science, Chicago, IL, and Access and Excel; Microsoft, Redmond, WA).