Table 5.

Summary of variance component analyses of BMI and CR_PC variation with simultaneous adjustment for fat-related covariates and testing for G-C-G haplotype effect.

Parameter	M(BMI)	M0(BMI)	M(CR_PC)	M0(CR_PC)
σAD2	0.063 ± 0.014	0.066	0.113 ± 0.021	0.113
σRS2	0.092 ± 0.012	0.091	0.100 ± 0.016	0.103
α0	0.036 ± 0.018	0.037	0.075 ± 0.023	0.077
β1	0.878 ± 0.046	0.880	0.967 ± 0.054	0.969
β2	0.057 ± 0.022	0.063	0.004 ± 0.026	0.012
β3	0.085 ± 0.039	0.084	0.011 ± 0.046	0.010
β4	−0.044 ± 0.016	(F) 0	−0.054 ± 0.019	(F) 0
Log(LH)	−325.216	−328.901	−414.444	−418.453
LHR (p-value)		0.006		0.005

M(BMI) and M(CR_PC) are the general models of BMI and CR_PC variation, respectively. These two models include parameter estimates of the contribution of the fat-related (FM, PLL and SK_PC) covariates and G-C-G haplotype, as well as contribution of the putative additive genetic, σ_AD² and environmental, σ_RS² factors. M₀(BMI) and M₀(CR_PC) are the restricted models, in which contribution of the G-C-G haplotype, measured by regression coefficient β₄, was neglected (restricted to null). Contribution of fat-related covariates as measured by the regression coefficients, β₁, β₂, and β₃, respectively was allowed; α₀: regression intercept. 898 individuals, in whom the M1–M2–M3 haplotypes have been unambiguously reconstructed, were included in this analysis. The restricted models show that despite highly substantial contribution of the fat-related phenotypes to variation of BMI and CR_PC, the contribution of G-C-G haplotype to their respective variations cannot be neglected without significant loss of data fitting, and therefore these models were rejected.