. 2015 Jun 30;227(2-3):144–151. doi: 10.1016/j.psychres.2015.03.041

Table 5.

Parameter estimates for best fitting bivariate models: psychotic experiences and cannabis use.

	Cannabis use
	Best fitting model	Bivariate a²	Bivariate c²	Bivariate e²	r_a	r_c	r_e
Paranoia	ACE dropped r_a	–	0.72 (0.55, 0.88)	0.28 (0.12, 0.45)	–	0.76 (0.40, 1.00)	0.31 (0.13, 0.48)
Hallucinations	ACE	0.54 (−0.35, 1.47)	0.33 (−0.48, 1.10)	0.13 (−0.13, 0.40)	0.29 (−0.19, 0.78)	0.17 (−0.24, 0.57)	0.11 (−0.10, 0.31)
Cognitive disorganization	ACE dropped r_a	–	0.69 (0.47, 0.88)	0.31 (0.12, 0.53)	–	0.49 (0.24, 1.00)	0.26 (0.09, 0.42)
Parent-rated negative symptoms	ACE dropped r_a	–	1.00 (0.85, 1.19)	0.00 (−0.19, 0.15)	–	0.31 (0.18, 0.46)	0.00 (−0.23, 0.21)

Note: ACE=full model testing genetic, common and unique environmental influences; ACE dropped r_a=full model testing genetic, common and unique environmental influences with genetic correlation fixed to 0; bivariate genetic (bivariate a²), common environment (bivariate c²) and unique environment (bivariate e²) estimated indicate the proportion of phenotypic correlations explained by genetics, common and unique environment, respectively. Bivariate genetic (r_a), common environment (r_c) and unique environment (r_e) correlations indicate the genetic and environmental overlap between psychotic symptoms and cannabis use. A correlation of ‘0’ is indicative of no overlap and a correlation of ‘1’ is indicative of complete overlap in either genetic or environmental influences. 95% confidence intervals in parentheses.