Table 6.

Results of multiple regression analyses: combined effects of CLU (rs1532278) and ApoE genotypes on ventricular volume expansion

rs1532278	Combined effects of CLU and ApoE genotypes (covariates: age, sex, and diagnosis)
	12 month follow-upa (N = 622, 28 “0” + 251 “1” + 343 “2”)c	24 month follow-upb (N = 479, 21 “0” + 199 “1” + 259 “2”)c
Total expansion (cubic millimeters)	F ratio = 7.515d	F ratio = 5.236
	p = 0.001	p = 0.006
	R2 = 0.159e	R2 = 0.238
Left expansion (cubic millimeters)	F ratio = 5.932	F ratio = 5.371
	p = 0.003	p = 0.005
	R2 = 0.145	R2 = 0.232
Right expansion (cubic millimeters)	F ratio = 8.474	F ratio = 4.489
	p < 0.001	p = 0.012
	R2 = 0.159	R2 = 0.219

^aThese subjects were used in the surface-based analyses depicted in Figure 1.

^bThese subjects were used in the surface-based analyses depicted in Figure 2.

^cParticipants coded as “0” carried two risk alleles at both loci, subjects coded as “1” carried at least one protective allele at either locus, and individuals coded as “2” carried at least one protective allele at both loci.

^dIn multiple regressions, the F ratio is used to test the hypothesis that the slopes of the regression lines are 0. The F statistic is large when the independent variable helps to explain the variation in the dependent variable, independently of the other explanatory variables that are regressed out. For instance, here we reject the hypothesis that the slope of the regression line is 0 (F ratio = 7.515, p = 0.001), meaning that there is a significant linear relation between the combined effects of rs1532278 and ApoE genotypes and total ventricular expansion, independently of age, sex, and diagnosis.

^eR² is the correlation coefficient based on the corrected model.