Table 2.
SNP-SNP Interaction Analysis
Gene | SNP | Combined Dataset | ADNI-1 Dataset | ADNI2/GO Dataset | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| |||||||||||||
MAF | a T | b R2 | p-value | c FWE | d FDR | eχ2 | p-value | Ta | p-value | Ta | p-value | ||
APPB2 x GSK3β | rs2585590 x rs334543 | 0.46 | 4.41 | 0.015 | 1.2 × 10−5 | 0.052 | 0.036 | 11.14 | 1.0 × 10−3 | 3.21 | 0.002 | 3.17 | 0.002 |
0.31 | |||||||||||||
| |||||||||||||
APPB2 x GSK3β | rs3098914 x rs334543 | 0.24 | −4.25 | 0.012 | 2.5 × 10−5 | 0.107 | 0.036 | 10.63 | 1.0 × 10−3 | −2.51 | 0.013 | −3.37 | 0.001 |
0.31 | |||||||||||||
| |||||||||||||
APP x GSK3β | rs457581 x rs334543 | 0.25 | 4.25 | 0.015 | 2.5 × 10−5 | 0.107 | 0.036 | 13.86 | 2.0 × 10−4 | 1.85 | 0.066 | 3.51 | 0.001 |
0.31 |
T value for SNP x SNP interaction term
R2 value represents the change in R2 when introducing the SNP x SNP interaction term into the post-hoc hierarchical linear regression model.
FWE represents the p-value when correcting for multiple comparisons using the Bonferroni procedure (4,175 tests)
FDR represents the p-value when correcting for multiple comparisons using the false discovery rate procedure
χ2 value for SNP x SNP interaction term in the post-hoc binary logistic regression model using amyloid positive/negative status as outcome