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Heritability and molecular‐genetic basis of resting EEG activity: A genome‐wide association study
Author(s) -
Malone Stephen M.,
Burwell Scott J.,
Vaidyanathan Uma,
Miller Michael B.,
MCGUE Matt,
Iacono William G.
Publication year - 2014
Publication title -
psychophysiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.661
H-Index - 156
eISSN - 1469-8986
pISSN - 0048-5772
DOI - 10.1111/psyp.12344
Subject(s) - heritability , endophenotype , single nucleotide polymorphism , bonferroni correction , snp , genome wide association study , missing heritability problem , genetics , genetic association , psychology , electroencephalography , biology , gene , psychiatry , genotype , statistics , cognition , mathematics
Several EEG parameters are potential endophenotypes for different psychiatric disorders. The present study consists of a comprehensive behavioral‐ and molecular‐genetic analysis of such parameters in a large community sample ( N = 4,026) of adolescent twins and their parents, genotyped for 527,829 single nucleotide polymorphisms ( SNPs ). Biometric heritability estimates ranged from .49 to .85, with a median of .78. The additive effect of all SNPs ( SNP heritability) varied across electrodes. Although individual SNPs were not significantly associated with EEG parameters, several genes were associated with delta power. We also obtained an association between the GABRA2 gene and beta power ( p < .014), consistent with findings reported by others, although this did not survive Bonferroni correction. If EEG parameters conform to a largely polygenic model of inheritance, larger sample sizes will be required to detect individual variants reliably.