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. Author manuscript; available in PMC: 2018 May 1.
Published in final edited form as: Int J Psychophysiol. 2016 Nov 19;115:40–56. doi: 10.1016/j.ijpsycho.2016.11.008

Table 6.

Bivariate biometric and GCTA analyses.

Measure 1 Measure 2 Biometric GCTA Genetic r (SE)
Phenotypic r (95% CI) Genetic r (95% CI)
Delta-Pz energy P3 0.799 (0.787–811) 0.864 (0.835–0.890) 0.962 (0.122)a
Delta-Pz ITPC P3 0.428 (0.400–0.455) 0.593 (0.522–0.661) 1.000 (0.362)a
Theta-Fz energy P3 0.303 (0.268–0.337) 0.414 (0.339–0.487) 0.490 (0.377)
Theta-Fz ITPC P3 0.165 (0.129–0.200) 0.190 (0.081–0.298) 0.285 (0.617)
Delta-Pz energy Theta-Fz energy 0.413 (0.381–0.444) 0.469 (0.396–0.538) 0.852 (0.274)a
Delta-Pz energy Delta-Pz ITPC 0.348 (0.319–0.377) 0.432 (0.346–0.515) 0.289 (0.340)
Theta-Fz energy Theta-Fz ITPC 0.201 (0.165–0.235) 0.172 (0.059–0.282) 1.000 (0.917)
Delta-Pz ITPC Theta-Fz ITPC 0.241 (0.207–0.274) 0.412 (0.280–0.539) 1.000 (0.812)

“Phenotypic r” is the correlation based on the model-expected family covariance matrix. “Biometric Genetic r” is the correlation for the latent variable A representing additive genetic influences, based on the same model as the phenotypic correlation. The GCTA “Genetic r” is the correlation between each pair of traits based on the SNPs on the Illumina array. A threshold of 0.05 was used on the GRM to select unrelated individuals.

a

Significant by likelihood ratio test.