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. 2015 Jul 2;2:15019. doi: 10.1038/hgv.2015.19

Table 2. Gene–gene interaction analysis of serum ALP levels followed by analysis of variance.

Estimate s.e. t value P value (>|t|)
(A) Linear multiple regression
(Intercept) 5.314 0.0375 141.52 <2.00×10−16
Age 0.002 0.0004 3.82 1.35×10−04
Sex −0.179 0.0099 −18.18 <2.00×10−16
BMI 0.007 0.0015 4.58 4.83×10−06
rs550057 −0.241 0.0138 −17.54 <2.00×10−16
rs2071699 −0.063 0.0094 −6.72 2.10×1011
rs550057:rs2071699 0.045 0.0133 3.37 7.64×10−04
Degree of freedom Sum of squares Mean squares F value P value (>F) Variance explained
(B) Analysis of variance
Age 1 3.41 3.41 53.6 3.14×10−13 0.013
Sex 1 28.41 28.41 446.4 <2.20×10−16 0.110
BMI 1 1.32 1.32 20.7 5.49×10−06 0.005
rs550057 1 31.80 31.80 499.6 <2.20×10−16 0.124
rs2071699 1 2.39 2.39 37.5 1.02×10−09 0.009
rs550057:rs2071699 1 0.72 0.72 11.4 7.64×10−04 0.003
Residuals 2,976 189.41 0.06 0.736

Abbreviations: ALP, alkaline phosphatase; BMI, body mass index.

(A) Regression analysis of log-transformed serum ALP levels with the covariates age, sex, BMI, rs550057, rs2071699 and the interaction term between rs550057 and rs2071699 (as shown as rs550057:rs2071699). The mode of inheritance was assumed as T-allele dominant for rs550057 and as an additive for rs2071699.

(B) The explained variance was calculated as the proportion of the variance of the log-transformed serum ALP levels divided by the variable.