Table 2.
(A) Multiple regression analysis testing overall genetic model with seven SNPs | |||
---|---|---|---|
Phenotype |
|||
Anxioustemperament | Hippocampus | Amygdala | |
P = | P = | P = | |
Additive | 0.043 | 0.0017 | NS |
D-major | 0.017 | 0.003 | NS |
D-minor | 0.032 | 0.0024 | NS |
(B) Multiple regression results for seven functional SNPs tested simultaneously | ||||
---|---|---|---|---|
Phenotype |
||||
AnxiousTemperament | Hippocampus | |||
SNP4805 | 0.014 | D-minor | 0.017 | D-minor |
SNP5043 | 0.0003 | D-major | 0.03 | D-major |
SNP5094 | 0.041 | D-minor | NS | |
SNP5886 | NS | NS | ||
SNP8689 | NS | NS | ||
SNP9009 | NS | NS | ||
SNP9026 | NS | NS |
Abbreviation: SNP, single nucleotide polymorphism.
Using a multiple regression approach after taking linkage disequilibrium into account, seven putatively functional SNPs were assessed for association with anxious temperament (AT), hippocampal metabolism or metabolism in the central amygdala. (A) The significance of the full model for each of three alternative models (additive, dominance-major (D-major) and dominance-minor (D-minor)) was assessed for each phenotype of interest. (B) The partial regressions (SNPs) were assessed for those phenotypes in which the full model was significant (AT and hippocampus). No partial regression results (SNPs) were considered for amygdale metabolism because the overall model was not statistically significant.
Bolded P-values represent P≤0.05.