Table 3.
GENE SYMBOL | # OF SNPS TESTED | # OF SIGNIFICANT SNPS | # OF INDEPENDENT SIGNALS | EMPIRICAL P-VALUE | ||
---|---|---|---|---|---|---|
Beta EEG | DSM-V AUD | Beta EEG | DSM-V AUD | |||
DSE | 602 | 163 | 89 | 5 | <0.000 | 0.095 |
CTBP2 | 780 | 53 | 64 | 5 | 0.019 | 0.044 |
ZEB2 | 218 | 23 | 43 | 5 | 0.032 | 0.022 |
MCTP1 | 1651 | 140 | 110 | 5 | 0.044 | 0.068 |
RND3 | 90 | 4 | 3 | 1 | 0.046 | 0.210 |
TNS3 | 936 | 52 | Not tested | 5 | 0.065 | Not tested |
MRC2 | 167 | 15 | Not tested | 5 | 0.082 | Not tested |
F11R | 180 | 16 | Not tested | 5 | 0.125 | Not tested |
MARCKS | 61 | 20 | Not tested | 5 | 0.176 | Not tested |
CPSF3L | 103 | 10 | Not tested | 5 | 0.204 | Not tested |
TRPM2 | 270 | 7 | Not tested | 5 | 0.267 | Not tested |
ADGRE2 | 317 | 19 | Not tested | 5 | 0.319 | Not tested |
TGFBI | 142 | 4 | Not tested | 4 | 0.345 | Not tested |
DSEL | 77 | 3 | Not tested | 5 | 0.374 | Not tested |
PXN | 143 | 6 | Not tested | 5 | 0.404 | Not tested |
HFE | 115 | 22 | Not tested | 5 | 0.583 | Not tested |
SLC27A3 | 46 | 4 | Not tested | 3 | 0.591 | Not tested |
AHR | 117 | 11 | Not tested | 5 | 0.608 | Not tested |
FCGR1A | 4 | 0 | Not tested | 0 | 1.000 | Not tested |
TAX1BP3 | 115 | 0 | Not tested | 1 | 1.000 | Not tested |
Note: Following the identification of DSE related genes identified via GeneMANIA, gene-based tests of association with fast beta EEG were conducted in PLINK (Purcell et al., 2003), using set-based analyses (“--set-test”). Gene-based tests included all available SNPs in a given gene, corrected for the number of independent signals (i.e., linkage disequilibrium blocks) within that gene set. In addition, all association models were adjusted for the relatedness in the family sample, sex, log-transformed age, and ancestry. Tests of association were accepted as significant if the 100,000 permutations of the set-based regression analysis produced an empirical p-value <0.05. Subsequently, these procedures were repeated for tests of gene-based association with DSM-V AUD severity only among genes that were associated with beta EEG. Table 3 details the number of SNPs examined in each gene-set, the number of SNPs within each gene-set associated with beta EEG and AUD (p<0.05), the number of independent signals represented among each of the SNPs tested, and the empirical p-value based on 100,000 permutations.