. Author manuscript; available in PMC: 2014 Nov 1.

Published in final edited form as: Genet Epidemiol. 2013 Oct 1;37(7):686–694. doi: 10.1002/gepi.21761

Table 2.

Characteristics of the simulated disease models.

		Information loss by ignoring a SNP

		h²	SNP1	SNP2	SNP3	SNP4	SNP5
	simGWA	0.04	0.00	0.27	0.00	0.00	0.74
Pure marginal effect	GWAsimulator	0.04	0.00	0.26	0.00	0.00	0.75

	simGWA	0.19	0.54	0.60	0.26	0.26	0.20
Interaction model	GWAsimulator	0.08	0.31	0.32	0.20	0.20	0.39

Models were built using simGWA and the GWAsimulator when there was no interaction or there were 2 interacting SNP pairs (SNP1 and SNP2, SNP3 and SNP4). Of the 5 SNPs, 3 do not have any marginal effect (SNP1, SNP3, SNP4). The 3rd column in the table shows the proportion of disease variation that is explainable by the joint effect of all 5 SNPs (heritability of disease). The next few columns summarize the genetic information loss by ignoring any of the 5 SNPs