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. Author manuscript; available in PMC: 2018 May 1.
Published in final edited form as: Int J Psychophysiol. 2016 Dec 28;115:74–85. doi: 10.1016/j.ijpsycho.2016.12.008

Table 3.

Gene-based association of DSE-related genes, fast beta EEG, and DSM-V AUD

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.