A genome wide association study of fast beta EEG in families of European ancestry.

作者: Jacquelyn L. Meyers , Jian Zhang , Niklas Manz , Madhavi Rangaswamy , Chella Kamarajan

DOI: 10.1016/J.IJPSYCHO.2016.12.008

关键词: Genome-wide association studyEndophenotypeExpression quantitative trait lociBiologyBeta RhythmTemporal cortexGenetic associationSNPGeneticsGABRA2

摘要: Abstract Background Differences in fast beta (20–28 Hz) 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 high heritability estimates provided twin family studies, there have been relatively few genetic studies EEG, to date only one association finding has replicated (i.e., GABRA2 ). Method In sample 1564 from 117 families European Ancestry (EA) drawn Collaborative Study on Genetics Alcoholism (COGA), we performed Genome-Wide Association (GWAS) resting-state fronto-central EEG power, adjusting regression models relatedness, age, sex, ancestry. To further characterize findings, examined functional behavioral significance GWAS findings. Results Three intronic variants located within DSE (dermatan sulfate epimerase) 6q22 were associated at genome wide significant level ( p − 8 The most SNP was rs2252790 ; MAF = 0.36; β = 0.135). is an eQTL ROS1 expressed robustly temporal cortex  = 1.2 × 10 − 6 ) / TSPYL4 hippocampus  = 7.3 × 10 − 4 β = 0.29). Previous indicated involved network genes integral membrane organization; gene-based tests several this DSE, ZEB2, RND3, MCTP1, CTBP2 also (empirical ZEB2 DSM-V Alcohol Use Disorder (AUD; empirical Discussion EA enriched AUDs, 6q22; influences mRNA expression cortex, brain regions important activity. Gene-based suggest evidence related genes, CTBP2, EEG. Converging data GWAS, gene expression, gene-networks presented study provide support role hyperexcitability, highlighted two potential candidate AUD and/or neurological conditions: . However, results must large, independent samples.

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