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. Author manuscript; available in PMC: 2010 Nov 8.
Published in final edited form as: Mamm Genome. 2009 Aug 6;20(9-10):681–698. doi: 10.1007/s00335-009-9209-2

Table 6.

Regression analysis of the interaction between a chromosome 3 locus (epiEG3.1, corresponding to marker rs13477017) and a chromosome 6 locus (epiEG6.1, corresponding to marker gnf06.032.524) affecting growth (weight gain) from week 1 to week 2

Effect Estimate SE LPR %
aA −0.013 0.027 0.20
dA 0.046 0.034 0.76
iA −0.009 0.027 0.13
aB −0.006 0.029 0.08
dB −0.002 0.036 0.02
iB 0.017 0.029 0.25
aa −0.097 0.034 2.35 0.50
ad −0.040 0.047 0.41
ai −0.022 0.035 0.27
da 0.101 0.047 1.52 0.27
dd 0.039 0.064 0.27
di 0.153 0.046 3.10 0.62
ia −0.021 0.036 0.26
id −0.028 0.048 0.25
ii 0.148 0.034 4.81 1.16

The 15 genetic-effect estimates were fitted using the regression model shown in Eq. 12 and the genotypic index scores shown in Table 1. The single-locus effects with the subscript A correspond to the effects of epiEG3.1 while those with the subscript B correspond to the locus epiEG6.1. Together, the significance test of the epistatic interaction has an LPR of 5.54. The combined effects of the locus explain 2.8% of the phenotypic variance (2.5% for significant effects). An LPR value of 1.3 corresponds to a p value of 0.05. Significant effects are highlighted in boldface. Other details are given in Table 5