TABLE 2.
Age of onset (AOO) | SANS | SAPS | Cognition | Community functioning | |
---|---|---|---|---|---|
Phenotypic correlation with AOO | −0.196 (.003)* | −0.228 (.045)* | 0.295 (.030)* | 0.318 (.008)* | |
Genetic correlation with AOO | −1.00 (.007)* | −1.00 (.296) | 1.00 (.150) | 1.00 (.590) | |
Bivariate heritability with AOOa | −0.447 | −0.258 | 0.337 | 0.124 | |
Environmental correlation with AOO | 1.00 (.078) | 0.103 (.889) | −0.106 (.840) | 0.248 (.388) | |
Heritabilityb | 0.198 (.277) | 0.977 (<.001)* | 0.853 (.003)* | 0.835 (.013)* | 0.320 (.182) |
Note: p value in parentheses. Analyses were conducted in SOLAR using the t-distribution function and age and sex as covariates. Higher SANS and SAPS scores indicate more severe symptoms and higher cognition and community factor scores indicate better functioning.
Bivariate heritability (also known as standardized genetic covariance) is calculated by multiplying the square root of the heritability of the first phenotype by the square root of the heritability of the second phenotype by the genetic correlation (e.g., h of age of onset * h of negative symptoms * Rg of age of onset and negative symptoms). The individual heritabilities are estimated within a model that contains both phenotypes (i.e., they differ slightly from the univariate phenotypes presented in the table above). Bivariate heritability therefore captures the total genetic effect explained by the two phenotypes.
Univariate heritability.
Significant at p = .05.