Table 2.
Gene | Numbers of SNPs | p-value* |
---|---|---|
GRIA2 | 52 | 0.034 |
GRIA4 | 87 | 0.055 |
GRIN2A | 183 | 0.095 |
GRIA3 | 97 | 0.240 |
CAMK2A | 39 | 0.290 |
GRIA1 | 127 | 0.300 |
CAMK2B | 42 | 0.330 |
MAPK14 | 32 | 0.450 |
GRIN2B | 222 | 0.470 |
MPDZ | 40 | 0.540 |
RAP1GAP | 40 | 0.62 |
SYNGAP1 | 16 | 0.66 |
GRIN1 | 11 | 0.97 |
Gene-set | 988 | 0.149 |
Gene-level p-values in the two-step analysis are based on a logistic regression analysis with the top principal components, explaining 80% of all SNP variation in each gene, as the predictors. The gene-set p-value is based on combining the gene-level p-values using Fisher’s method (Fisher, 1932), with significance assessed by permutation (see text for details).