Our study of EEG data from 8,425 individuals found genome‐wide significant hits—that is, genetic variants associated with EEG signal variation—although these did not remain significant when correcting across the various EEG phenotypes tested (i.e., the five oscillation frequency powers and alpha peak frequency). The association results are available upon request via http://enigma.ini.usc.edu/ongoing/enigma‐eeg‐working‐group/. Our application procedure requires filling out a short form with contact information and requires the requestor to agree with the ethical statement regarding the download of genetic association data. The biological function of the SNPs was investigated using several gene‐based and gene expression‐based approaches. These results highlighted several significant effects across the genome. One important region associated with alpha oscillations was found on 3p21.1, which holds many genes associated with risk for schizophrenia and bipolar disorder (Ripke et al., 2014; Stahl et al., 2019). Brain expression analysis found significant effects on GNL3 and ITIH4 expression in prefrontal cortices, explaining the observed aberrant brain activity in schizophrenia. Recently, a study found that the genetic variants in the 3p21.1 region affect expression of NEK4, GNL3, and PBRM1 in the frontal
