Using simultaneous equation modeling for defining complex phenotypes

BMC Genomic Data

Table 2 Results of the Simultaneous Equations Model

		Summary Statistics of the Regression Coefficients
Dependent Variable	Independent Variable	Mean	Std Dev	Lower CI	Upper CI
Glucose	Alcohol consumption ^A	1.159	0.109	0.946	1.373
	HDL	0.038	0.040	-0.040	0.116
	Sex	-0.196	0.110	-0.411	0.019
	Triglycerides	-0.311	0.034	-0.378	-0.243
	Weight ^B	*0.276*	*0.009*	*0.258*	*0.294*
HDL	Age	-0.011	0.380	-0.755	0.734
	Alcohol consumption	-5.436	186.730	-371.427	360.555
	Glucose	2.408	176.659	-343.843	348.659
	Sex	2.470	21.777	-40.212	45.153
	Triglycerides	1.215	51.391	-99.512	101.942
	Weight	-0.384	50.526	-99.414	98.647
Tryglycerides	Age	-0.005	0.043	-0.089	0.078
	*Alcohol consumption*	*3.731*	*0.126*	*3.485*	*3.978*
	*Glucose*	*-3.176*	*0.433*	*-4.025*	*-2.327*
	HDL	0.138	0.143	-0.142	0.418
	Sex	-0.661	0.653	-1.940	0.619
	*Weight*	*0.877*	*0.114*	*0.563*	*1.285*

^ABolded variables were included in the structural equation. ^BItalicized variables were direct generators in the simulation model.

ISSN: 2730-6844