rate of EEG recording. An advantage of EEG connectivity is the ability to assess local and distal connectivity patterns as a function of frequency band, as aspects of neural function and connectivity patterns between brain regions are specific to EEG frequency2 . EEG coherence is a notable measure of functional connectivity that has been studied extensively3,4. Further, EEG coherence phenotypes are highly heritable5 and have demonstrated important utility in genetic studies of neuropsychiatric disorders, including AUD6,7. For example, highly significant linkage and association for theta coherence at parietal-occipital leads were found8,9 in the same GABRA2 variants associated with AD10. Given its exquisite temporal resolution, EEG coherence is a promising neural endophenotype, which alongside clinical and fMRI data, with its powerful spatial resolution, can aid in the discovery of novel genetic variants for neuropsychiatric disorders and further our understanding of neural and molecular mechanisms of AUD. Despite the promise of EEG coherence as an endophenotype for AUD or other neuropsychiatric disorders, we know of no prior GWAS (Genome-Wide Association Study) of resting state EEG coherence, and only a single previous GWAS of theta inter-trial phase coherence during the P300 window conducted by Malone and colleagues, which identified a region on chromosome
