A genome wide association study of fast beta EEG in families of European ancestry.
- Authors
- Meyers, Jacquelyn L; Zhang, Jian; Manz, Niklas; Rangaswamy, Madhavi; Kamarajan, Chella; Wetherill, Leah; Chorlian, David B; Kang, Sun J; Bauer, Lance; Hesselbrock, Victor; Kramer, John; Kuperman, Samuel; Nurnberger, John I; Tischfield, Jay; Wang, Jen Chyong; Edenberg, Howard J; Goate, Alison; Foroud, Tatiana; Porjesz, Bernice
- Year
- 2017
- Journal
- International journal of psychophysiology : official journal of the International Organization of Psychophysiology
- PMID
- 28040410
- DOI
- 10.1016/j.ijpsycho.2016.12.008
- PMCID
- PMC5426060
BACKGROUND: Differences in fast beta (20-28Hz) electroencephalogram (EEG) oscillatory activity distinguish some individuals with psychiatric and substance use disorders, suggesting that it may be a useful endophenotype for studying the genetics of disorders characterized by neural hyper-excitability. Despite the high heritability estimates provided by twin and family studies, there have been relatively few genetic studies of beta EEG, and to date only one genetic association finding has replicated (i.e., GABRA2). METHOD: In a sample of 1564 individuals from 117 families of European Ancestry (EA) drawn from the Collaborative Study on the Genetics of Alcoholism (COGA), we performed a Genome-Wide Association Study (GWAS) on resting-state fronto-central fast beta EEG power, adjusting regression models for family relatedness, age, sex, and ancestry. To further characterize genetic findings, we examined the functional and behavioral significance of GWAS findings. RESULTS: Three intronic variants located within DSE (dermatan sulfate epimerase) on 6q22 were associated with fast beta EEG at a genome wide significant level (p<5×10). The most significant SNP was rs2252790 (p<2.6×10; MAF=0.36; β=0.135). rs2252790 is an eQTL for ROS1 expressed most robustly in the temporal cortex (p=1.2×10) and for DSE/TSPYL4 expressed most robustly in the hippocampus (p=7.3×10; β=0.29). Previous studies have indicated that DSE is involved in a network of genes integral to membrane organization; gene-based tests indicated that several variants within this network (i.e., DSE, ZEB2, RND3, MCTP1, and CTBP2) were also associated with beta EEG (empirical p<0.05), and of these genes, ZEB2 and CTBP2 were associated with DSM-V Alcohol Use Disorder (AUD; empirical p<0.05).' DISCUSSION: In this sample of EA families enriched for AUDs, fast beta EEG is associated with variants within DSE on 6q22; the most significant SNP influences the mRNA expression of DSE and ROS1 in hippocampus and temporal cortex, brain regions important for beta EEG activity. Gene-based tests suggest evidence of association with related genes, ZEB2, RND3, MCTP1, CTBP2, and beta EEG. Converging data from GWAS, gene expression, and gene-networks presented in this study provide support for the role of genetic variants within DSE and related genes in neural hyperexcitability, and has highlighted two potential candidate genes for AUD and/or related neurological conditions: ZEB2 and CTBP2. However, results must be replicated in large, independent samples.
Manhattan plot of GWAS results for the fast beta EEG (20–28 Hz; bipolar derivation at the fronto-central electrode pair (F3-C3)).Negative log-transformed p-values for SNPs are plotted against base-pair position for each chromosome. Three intronic DSE variants on chromosome 6 exceeded the genome-wide significance threshold of 5 × 10−8, indicated by the red line.
Association results for fast beta EEG on Chromosome 6Y-axis denotes the −log10(p-value) for association. X-axis is the physical position on the chromosome (Mb). The most significantly associated SNP (rs2252790) is shown in purple. The extent of linkage disequilibrium (as measured by r2) between each SNP and the most significantly associated SNP is indicated by the color scale at top left. Larger values of r2 indicate greater linkage disequilibrium (LD). LD is based on hg19 1000 Genomes from the CEU sample.
| # | Section | Preview |
|---|---|---|
| 40 | Discussion | variation in ZEB2 may have broader neurobiological implications, beyond epilepsy. While no previous… |
| 41 | Discussion | Since the three genome-wide associated variants were located within an intron of DSE, this… |
| 42 | Discussion | This study also confirmed that several variants within GABRA2 were modestly (p<0.05) associated with… |
| 43 | Discussion — Limitations | Most notable is the relatively small sample size and related lack of statistical power to detect… |
| 44 | Discussion — Limitations | an effort to minimize age related differences in beta EEG genetic association findings. However,… |
| 45 | Discussion — Conclusions | To date, there have been relatively few genetic studies examining beta EEG, and only one finding… |
| 46 | Discussion — Conclusions | and CTBP2 were also associated with DSM-V AUD. Converging data from GWAS, gene expression, and… |
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External
| Title | Authors | Journal | Year | Link |
|---|---|---|---|---|
| The collaborative study on the genetics of alcoholism: Brain function. | Meyers JL et al. | — | 2023 | → |
| Genome-wide association mapping of ethanol sensitivity in the Diversity Outbred mouse population. | Parker CC et al. | — | 2022 | → |
| Genome-wide association mapping of ethanol sensitivity in the Diversity Outbred mouse population | Parker CC et al. | — | 2021 | — |
| Large-scale collaboration in ENIGMA-EEG: A perspective on the meta-analytic approach to link neurological and psychiatric liability genes to electrophysiological brain activity. | Smit DJA et al. | — | 2021 | → |
| Human brain arousal in the resting state: a genome-wide association study. | Jawinski P et al. | — | 2019 | → |
| Multivariate Analyses Reveal Biological Components Related to Neuronal Signaling and Immunity Mediating Electroencephalograms Abnormalities in Alcohol-Dependent Individuals from the Collaborative Study on the Genetics of Alcoholism Cohort. | Meda SA et al. | — | 2019 | → |
| Genome-wide association analysis links multiple psychiatric liability genes to oscillatory brain activity. | Smit DJA et al. | — | 2018 | → |