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Genome‐wide association analysis links multiple psychiatric liability genes to oscillatory brain activity

Authors :
Damiaan Denys
Jian Zhang
Paul M. Thompson
Eco J. C. de Geus
Stephen M. Malone
Jacquelyn L. Meyers
Neda Jahanshad
Jouke-Jan Hottenga
Nicholas G. Martin
David B. Chorlian
Bernice Porjesz
Narelle K. Hansell
Sarah E. Medland
Dirk J.A. Smit
William G. Iacono
Margaret J. Wright
Yvonne Y.W. Ho
Catharina E.M. van Beijsterveldt
Scott J. Burwell
Matt McGue
Christopher D. Whelan
Dorret I. Boomsma
Adult Psychiatry
ANS - Mood, Anxiety, Psychosis, Stress & Sleep
Amsterdam Neuroscience - Brain Imaging
Biological Psychology
Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep
APH - Health Behaviors & Chronic Diseases
APH - Personalized Medicine
APH - Mental Health
APH - Methodology
Source :
Human Brain Mapping, Human brain mapping, 39(11), 4183-4195. Wiley-Liss Inc., Human Brain Mapping, 39(11), 4183-4195. Wiley-Liss Inc., Smit, D J A, Wright, M J, Meyers, J L, Martin, N G, Ho, Y Y W, Malone, S M, Zhang, J, Burwell, S J, Chorlian, D B, de Geus, E J C, Denys, D, Hansell, N K, Hottenga, J J, McGue, M, van Beijsterveldt, C E M, Jahanshad, N, Thompson, P M, Whelan, C D, Medland, S E, Porjesz, B, Lacono, W G & Boomsma, D I 2018, ' Genome-wide association analysis links multiple psychiatric liability genes to oscillatory brain activity ', Human Brain Mapping, vol. 39, no. 11, pp. 4183-4195 . https://doi.org/10.1002/hbm.24238
Publication Year :
2018
Publisher :
John Wiley and Sons Inc., 2018.

Abstract

Oscillatory activity is crucial for information processing in the brain, and has a long history as a biomarker for psychopathology. Variation in oscillatory activity is highly heritable, but the involvement of specific genetic variants, genes, and brain expression pathways remains elusive. Here, we present a genome-wide association study (GWAS) for the power of oscillations at standard frequencies (~2 Hz delta, ~6 Hz theta, ~10 Hz alpha, and ~20 Hz beta) of the electroencephalogram (EEG), followed up with gene-based and brain-expression analyses based on the extraction of RNA expression quantitative trait loci (eQTL) and imputation of gene expression in brain tissues by machine learning (Metaxcan). Five cohorts with eyes-closed resting EEG and genome-wide single nucleotide polymorphism (SNP) were included with data for 8425 participants. GWAS revealed a significant SNP for alpha oscillation power intronic to protein-coding gene PRKG2. PRKG2 is amongst the genes deleted in the 4q21 microdeletion syndrome which results in speech and mental retardation. GABRA2 -- a known genetic marker for alcohol use disorder and epilepsy -- significantly affected beta power, consistent with the relation between GABAA interneuron activity and beta oscillations, and between beta oscillations and alcohol use disorders. Twenty-four genes in region 3p21.1 -- previously linked to schizophrenia -- reached significance for alpha power, which fits well with observed aberrant oscillatory activity in schizophrenia. SNPs in this region were eQTLs for GLYCTK in hippocampal tissue, and eQTLs for GNL3 and ITIH4 in the frontal cortex. SNP-based imputation of hippocampal GABRA2 expression was significantly associated with beta oscillations and indicated associations of immune genes IL18R1 and IL1RL1 in the Hippocampus and Putamen with alpha oscillation strength. In conclusion, we successfully associated genes and genetic variants with oscillatory brain activity, some of which were previously associated with psychopathology. The results show how psychopathological liability genes affect brain functioning via cortical and subcortical brain expression.

Details

Language :
English
ISSN :
10970193 and 10659471
Volume :
39
Issue :
11
Database :
OpenAIRE
Journal :
Human Brain Mapping
Accession number :
edsair.doi.dedup.....f04e6f31d1b64c060fc20d67e8c45509