Abstract:The resting EEG is a dynamic index of cortical activation, cognitive function and consciousness and is therefore an intermediate phenotype for many behaviors in which arousal is implicated such as anxiety and alcoholism. We performed a dense whole genome linkage scan using 3878 unlinked SNPs in a large pedigree derived from a population isolate sample of 328 Plains American Indians. Alpha (8–13 Hz), theta (4–8 Hz) and beta (13–30 Hz) EEG power was heritable (0.58–0.27) and stable over a 2 year period (r = 0.82… Show more
“…Alleles significant (but subthreshold) for association with increased θ power were underrepresented in individuals with AUD. Reduced θ power in alcoholics had been reported for this dataset (15). The present data indicate a relationship between SGIP1 genotype and AUD.…”
supporting
confidence: 81%
“…SGIP1 and ST6GALNAC3 lie within a linkage peak on chr 1p (95-115 cM), linked to β2 EEG spectral power (16)(17)(18)(19)(20) in the COGA (27,28). UGDH, LIAS, RPL9, and KLB lie in a region of chr 4 previously linked to EEG in this Plains Indian dataset (15), together with an additional Native American population (29) and in the COGA dataset (30). Additionally, the study has identified BICD1 located on chr 12p11 as a candidate gene for resting α power variability.…”
Section: Discussionmentioning
confidence: 83%
“…We have performed GWAS in a sample of Plains American Indians, in which α (8-13 Hz), β (13-30 Hz), and θ (3-8 Hz) EEG spectral power are moderately heritable with high test-retest correlations over 2 years (15). Notably, this sample represents a population isolate evidencing a small but, as it turned out, useful degree of European admixture, and is genetically distinct from other Native American populations.…”
mentioning
confidence: 99%
“…EEG also has moderate predictive value for personality variation and psychiatric disease including depression (7), bipolar disorder (8), attention-deficit/hyperactivity disorder (9), and obsessive-compulsive disorder (10). Increased β power is associated with both alcoholism and family history of alcoholism (11,12), θ power is altered in alcoholics (13)(14)(15), and reduced α power has been associated with a family history of alcoholism and with alcoholism with comorbid anxiety disorders (16,17). However, the EEG is not clinically useful for diagnosis of any specific psychiatric disorder.…”
Complex psychiatric disorders are resistant to whole-genome analysis due to genetic and etiological heterogeneity. Variation in resting electroencephalogram (EEG) is associated with common, complex psychiatric diseases including alcoholism, schizophrenia, and anxiety disorders, although not diagnostic for any of them. EEG traits for an individual are stable, variable between individuals, and moderately to highly heritable. Such intermediate phenotypes appear to be closer to underlying molecular processes than are clinical symptoms, and represent an alternative approach for the identification of genetic variation that underlies complex psychiatric disorders. We performed a whole-genome association study on alpha (α), beta (β), and theta (θ) EEG power in a Native American cohort of 322 individuals to take advantage of the genetic and environmental homogeneity of this population isolate. We identified three genes (SGIP1, ST6GALNAC3, and UGDH) with nominal association to variability of θ or α power. SGIP1 was estimated to account for 8.8% of variance in θ power, and this association was replicated in US Caucasians, where it accounted for 3.5% of the variance. Bayesian analysis of prior probability of association based upon earlier linkage to chromosome 1 and enrichment for vesicle-related transport proteins indicates that the association of SGIP1 with θ power is genuine. We also found association of SGIP1 with alcoholism, an effect that may be mediated via the same brain mechanisms accessed by θ EEG, and which also provides validation of the use of EEG as an endophenotype for alcoholism.alcoholism | electroencephalogram | endophenotype | genetics | whole-genome association G enetic studies of behavior and psychiatric disorders are hampered by etiologic heterogeneity of these complex phenotypes. Addiction vulnerability arises from both internalizing (emotional) and externalizing (dyscontrol) behavioral dimensions (1), and both of these broad aspects of behavior are strongly influenced by early life trauma and other gene/environment interactions (2). Etiologic heterogeneity dilutes power to detect genetic effects, and is a reason for failures to detect and replicate genome-wide associations (GWAS) in complex disorders. Increasing sample size does not remove underlying heterogeneity and can introduce additional confounds. In neuropsychiatry, these considerations have led to the use of intermediate phenotypes (or endophenotypes) that are heritable, relevant to disease, and have good measurement properties and assay variation more closely related to gene function (3) as surrogates to probe the underlying biology of complex disorders.
“…Alleles significant (but subthreshold) for association with increased θ power were underrepresented in individuals with AUD. Reduced θ power in alcoholics had been reported for this dataset (15). The present data indicate a relationship between SGIP1 genotype and AUD.…”
supporting
confidence: 81%
“…SGIP1 and ST6GALNAC3 lie within a linkage peak on chr 1p (95-115 cM), linked to β2 EEG spectral power (16)(17)(18)(19)(20) in the COGA (27,28). UGDH, LIAS, RPL9, and KLB lie in a region of chr 4 previously linked to EEG in this Plains Indian dataset (15), together with an additional Native American population (29) and in the COGA dataset (30). Additionally, the study has identified BICD1 located on chr 12p11 as a candidate gene for resting α power variability.…”
Section: Discussionmentioning
confidence: 83%
“…We have performed GWAS in a sample of Plains American Indians, in which α (8-13 Hz), β (13-30 Hz), and θ (3-8 Hz) EEG spectral power are moderately heritable with high test-retest correlations over 2 years (15). Notably, this sample represents a population isolate evidencing a small but, as it turned out, useful degree of European admixture, and is genetically distinct from other Native American populations.…”
mentioning
confidence: 99%
“…EEG also has moderate predictive value for personality variation and psychiatric disease including depression (7), bipolar disorder (8), attention-deficit/hyperactivity disorder (9), and obsessive-compulsive disorder (10). Increased β power is associated with both alcoholism and family history of alcoholism (11,12), θ power is altered in alcoholics (13)(14)(15), and reduced α power has been associated with a family history of alcoholism and with alcoholism with comorbid anxiety disorders (16,17). However, the EEG is not clinically useful for diagnosis of any specific psychiatric disorder.…”
Complex psychiatric disorders are resistant to whole-genome analysis due to genetic and etiological heterogeneity. Variation in resting electroencephalogram (EEG) is associated with common, complex psychiatric diseases including alcoholism, schizophrenia, and anxiety disorders, although not diagnostic for any of them. EEG traits for an individual are stable, variable between individuals, and moderately to highly heritable. Such intermediate phenotypes appear to be closer to underlying molecular processes than are clinical symptoms, and represent an alternative approach for the identification of genetic variation that underlies complex psychiatric disorders. We performed a whole-genome association study on alpha (α), beta (β), and theta (θ) EEG power in a Native American cohort of 322 individuals to take advantage of the genetic and environmental homogeneity of this population isolate. We identified three genes (SGIP1, ST6GALNAC3, and UGDH) with nominal association to variability of θ or α power. SGIP1 was estimated to account for 8.8% of variance in θ power, and this association was replicated in US Caucasians, where it accounted for 3.5% of the variance. Bayesian analysis of prior probability of association based upon earlier linkage to chromosome 1 and enrichment for vesicle-related transport proteins indicates that the association of SGIP1 with θ power is genuine. We also found association of SGIP1 with alcoholism, an effect that may be mediated via the same brain mechanisms accessed by θ EEG, and which also provides validation of the use of EEG as an endophenotype for alcoholism.alcoholism | electroencephalogram | endophenotype | genetics | whole-genome association G enetic studies of behavior and psychiatric disorders are hampered by etiologic heterogeneity of these complex phenotypes. Addiction vulnerability arises from both internalizing (emotional) and externalizing (dyscontrol) behavioral dimensions (1), and both of these broad aspects of behavior are strongly influenced by early life trauma and other gene/environment interactions (2). Etiologic heterogeneity dilutes power to detect genetic effects, and is a reason for failures to detect and replicate genome-wide associations (GWAS) in complex disorders. Increasing sample size does not remove underlying heterogeneity and can introduce additional confounds. In neuropsychiatry, these considerations have led to the use of intermediate phenotypes (or endophenotypes) that are heritable, relevant to disease, and have good measurement properties and assay variation more closely related to gene function (3) as surrogates to probe the underlying biology of complex disorders.
“…It is likely, however, that multiple genes contribute to "alpha phenotypes", and a few candidate genes were indeed found to affect alpha oscillations. So, recent genetic polymorphism studies indicated that the gene on chromosome 5q13-14 of corticotrophin releasing hormone-binding protein (CRH-BP) modulates alpha power in isolated Plains American Indians and Caucasians [85]. Moreover, a functional variation in exon 7 of the gene on chromosome 6 encoding the human GABAB receptor (GABABR1) also influences EEG voltage in the alpha range [86].…”
Section: The Alpha Activity Phenomena Hypothesismentioning
Introduction: Exploring the EEG alpha oscillations generates considerable interest because there is well known its role in cognitive and psycho emotional aspects of human life. However, till now there isn't well determined definition what is alpha activity phenomena and which indices are characterize it. Method: This article focuses on the attempt to determine EEG alpha-activity phenomena, its physical, molecular and morphological nature, to highlight its indices and their role in optimal functioning. Results: Specifically, this article examines individual alpha activity indices: 1) the individual alpha peak frequency; 2) activation magnitude measured by estimation the amount of alpha amplitude suppression in response to eyes open and individual alpha band width; 3) three alpha "autorhythmicity" indices: intra-spindle amplitude variability, spindle length and steepness. Conclusions: Throughout, the article provides a number of suggestions which alpha activity indices and in which conditions could be applied in psycho physiological investigations, what is their role in optimal functioning and what are possible directions for future research.
The high predictive value of a genetic interaction within the stress axis for the risk of comorbid AUD may be used for novel preventive and individualized therapeutic approaches.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.