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Calculating h2.xy in both directions allows a genetic correlation (rg) to be calculated, which estimates genetic overlap between extreme scores [ Knopik et al., 1997]: (β x y × β y x ) (β x × β y ) where β xy is bivariate heritability using the first variable of interest as the selection variable, β yx is the reverse, and β x and β y are h2g estimates for each phenotype.
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We also estimated sex-specific heritability using bivariate analysis of traits stratified by sex.
We model the distribution of this bivariate binary endpoint using the bivariate probit model.
Statistical analysis included bivariate correlations using the Pearson product-moment coefficient correlation.
Estimates of heritability for traits using the bivariate animal model were lower than the corresponding heritabilities reported by AAA or obtained by the weighted univariate animal model using DEBV (results not shown).
The estimated heritabilities for traits using the bivariate animal model were lower than the corresponding heritabilities reported by AAA (Table 2).
Bivariate analysis was done using the Chi Square test.
Bivariate associations were tested using the Pearson chi-squared test.
Bivariate comparisons were evaluated using the chi-square test.
Bivariate correlations were calculated using the Pearson correlation coefficient.
Bivariate relationships were examined using the Pearson correlation analysis.
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