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

Overview of attention for article published in International Journal of Psychophysiology, December 2016
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Article details
Title
A genome wide association study of fast beta EEG in families of European ancestry
Published in
International Journal of Psychophysiology, December 2016
DOI 10.1016/j.ijpsycho.2016.12.008
Pubmed ID
Authors
Abstract

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 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). In a sample of 1,564 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. Three intronic variants located within DSE (dermatan sulfate epimerase) on 6q22 were associated with fast beta EEG at a genome wide significant level (p<5x10(-8)). The most significant SNP was rs2252790 (p<2.6x10(-8); MAF= 0.36; β= 0.135). rs2252790 is an eQTL for ROS1 expressed most robustly in the temporal cortex (p= 1.2x10(-6)) and for DSE/TSPYL4 expressed most robustly in the hippocampus (p=7.3x10(-4); 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). 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.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 1 2%
Unknown 63 98%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Professor 7 11%
Student > Master 7 11%
Student > Bachelor 6 9%
Researcher 5 8%
Student > Doctoral Student 4 6%
Other 11 17%
Unknown 24 38%
Readers by discipline
Readers by discipline Count As %
Psychology 11 17%
Medicine and Dentistry 7 11%
Neuroscience 5 8%
Biochemistry, Genetics and Molecular Biology 3 5%
Social Sciences 3 5%
Other 10 16%
Unknown 25 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 15 January 2017.
All research outputs
#17,774,656
of 28,928,175 outputs
Outputs from International Journal of Psychophysiology
#853
of 1,566 outputs
Outputs of similar age
#237,440
of 428,275 outputs
Outputs of similar age from International Journal of Psychophysiology
#12
of 35 outputs
Altmetric has tracked 28,928,175 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,566 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one is in the 43rd percentile – i.e., 43% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 428,275 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.