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Ghosh S, Bierut LJ, Porjesz B, Edenberg HJ, Dick D, Goate A, Hesselbrock V, Nurnberger J, Foroud T, Kramer J, Rice J, Begleiter H. A novel non-parametric regression reveals linkage on chromosome 4 for the number of externalizing symptoms in sib-pairs. Am J Med Genet B Neuropsychiatr Genet 2008; 147B:1301-5. [PMID: 18454434 PMCID: PMC2879266 DOI: 10.1002/ajmg.b.30735] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
In this report, we present results of a genome-wide linkage scan using as a phenotype the number of externalizing symptoms associated with alcohol use disorders. Subjects were collected by the Collaborative Study on the Genetics of Alcoholism project from families in which at least three first degree relatives were affected by alcohol dependence. We use a novel non-parametric regression method based on kernel smoothing for our analysis. We report a statistically significant linkage close to the ADH gene cluster on Chromosome 4. We also obtain evidence for epistatic interaction between a region on Chromosome 1 and one on Chromosome 15. Although alcoholism as a covariate does not have any effect on the linkage scan, it has an effect on the epistatic interaction.
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Affiliation(s)
- Saurabh Ghosh
- Human Genetics Unit, Indian Statistical Institute, Kolkata, India.
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Kamarajan C, Porjesz B, Rangaswamy M, Tang Y, Chorlian DB, Padmanabhapillai A, Saunders R, Pandey AK, Roopesh BN, Manz N, Stimus AT, Begleiter H. Brain signatures of monetary loss and gain: outcome-related potentials in a single outcome gambling task. Behav Brain Res 2008; 197:62-76. [PMID: 18775749 DOI: 10.1016/j.bbr.2008.08.011] [Citation(s) in RCA: 58] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2007] [Revised: 07/30/2008] [Accepted: 08/04/2008] [Indexed: 11/27/2022]
Abstract
This study evaluates the event-related potential (ERP) components in a single outcome gambling task that involved monetary losses and gains. The participants were 50 healthy young volunteers (25 males and 25 females). The gambling task involved valence (loss and gain) and amount (50 cent and 10 cent) as outcomes. The outcome-related negativity (ORN/N2) and outcome-related positivity (ORP/P3) were analyzed and compared across conditions and gender. Monetary gain (compared to loss) and higher amount (50 cent compared to 10 cent) produced higher amplitudes and shorter latencies in both ORN and ORP components. Difference wave plots showed that earlier processing (200-400 ms) is dominated by the valence (loss/gain) while later processing (after 400 ms) is marked by the amount (50 cent/10 cent). Functional mapping using Low Resolution Electromagnetic Tomography (LORETA) indicated that the ORN separated the loss against gain in both genders, while the ORP activity distinguished the 50 cent against 10 cent in males. This study further strengthens the view that separate brain processes/circuitry may mediate loss and gain. Although there were no gender differences in behavioral and impulsivity scores, ORN and ORP measures for different task conditions had significant correlations with behavioral scores. This gambling paradigm may potentially offer valuable indicators to study outcome processing and impulsivity in normals as well as in clinical populations.
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Affiliation(s)
- Chella Kamarajan
- Henri Begleiter Neurodynamics Laboratory, Department of Psychiatry, SUNY Downstate Medical Center, Brooklyn, NY 11203, USA
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Dick DM, Wang JC, Plunkett J, Aliev F, Hinrichs A, Bertelsen S, Budde JP, Goldstein EL, Kaplan D, Edenberg HJ, Nurnberger J, Hesselbrock V, Schuckit M, Kuperman S, Tischfield J, Porjesz B, Begleiter H, Bierut LJ, Goate A. Family-Based Association Analyses of Alcohol Dependence Phenotypes Across DRD2 and Neighboring Gene ANKK1. Alcohol Clin Exp Res 2007; 31:1645-53. [PMID: 17850642 DOI: 10.1111/j.1530-0277.2007.00470.x] [Citation(s) in RCA: 96] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
BACKGROUND There is an extensive and inconsistent literature on the association of the dopamine D2 receptor gene (DRD2) with alcohol dependence. Conflicting results have been attributed to differences in the severity of the alcohol dependence phenotype across studies, failure to exclude related disorders from comparison groups, and artifacts of population-stratification. Recently the genetic polymorphism most widely analyzed in DRD2, Taq1A, has been discovered to reside in a neighboring gene, ankyrin repeat and kinase domain containing 1 (ANKK1), located 10 kb downstream from DRD2. METHODS To more carefully characterize evidence for association across this region, we genotyped 26 single nucleotide polymorphisms (SNPs) spanning DRD2 and ANKK1 in a sample of 219 Caucasian families (n = 1,923) from the Collaborative Study on the Genetics of Alcoholism (COGA), making this the most extensive analysis to date of association between this region and alcohol dependence. We used family-based analyses robust to population-stratification, and we made use of rich phenotypic data to analyze alcohol dependence and subtypes hypothesized in the literature to be more directly influenced by DRD2. RESULTS We found that the evidence for association is strongest in the 5' linkage disequilibrium block of ANKK1 (that does not contain Taq1A), with weak evidence of association with a small number of SNPs in DRD2. The association in ANKK1 is strongest among the subsets of alcoholics with medical complications and with antisocial personality disorder. CONCLUSIONS More extensive genotyping across DRD2 and ANKK1 suggests that the association with alcohol dependence observed in this region may be due to genetic variants in the ANKK1 gene. ANKK1 is involved in signal transduction pathways and is a plausible biological candidate for involvement in addictive disorders.
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Tang Y, Chorlian DB, Rangaswamy M, Porjesz B, Bauer L, Kuperman S, O'Connor S, Rohrbaugh J, Schuckit M, Stimus A, Begleiter H. Genetic influences on bipolar EEG power spectra. Int J Psychophysiol 2007; 65:2-9. [PMID: 17383039 DOI: 10.1016/j.ijpsycho.2007.02.004] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2006] [Revised: 01/09/2007] [Accepted: 02/13/2007] [Indexed: 11/28/2022]
Abstract
The EEG bipolar power spectra provide more localization than spectral measures obtained from monopolar referencing strategies, and have been shown to be useful endophenotypes of psychiatric disorders such as alcoholism. We estimated the additive genetic heritability of resting bipolar EEG power spectra in a large sample of non-twin sibling pairs. The corresponding heritabilities ranged between 0.220 and 0.647 and were highly significant at all 38 electrode pairs for theta (3-7 Hz), low-alpha (7-9 Hz), high-alpha (9-12 Hz), low-beta (12-16 Hz), middle-beta (16-20 Hz) and high-beta (20-28 Hz) frequency bands. The heritabilities were the highest in the high-alpha and low-beta bands at most electrode pairs. The heritabilities were most variable across the head in the three beta bands. Other heritability patterns were also identified within each frequency band. Our results suggest that substantial proportions of the variability in the bipolar EEG measures are explained by genetic factors.
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Affiliation(s)
- Yongqiang Tang
- Neurodynamics Laboratory, Department of Psychiatry, SUNY Downstate Medical Center, Brooklyn, NY, USA.
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Agrawal A, Edenberg HJ, Foroud T, Bierut LJ, Dunne G, Hinrichs AL, Nurnberger JI, Crowe R, Kuperman S, Schuckit MA, Begleiter H, Porjesz B, Dick DM. Association of GABRA2 with drug dependence in the collaborative study of the genetics of alcoholism sample. Behav Genet 2007; 36:640-50. [PMID: 16622805 DOI: 10.1007/s10519-006-9069-4] [Citation(s) in RCA: 148] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2005] [Accepted: 03/07/2006] [Indexed: 01/17/2023]
Abstract
Results from twin studies suggest that overlapping genetic factors influence alcohol dependence and illicit drug dependence. Using data from the Collaborative Study on the Genetics of Alcoholism (COGA), we examined the association between 69 SNPs in the GABAA receptor gene cluster on chromosome 4 and marijuana and illicit drug dependence, individually, and as co-occurring phenotypes with alcohol dependence. Results suggested association between marijuana dependence and illicit drug dependence with SNPs in the GABRA2 gene. Interestingly, the evidence for association previously observed with alcohol dependence came only from individuals with comorbid illicit drug dependence. There was no association with other genes in the GABAA cluster on chromosome 4 with illicit drug dependence.
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Affiliation(s)
- Arpana Agrawal
- Department of Psychiatry, Washington University in St. Louis, St. Louis, MO, USA
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Chen ACH, Porjesz B, Rangaswamy M, Kamarajan C, Tang Y, Jones KA, Chorlian DB, Stimus AT, Begleiter H. Reduced Frontal Lobe Activity in Subjects With High Impulsivity and Alcoholism. Alcohol Clin Exp Res 2007; 31:156-65. [PMID: 17207114 DOI: 10.1111/j.1530-0277.2006.00277.x] [Citation(s) in RCA: 95] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
OBJECTIVE Impulsivity is an important characteristic of many psychiatric disorders, including substance-related disorders. These disinhibitory disorders have a similar underlying genetic diathesis, with each disorder representing a different expression of the same underlying genetic liability. This study assessed whether there is a relationship between impulsivity and alcohol dependence, and their correlations with P3 (P300) amplitude, a proposed endophenotype of alcoholism. METHODS Healthy control subjects (n=58) and subjects with DSM-IV diagnosis of alcohol dependence (n=57) were assessed with a visual oddball task. Event-Related Potentials (ERPs) were recorded from 61 scalp electrodes and P3 amplitudes measured. Barratt Impulsiveness Scale (BIS), version 11, was used to evaluate impulsivity. Source localization of P3 was computed using low-resolution brain electromagnetic tomography (LORETA). RESULTS Alcoholic subjects manifested reductions in target P3 amplitudes (p<0.0001). Using LORETA, significantly reduced activation was mapped in the cingulate, medial, and superior frontal regions in alcoholic subjects and highly impulsive subjects. Alcoholic subjects had significantly higher scores on the BIS (p<0.0001) than nonalcoholic individuals. There were significant negative correlations between total scores on BIS and P3 amplitude (r=-0.274, p=0.003, on Pz; r=-0.250, p=0.007, on Cz). CONCLUSIONS Our results demonstrate a strong frontal focus of reduced activation during processing of visual targets in alcoholic subjects and individuals with higher impulsivity. The findings suggest that impulsivity may be an important factor that underlies the pathogenesis of alcohol dependence. Studies are underway to examine the relationship between impulsivity and ERPs in offspring of alcoholic subjects, and to identify genes associated with the underlying predisposition involved in disinhibitory disorders.
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Affiliation(s)
- Andrew C H Chen
- Henri Begleiter Neurodynamics Laboratory, Department of Psychiatry, SUNY Downstate Medical Center, 450 Clarkson Avenue, Brooklyn, NY 11203, USA
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7
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Rangaswamy M, Jones KA, Porjesz B, Chorlian DB, Padmanabhapillai A, Kamarajan C, Kuperman S, Rohrbaugh J, O'Connor SJ, Bauer LO, Schuckit MA, Begleiter H. Delta and theta oscillations as risk markers in adolescent offspring of alcoholics. Int J Psychophysiol 2007; 63:3-15. [PMID: 17129626 PMCID: PMC2020838 DOI: 10.1016/j.ijpsycho.2006.10.003] [Citation(s) in RCA: 69] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2006] [Revised: 09/28/2006] [Accepted: 10/04/2006] [Indexed: 01/07/2023]
Abstract
BACKGROUND Visual P300 is consistently lower in alcohol-dependent individuals, their offspring and subjects at risk. Delta and theta event-related oscillations (ERO) are the major contributors to the P300 signal. The total and evoked power in delta and theta bands in the 300 to 700 ms post-stimulus window (corresponding to the zone of P300 maxima) was compared between adolescent offspring of alcoholics (high-risk) and age-matched normal controls (low-risk), to assess the utility of the risk markers. METHODS EEG was recorded during the performance of a visual oddball task. The S-transform algorithm decomposed the EEG signals into different frequency bands and the group differences in total and evoked power in the oscillatory responses during the P300 time window (300 to 700 ms) were analyzed using a multivariate design. Similar analysis was performed on P300 peak amplitude for the target. RESULTS The high-risk group showed significantly lower parietal post-stimulus evoked and total power in the delta band for targets. A decrease in total power was seen centrally and parietally in the theta band. The P300 peak amplitude in the parietal electrodes was also significantly lower in the high-risk group. CONCLUSIONS The decreased total theta power and total and evoked delta power for visual targets in high risk individuals may serve as an endophenotypic marker in the development of alcoholism and other disinhibitory disorders. The differences seen between the offspring of alcoholics and controls may have a cholinergic basis. The ERO measures appear to be more robust than the P300 amplitude in differentiating the groups.
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Affiliation(s)
- Madhavi Rangaswamy
- Department of Psychiatry, State University of New York, Health Science Center at Brooklyn, NY 11203, USA.
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Tang Y, Chorlian DB, Rangaswamy M, O'Connor S, Taylor R, Rohrbaugh J, Porjesz B, Begleiter H. Heritability of Bipolar EEG Spectra in a Large Sib-pair Population. Behav Genet 2006; 37:302-13. [PMID: 17180712 DOI: 10.1007/s10519-006-9133-0] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2006] [Accepted: 11/09/2006] [Indexed: 11/27/2022]
Abstract
The additive genetic heritability of both monopolar and bipolar EEG spectral power in a sample of 305 non-twin sibships comprising 690 individuals (age range 7-65) was estimated in order to investigate their regional variation. The heritabilities of the bipolar EEG spectral power ranged from 0.10 to 0.63 in 38 electrode-pairs, and those of monopolar power ranged from 0.23 to 0.68 in 19 electrodes in six frequency bands from theta to high beta. The bipolar data shows significantly greater topographic variation compared to that of the monopolar data. The mean of bivariate genetic correlations were consistently lower for the bipolar data and the coefficients of variation consistently higher when compared to those of the monopolar data for each of the frequency bands. The results from the bipolar derivations are in greater accord with genetic findings in brain anatomy and show the possibility of multiple genetic sources for the phenotypic variability of EEG activity.
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Affiliation(s)
- Yongqiang Tang
- Neurodynamics Laboratory, SUNY Downstate Medical Center, Brooklyn, NY, USA
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9
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Dick DM, Aliev F, Kramer J, Wang JC, Hinrichs A, Bertelsen S, Kuperman S, Schuckit M, Nurnberger J, Edenberg HJ, Porjesz B, Begleiter H, Hesselbrock V, Goate A, Bierut L. Association of CHRM2 with IQ: converging evidence for a gene influencing intelligence. Behav Genet 2006; 37:265-72. [PMID: 17160701 DOI: 10.1007/s10519-006-9131-2] [Citation(s) in RCA: 47] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2006] [Accepted: 11/09/2006] [Indexed: 12/01/2022]
Abstract
The cholinergic neurotransmitter system is thought to be involved in many aspects of memory, attention, and higher cognition. In the Collaborative Study on the Genetics of Alcoholism (COGA) sample, we have previously reported linkage and association to the cholinergic muscarinic 2 receptor gene (CHRM2) on chromosome 7 with evoked EEG oscillations (Jones et al. 2004), providing evidence that this gene may be involved in human brain dynamics and cognition. In addition, a small number of genetic markers were genotyped in CHRM2 in the Minnesota Twin and Family Study (Comings et al. 2003) and a Dutch family study (Gosso et al. 2006, in press) and both research groups found evidence that this gene may be involved in intelligence. In the COGA sample, we have extensively genotyped SNPs within and flanking the CHRM2 gene. We find evidence of association with multiple SNPs across CHRM2 and Performance IQ, as measured by the Wechsler Adult Intelligence Scale-Revised (WAIS-R). These results remain significant after taking into account alcohol dependence and depression diagnoses in the sample.
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Affiliation(s)
- Danielle M Dick
- Department of Psychiatry, Washington University in St. Louis, 660 South Euclid Ave., Box 8134, St. Louis, MO 63130, USA.
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10
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Padmanabhapillai A, Tang Y, Ranganathan M, Rangaswamy M, Jones KA, Chorlian DB, Kamarajan C, Stimus A, Kuperman S, Rohrbaugh J, O'Connor SJ, Bauer LO, Schuckit MA, Begleiter H, Porjesz B. Evoked gamma band response in male adolescent subjects at high risk for alcoholism during a visual oddball task. Int J Psychophysiol 2006; 62:262-71. [PMID: 16887227 DOI: 10.1016/j.ijpsycho.2006.05.012] [Citation(s) in RCA: 33] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2005] [Revised: 05/02/2006] [Accepted: 05/04/2006] [Indexed: 11/30/2022]
Abstract
This study investigates early evoked gamma band activity in male adolescent subjects at high risk for alcoholism (HR; n=68) and normal controls (LR; n=27) during a visual oddball task. A time-frequency representation method was applied to EEG data in order to obtain stimulus related early evoked (phase-locked) gamma band activity (29-45 Hz) and was analyzed within a 0-150 ms time window range. Significant reduction of the early evoked gamma band response in the frontal and parietal regions during target stimulus processing was observed in HR subjects compared to LR subjects. Additionally, the HR group showed less differentiation between target and non-target stimuli in both frontal and parietal regions compared to the LR group, indicating difficulty in early stimulus processing, probably due to a dysfunctional frontoparietal attentional network. The results indicate that the deficient early evoked gamma band response may precede the development of alcoholism and could be a potential endophenotypic marker of alcoholism risk.
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Affiliation(s)
- Ajayan Padmanabhapillai
- Department of Psychiatry, State University of New York, Health Science Center at Brooklyn, SUNY, HSCB, Brooklyn, NY 11203, USA
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11
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Xuei X, Dick D, Flury-Wetherill L, Tian HJ, Agrawal A, Bierut L, Goate A, Bucholz K, Schuckit M, Nurnberger J, Tischfield J, Kuperman S, Porjesz B, Begleiter H, Foroud T, Edenberg HJ. Association of the kappa-opioid system with alcohol dependence. Mol Psychiatry 2006; 11:1016-24. [PMID: 16924269 DOI: 10.1038/sj.mp.4001882] [Citation(s) in RCA: 132] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Opioid receptors and their endogenous peptide ligands play important roles in the reward and reinforcement of drugs such as heroin, cocaine, and alcohol. The binding of dynorphins to the kappa-opioid receptor has been shown to produce aversive states, which may prevent the development of reinforcement. We genotyped SNPs throughout OPRK1, encoding the kappa-opioid receptor, and PDYN, which encodes its ligand prodynorphin, in a group of 1860 European American individuals from 219 multiplex alcohol dependent families. Family-based analyses demonstrated associations between alcohol dependence and multiple SNPs in the promoter and 3' end of PDYN, and in intron 2 of OPRK1. Haplotype analyses further supported the association of PDYN. Thus, variations in the genes encoding both the kappa-opioid receptor and its ligand, OPRK1 and PDYN, are associated with the risk for alcohol dependence; this makes biological sense as variations in either should affect signaling through the kappa-opioid system.
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Affiliation(s)
- X Xuei
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN 46202, USA.
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12
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Hayden EP, Wiegand RE, Meyer ET, Bauer LO, O'connor SJ, Nurnberger JI, Chorlian DB, Porjesz B, Begleiter H. Patterns of Regional Brain Activity in Alcohol-Dependent Subjects. Alcohol Clin Exp Res 2006; 30:1986-91. [PMID: 17117963 DOI: 10.1111/j.1530-0277.2006.00244.x] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
BACKGROUND Electroencephalographic (EEG) measures of hemispheric asymmetry in anterior brain activity have been related to a variety of indices of psychopathology and emotionality. However, little is known about patterns of frontal asymmetry in alcohol-dependent (AD) samples. It is also unclear whether psychiatric comorbidity in AD subjects accounts for additional variance in frontal asymmetry, beyond a diagnosis of AD alone. METHODS We compared 193 AD subjects with 108 control subjects on resting brain activity in anterior and posterior regions, as indexed by asymmetries in alpha band power in the left and right hemispheres. Within the AD group alone, we examined whether comorbid major depressive disorder (MDD) or antisocial personality disorder (ASPD) had effects on regional asymmetry. RESULTS Compared with control subjects, AD subjects exhibited lower left, relative to right, cortical activation in anterior regions. Evidence that comorbidity in AD subjects accounted for further variance in EEG asymmetry was mixed; AD subjects with comorbid ASPD were not significantly different from those without ASPD, while AD subjects with a lifetime history of MDD showed less asymmetry in anterior regions than those without MDD. CONCLUSIONS Our findings indicate that AD subjects exhibit a pattern of frontal asymmetry similar to that found in other psychiatric groups. Results examining the effects of comorbidity in AD on EEG asymmetry were inconclusive. The implications of our findings for future work are described.
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13
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Jones KA, Porjesz B, Chorlian D, Rangaswamy M, Kamarajan C, Padmanabhapillai A, Stimus A, Begleiter H. S-transform time-frequency analysis of P300 reveals deficits in individuals diagnosed with alcoholism. Clin Neurophysiol 2006; 117:2128-43. [PMID: 16926113 DOI: 10.1016/j.clinph.2006.02.028] [Citation(s) in RCA: 85] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2005] [Revised: 01/21/2006] [Accepted: 02/12/2006] [Indexed: 11/29/2022]
Abstract
OBJECTIVE Decomposition of event-related potential (ERP) waveforms using time-frequency representations (TFR's) is becoming increasingly common in electrophysiology. The P300 potential is an important component of the ERP waveform and has been used to study cognition as well as psychiatric disorders such as alcoholism. In this work, we aim to further understand the nature of the event-related oscillation (ERO) components which form the P300 wave and how these components may be used to differentiate alcoholic individuals from controls. METHODS The S-transform decomposition method is used to derive TFR's from single trial and trial-averaged ERP data acquired during a visual oddball task. These TFR's are averaged within time and frequency windows to provide ERO measures for further investigation. ERO measures are compared with conventional ERP amplitude measures using correlation analyses. Statistical analyses was performed with MANOVA and stepwise logistic regressions to contrast an age-matched sample of control (N=100) and alcoholic male subjects (N=100). RESULTS The results indicate that the P300 waveform, elicited using infrequent salient stimuli, is composed of frontal theta and posterior delta activations. The frontal theta activation does not closely correspond to any of the conventional ERP components and is therefore best analyzed using spectral methods. Between group comparisons and group predictions indicate that the delta and theta band ERO's, which underlie the P300, show deficits in the alcoholic group. Additionally, each band contributes unique information to discriminate between the groups. CONCLUSIONS ERO measures which underlie and compose the P300 wave provide additional information to that offered by conventional ERP amplitude measures, and serve as useful genetic markers in the study of alcoholism. SIGNIFICANCE Studying the ERP waveform using time-frequency analysis methods opens new avenues of research in electrophysiology which may lead to a better understanding of cognitive processes, lead to improved clinical diagnoses, and provide phenotypes/endophenotypes for genetic analyses.
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Affiliation(s)
- Kevin A Jones
- Neurodynamics Laboratory, Department of Psychiatry, SUNY Health Science Center, Brooklyn, New York, NY 11203, USA
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14
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Volkow ND, Wang GJ, Begleiter H, Porjesz B, Fowler JS, Telang F, Wong C, Ma Y, Logan J, Goldstein R, Alexoff D, Thanos PK. High Levels of Dopamine D2 Receptors in Unaffected Members of Alcoholic Families. ACTA ACUST UNITED AC 2006; 63:999-1008. [PMID: 16953002 DOI: 10.1001/archpsyc.63.9.999] [Citation(s) in RCA: 214] [Impact Index Per Article: 11.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
CONTEXT Predisposition to alcoholism is likely an interaction between genetic and environmental factors that confer vulnerability and protection. Alcoholic subjects have low levels of dopamine D(2) receptors in striatum, and increasing D(2) receptor levels in laboratory animals reduces alcohol consumption. OBJECTIVES To test whether high levels of D(2) receptors may be protective against alcoholism and whether this is mediated by their modulation of activity in orbitofrontal cortex and cingulate gyrus (regions involved in salience attribution, emotional reactivity, and inhibitory control). DESIGN Research (nonalcoholic subjects with a family history of alcoholism) and comparison (nonalcoholic subjects with a negative family history) sample. SETTING Outpatient setting. PARTICIPANTS Fifteen nonalcoholic subjects who had an alcoholic father and at least 2 other first- or second-degree relatives who were alcoholics (family-positive group) and 16 nonalcoholic controls with no family history of alcoholism (family-negative group). MAIN OUTCOME MEASURES Results of positron emission tomography with raclopride C 11 to assess D(2) receptors and with fludeoxyglucose F 18 to assess brain glucose metabolism (marker of brain function). Personality measures were obtained with the Multidimensional Personality Questionnaire. RESULTS Availability of D(2) receptors was significantly higher in caudate and ventral striatum in family-positive than family-negative subjects. In family-positive but not family-negative subjects, striatal D(2) receptors were associated with metabolism in anterior cingulate (Brodmann area 24/25) and orbitofrontal (Brodmann area 11) and prefrontal (Brodmann area 9/10) cortices, and with personality scores of positive emotionality. CONCLUSIONS The higher-than-normal D(2) receptor availability in nonalcoholic members of alcoholic families supports the hypothesis that high levels of D(2) receptors may protect against alcoholism. The significant associations between D(2) receptors and metabolism in frontal regions involved with emotional reactivity and executive control suggest that high levels of D(2) receptors could protect against alcoholism by regulating circuits involved in inhibiting behavioral responses and in controlling emotions.
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Affiliation(s)
- Nora D Volkow
- National Institute on Drug Abuse, 6001 Executive Boulevard, Rockville, MD 20857, USA.
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Jones KA, Porjesz B, Almasy L, Bierut L, Dick D, Goate A, Hinrichs A, Rice JP, Wang JC, Bauer LO, Crowe R, Foroud T, Hesselbrock V, Kuperman S, Nurnberger J, O'Connor SJ, Rohrbaugh J, Schuckit MA, Tischfield J, Edenberg HJ, Begleiter H. A Cholinergic Receptor Gene (CHRM2) Affects Event-related Oscillations. Behav Genet 2006; 36:627-39. [PMID: 16823639 DOI: 10.1007/s10519-006-9075-6] [Citation(s) in RCA: 49] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
We report genetic linkage and association findings which implicate the gene encoding the muscarinic acetylcholine receptor M2 (CHRM2) in the modulation of a scalp-recorded electrophysiological phenotype. The P3 (P300) response was evoked using a three-stimulus visual oddball paradigm and a phenotype that relates to the energy in the theta band (4-5 Hz) was analyzed. Studies have shown that similar electrophysiological measures represent cognitive correlates of attention, working memory, and response selection; a role has been suggested for the ascending cholinergic pathway in the same functions. The results of our genetic association tests, combined with knowledge regarding the presence of presynaptic cholinergic M2 autoreceptors in the basal forebrain, indicate that the cognitive processes required by the experiment may in part be mediated by inhibitory neural networks. These findings underscore the utility of electrophysiology and neurogenetics in the understanding of cognitive function and the study of brain-related disorders.
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Affiliation(s)
- Kevin A Jones
- Department of Psychiatry, SUNY Health Science Center, 450 Clarkson Avenue, Box 1203, Brooklyn, NY 11203, USA.
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16
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Padmanabhapillai A, Porjesz B, Ranganathan M, Jones KA, Chorlian DB, Tang Y, Kamarajan C, Rangaswamy M, Stimus A, Begleiter H. Suppression of early evoked gamma band response in male alcoholics during a visual oddball task. Int J Psychophysiol 2006; 60:15-26. [PMID: 16019097 DOI: 10.1016/j.ijpsycho.2005.03.026] [Citation(s) in RCA: 32] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2004] [Revised: 02/15/2005] [Accepted: 03/03/2005] [Indexed: 11/15/2022]
Abstract
We investigated the early evoked gamma frequency band activity in alcoholics (n=122) and normal controls (n=72) during a visual oddball task. A time-frequency representation method was applied to EEG data in order to obtain phase-locked gamma band activity (29-45 Hz) and was analyzed within a 0-150 ms time window range. Significant reduction of the gamma band response in the frontal region during target stimulus processing was observed in alcoholic compared to control subjects. In contrast, significantly higher gamma band response for the non-target stimulus was observed in alcoholics compared to controls. It is suggested that the reduction in early evoked frontal gamma band response to targets may be associated with frontal lobe dysfunction commonly observed in alcoholics. This perhaps can be characterized by a deficient top-down processing mechanism.
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Affiliation(s)
- Ajayan Padmanabhapillai
- Department of Psychiatry, Neurodynamics Laboratory, SUNY Health Science Center, Brooklyn, NY, USA
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17
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Kamarajan C, Porjesz B, Jones K, Chorlian D, Padmanabhapillai A, Rangaswamy M, Stimus A, Begleiter H. Event-related oscillations in offspring of alcoholics: neurocognitive disinhibition as a risk for alcoholism. Biol Psychiatry 2006; 59:625-34. [PMID: 16213472 PMCID: PMC3766847 DOI: 10.1016/j.biopsych.2005.08.017] [Citation(s) in RCA: 96] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/04/2005] [Revised: 07/28/2005] [Accepted: 08/10/2005] [Indexed: 11/18/2022]
Abstract
BACKGROUND Event-related oscillations (EROs) are increasingly being used to assess neurocognitive functioning in normal and clinical populations. The current study compares different frequency activities in offspring of alcoholics (OA) and in normal control subjects (NC) to examine whether the OA group exhibits any abnormality in oscillatory activity while performing a Go/NoGo task. METHODS The S-transform algorithm was employed to decompose the electroencephalographic (EEG) signals into different time-frequency bands, and the oscillatory responses in the P300 time window (300-700 milliseconds) were statistically analyzed in both groups. RESULTS The OA group manifested significantly decreased activity in delta (1-3 Hz), theta (4-7 Hz), and alpha1 (8-9 Hz) bands during the NoGo condition, as well as reduced delta and theta activity during the Go condition. This reduction was more prominent in the NoGo than in the Go condition. CONCLUSIONS The decreased response in delta, theta, and alpha1 oscillations, especially during the NoGo condition in high-risk individuals, is perhaps suggestive of cognitive and neural disinhibition and may serve as an endophenotypic marker in the development of alcoholism and/or other disinhibitory disorders.
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Affiliation(s)
- Chella Kamarajan
- Neurodynamics Laboratory, Department of Psychiatry, SUNY Downstate Medical Center, Brooklyn, New York, U.S.A
| | - Bernice Porjesz
- Neurodynamics Laboratory, Department of Psychiatry, SUNY Downstate Medical Center, Brooklyn, New York, U.S.A
| | - Kevin Jones
- Neurodynamics Laboratory, Department of Psychiatry, SUNY Downstate Medical Center, Brooklyn, New York, U.S.A
| | - David Chorlian
- Neurodynamics Laboratory, Department of Psychiatry, SUNY Downstate Medical Center, Brooklyn, New York, U.S.A
| | - Ajayan Padmanabhapillai
- Neurodynamics Laboratory, Department of Psychiatry, SUNY Downstate Medical Center, Brooklyn, New York, U.S.A
| | - Madhavi Rangaswamy
- Neurodynamics Laboratory, Department of Psychiatry, SUNY Downstate Medical Center, Brooklyn, New York, U.S.A
| | - Arthur Stimus
- Neurodynamics Laboratory, Department of Psychiatry, SUNY Downstate Medical Center, Brooklyn, New York, U.S.A
| | - Henri Begleiter
- Neurodynamics Laboratory, Department of Psychiatry, SUNY Downstate Medical Center, Brooklyn, New York, U.S.A
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18
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Edenberg HJ, Xuei X, Chen HJ, Tian H, Wetherill LF, Dick DM, Almasy L, Bierut L, Bucholz KK, Goate A, Hesselbrock V, Kuperman S, Nurnberger J, Porjesz B, Rice J, Schuckit M, Tischfield J, Begleiter H, Foroud T. Association of alcohol dehydrogenase genes with alcohol dependence: a comprehensive analysis. Hum Mol Genet 2006; 15:1539-49. [PMID: 16571603 DOI: 10.1093/hmg/ddl073] [Citation(s) in RCA: 203] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
Linkage evidence indicated that gene(s) located on chromosome 4q, in the region of the alcohol dehydrogenase (ADH) genes, affected risk for alcoholism. We genotyped 110 single nucleotide polymorphisms (SNPs) across the seven ADH genes and analyzed their association with alcoholism in a set of families with multiple alcoholic members, using the pedigree disequilibrium test. There was strong evidence that variations in ADH4 are associated with alcoholism: 12 SNPs were significantly associated. The region of strongest association ran from intron 1 to 19.5 kb beyond the 3' end of the gene. Haplotype tag SNPs were selected for the block in the ADH4 gene that provided evidence of association and subsequently used in association analysis; the haplotype was significantly associated with alcoholism (P=0.01) There was weaker evidence that variations in ADH1A and ADH1B might also play a role in modifying risk. Among African-Americans, there was evidence that the ADH1B*3 allele was protective.
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Dick DM, Bierut L, Hinrichs A, Fox L, Bucholz KK, Kramer J, Kuperman S, Hesselbrock V, Schuckit M, Almasy L, Tischfield J, Porjesz B, Begleiter H, Nurnberger J, Xuei X, Edenberg HJ, Foroud T. The role of GABRA2 in risk for conduct disorder and alcohol and drug dependence across developmental stages. Behav Genet 2006; 36:577-90. [PMID: 16557364 DOI: 10.1007/s10519-005-9041-8] [Citation(s) in RCA: 161] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2005] [Accepted: 12/22/2005] [Indexed: 10/24/2022]
Abstract
We use findings from the behavior genetics literature about how genetic factors (latently) influence alcohol dependence and related disorders to develop and test hypotheses about the risk associated with a specific gene, GABRA2, across different developmental stages. This gene has previously been associated with adult alcohol dependence in the Collaborative Study of the Genetics of Alcoholism (COGA) sample [Edenberg, H. J., Dick, D. M., Xuei, X., Tian, H., Almasy, L., Bauer, L. O., Crowe, R., Goate, A., Hesselbrock, V., Jones, K. A., Kwon, J., Li, T. K., Nurnberger Jr., J. I., O'Connor, S. J., Reich, T., Rice, J., Schuckit, M., Porjesz, B., Foroud, T., and Begleiter, H. (2004). Am. J. Hum. Genet. 74:705-714] and other studies [Covault, J., Gelernter, J., Hesselbrock, V., Nellissery, M., and Kranzler, H. R. (2004). Am. J. Med. Genet. B Neuropsychiatr. Genet. 129B:104-109; Lappalainen, J., Krupitsky, E., Remizov, M., Pchelina, S., Taraskina, A., Zvartau, E., Somberg, L. K., Covault, J., Kranzler, H. R., Krystal, J., and Gelernter, J. (2005). Alcohol. Clin. Exp. Res. 29:493-498]. In a sample of children and adolescents ascertained as part of the COGA project, we find that GABRA2 is significantly associated with childhood conduct disorder symptoms, but not with childhood alcohol dependence symptoms. A consistent elevation in risk for alcohol dependence associated with GABRA2 is not evident until the mid-20s and then remains throughout adulthood. GABRA2 is also associated with other drug dependence in our sample, both in adolescence and adulthood.
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Affiliation(s)
- Danielle M Dick
- Department of Psychiatry and Psychology, Washington University School of Medicine, St. Louis, MO 63110, USA.
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20
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Abstract
In the last three decades, much emphasis has been placed on neural oscillations in vitro, in vivo, as well as in the human brain. These brain oscillations have been studied extensively in the resting electroencephalogram (EEG), as well as in the underlying evoked oscillations that make up the event-related potentials (ERPs). There are several approaches to elucidate the possible mechanisms of these brain oscillations. One approach is to look at the neurophysiology and neurochemistry involved in generating and modulating these oscillations. Another more recent approach is to examine the genetic underpinnings of these neural oscillations. It is proposed that the genetic underpinnings of these oscillations are likely to stem from regulatory genes which control the neurochemical processes of the brain, and therefore influence neural function. Genetic analyses of human brain oscillations may identify genetic loci underlying the functional organization of human neuroelectric activity. Brain oscillations represent important correlates of human information processing and cognition. They represent highly heritable traits that are less complex and more proximal to gene function than either diagnostic labels or traditional cognitive measures. Therefore these oscillations may be utilized as phenotypes of cognition and as valuable tools for the understanding of some complex genetic disorders. Genetic loci that have been recently identified regarding both resting and evoked brain oscillations involving the GABAergic and cholinergic neurotransmitter systems of the brain are discussed. It is concluded that the advent of genomics and proteomics and a fuller understanding of gene regulation will open new horizons on the critical electrical events so essential for human brain function.
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Affiliation(s)
- Henri Begleiter
- Neurodynamics Laboratory, Department of Psychiatry, SUNY Downstate Medical Center, Brooklyn, NY 11203, USA.
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21
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Dick DM, Agrawal A, Schuckit MA, Bierut L, Hinrichs A, Fox L, Mullaney J, Cloninger CR, Hesselbrock V, Nurnberger JI, Almasy L, Foroud T, Porjesz B, Edenberg H, Begleiter H. Marital status, alcohol dependence, and GABRA2: evidence for gene-environment correlation and interaction. ACTA ACUST UNITED AC 2006; 67:185-94. [PMID: 16562401 DOI: 10.15288/jsa.2006.67.185] [Citation(s) in RCA: 93] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
OBJECTIVE The gene GABRA2 has been associated with the risk for alcohol dependence in independent samples. This article explores how this genetic risk factor interacts with marital status, another factor previously shown to be associated with the risk for alcohol dependence. METHOD Data from more than 1,900 male and female subjects from the Collaborative Study of the Genetics of Alcoholism (COGA) sample were analyzed. Subjects were recruited based on membership in a family with multiple individuals with alcoholism. A series of analyses was performed to evaluate the relationship between the following: (1) GABRA2 and alcohol dependence, (2) marital status and alcohol dependence, (3) GABRA2 and marital status, and (4) interactions between GABRA2 and marital status on the development of alcohol dependence in the high-risk COGA sample. Additional analyses were carried out in a sample of approximately 900 individuals from control families to test the generalizability of results. RESULTS Both GABRA2 and marital status contributed independently to the development of alcohol dependence in the COGA sample. The high-risk genotype at GABRA2 was also related to a decreased likelihood of marrying and an increased likelihood of divorce, which appeared to be mediated in part by personality characteristics. There was also differential risk associated with the GABRA2 genotype according to marital status. CONCLUSIONS These analyses provide evidence of both gene-environment correlation and gene-environment interaction associated with GABRA2, marital status, and alcohol dependence. They illustrate the complex pathways by which genotype and environmental risk factors act and interact to influence alcohol dependence and challenge traditional conceptualizations of "environmental" risk factors.
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Affiliation(s)
- Danielle M Dick
- Department of Psychiatry, Washington University in St. Louis, Box 8134, 660 South Euclid Ave., St. Louis, MO 63130, USA.
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22
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Hinrichs AL, Wang JC, Bufe B, Kwon JM, Budde J, Allen R, Bertelsen S, Evans W, Dick D, Rice J, Foroud T, Nurnberger J, Tischfield JA, Kuperman S, Crowe R, Hesselbrock V, Schuckit M, Almasy L, Porjesz B, Edenberg HJ, Begleiter H, Meyerhof W, Bierut LJ, Goate AM. Functional variant in a bitter-taste receptor (hTAS2R16) influences risk of alcohol dependence. Am J Hum Genet 2006; 78:103-11. [PMID: 16385453 PMCID: PMC1380207 DOI: 10.1086/499253] [Citation(s) in RCA: 104] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2005] [Accepted: 10/11/2005] [Indexed: 11/03/2022] Open
Abstract
A coding single-nucleotide polymorphism (cSNP), K172N, in hTAS2R16, a gene encoding a taste receptor for bitter beta -glucopyranosides, shows significant association with alcohol dependence (P = .00018). This gene is located on chromosome 7q in a region reported elsewhere to exhibit linkage with alcohol dependence. The SNP is located in the putative ligand-binding domain and is associated with an increased sensitivity to many bitter beta -glucopyranosides in the presence of the N172 allele. Individuals with the ancestral allele K172 are at increased risk of alcohol dependence, regardless of ethnicity. However, this risk allele is uncommon in European Americans (minor-allele frequency [MAF] 0.6%), whereas 45% of African Americans carry the allele (MAF 26%), which makes it a much more significant risk factor in the African American population.
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Affiliation(s)
- Anthony L. Hinrichs
- Washington University School of Medicine, St. Louis; German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany; Laboratory of Neurogenetics, National Institute of Aging, National Institute of Health, Bethesda; Indiana University School of Medicine, Indianapolis; Rutgers University, Piscataway, NJ; University of Iowa School of Medicine, Iowa City; University of Connecticut School of Medicine, Farmington; University of California at San Diego School of Medicine, La Jolla; Southwest Foundation, San Antonio; and State University of New York Health Science Center at Brooklyn, Brooklyn
| | - Jen C. Wang
- Washington University School of Medicine, St. Louis; German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany; Laboratory of Neurogenetics, National Institute of Aging, National Institute of Health, Bethesda; Indiana University School of Medicine, Indianapolis; Rutgers University, Piscataway, NJ; University of Iowa School of Medicine, Iowa City; University of Connecticut School of Medicine, Farmington; University of California at San Diego School of Medicine, La Jolla; Southwest Foundation, San Antonio; and State University of New York Health Science Center at Brooklyn, Brooklyn
| | - Bernd Bufe
- Washington University School of Medicine, St. Louis; German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany; Laboratory of Neurogenetics, National Institute of Aging, National Institute of Health, Bethesda; Indiana University School of Medicine, Indianapolis; Rutgers University, Piscataway, NJ; University of Iowa School of Medicine, Iowa City; University of Connecticut School of Medicine, Farmington; University of California at San Diego School of Medicine, La Jolla; Southwest Foundation, San Antonio; and State University of New York Health Science Center at Brooklyn, Brooklyn
| | - Jennifer M. Kwon
- Washington University School of Medicine, St. Louis; German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany; Laboratory of Neurogenetics, National Institute of Aging, National Institute of Health, Bethesda; Indiana University School of Medicine, Indianapolis; Rutgers University, Piscataway, NJ; University of Iowa School of Medicine, Iowa City; University of Connecticut School of Medicine, Farmington; University of California at San Diego School of Medicine, La Jolla; Southwest Foundation, San Antonio; and State University of New York Health Science Center at Brooklyn, Brooklyn
| | - John Budde
- Washington University School of Medicine, St. Louis; German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany; Laboratory of Neurogenetics, National Institute of Aging, National Institute of Health, Bethesda; Indiana University School of Medicine, Indianapolis; Rutgers University, Piscataway, NJ; University of Iowa School of Medicine, Iowa City; University of Connecticut School of Medicine, Farmington; University of California at San Diego School of Medicine, La Jolla; Southwest Foundation, San Antonio; and State University of New York Health Science Center at Brooklyn, Brooklyn
| | - Rebecca Allen
- Washington University School of Medicine, St. Louis; German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany; Laboratory of Neurogenetics, National Institute of Aging, National Institute of Health, Bethesda; Indiana University School of Medicine, Indianapolis; Rutgers University, Piscataway, NJ; University of Iowa School of Medicine, Iowa City; University of Connecticut School of Medicine, Farmington; University of California at San Diego School of Medicine, La Jolla; Southwest Foundation, San Antonio; and State University of New York Health Science Center at Brooklyn, Brooklyn
| | - Sarah Bertelsen
- Washington University School of Medicine, St. Louis; German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany; Laboratory of Neurogenetics, National Institute of Aging, National Institute of Health, Bethesda; Indiana University School of Medicine, Indianapolis; Rutgers University, Piscataway, NJ; University of Iowa School of Medicine, Iowa City; University of Connecticut School of Medicine, Farmington; University of California at San Diego School of Medicine, La Jolla; Southwest Foundation, San Antonio; and State University of New York Health Science Center at Brooklyn, Brooklyn
| | - Whitney Evans
- Washington University School of Medicine, St. Louis; German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany; Laboratory of Neurogenetics, National Institute of Aging, National Institute of Health, Bethesda; Indiana University School of Medicine, Indianapolis; Rutgers University, Piscataway, NJ; University of Iowa School of Medicine, Iowa City; University of Connecticut School of Medicine, Farmington; University of California at San Diego School of Medicine, La Jolla; Southwest Foundation, San Antonio; and State University of New York Health Science Center at Brooklyn, Brooklyn
| | - Danielle Dick
- Washington University School of Medicine, St. Louis; German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany; Laboratory of Neurogenetics, National Institute of Aging, National Institute of Health, Bethesda; Indiana University School of Medicine, Indianapolis; Rutgers University, Piscataway, NJ; University of Iowa School of Medicine, Iowa City; University of Connecticut School of Medicine, Farmington; University of California at San Diego School of Medicine, La Jolla; Southwest Foundation, San Antonio; and State University of New York Health Science Center at Brooklyn, Brooklyn
| | - John Rice
- Washington University School of Medicine, St. Louis; German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany; Laboratory of Neurogenetics, National Institute of Aging, National Institute of Health, Bethesda; Indiana University School of Medicine, Indianapolis; Rutgers University, Piscataway, NJ; University of Iowa School of Medicine, Iowa City; University of Connecticut School of Medicine, Farmington; University of California at San Diego School of Medicine, La Jolla; Southwest Foundation, San Antonio; and State University of New York Health Science Center at Brooklyn, Brooklyn
| | - Tatiana Foroud
- Washington University School of Medicine, St. Louis; German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany; Laboratory of Neurogenetics, National Institute of Aging, National Institute of Health, Bethesda; Indiana University School of Medicine, Indianapolis; Rutgers University, Piscataway, NJ; University of Iowa School of Medicine, Iowa City; University of Connecticut School of Medicine, Farmington; University of California at San Diego School of Medicine, La Jolla; Southwest Foundation, San Antonio; and State University of New York Health Science Center at Brooklyn, Brooklyn
| | - John Nurnberger
- Washington University School of Medicine, St. Louis; German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany; Laboratory of Neurogenetics, National Institute of Aging, National Institute of Health, Bethesda; Indiana University School of Medicine, Indianapolis; Rutgers University, Piscataway, NJ; University of Iowa School of Medicine, Iowa City; University of Connecticut School of Medicine, Farmington; University of California at San Diego School of Medicine, La Jolla; Southwest Foundation, San Antonio; and State University of New York Health Science Center at Brooklyn, Brooklyn
| | - Jay A. Tischfield
- Washington University School of Medicine, St. Louis; German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany; Laboratory of Neurogenetics, National Institute of Aging, National Institute of Health, Bethesda; Indiana University School of Medicine, Indianapolis; Rutgers University, Piscataway, NJ; University of Iowa School of Medicine, Iowa City; University of Connecticut School of Medicine, Farmington; University of California at San Diego School of Medicine, La Jolla; Southwest Foundation, San Antonio; and State University of New York Health Science Center at Brooklyn, Brooklyn
| | - Samuel Kuperman
- Washington University School of Medicine, St. Louis; German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany; Laboratory of Neurogenetics, National Institute of Aging, National Institute of Health, Bethesda; Indiana University School of Medicine, Indianapolis; Rutgers University, Piscataway, NJ; University of Iowa School of Medicine, Iowa City; University of Connecticut School of Medicine, Farmington; University of California at San Diego School of Medicine, La Jolla; Southwest Foundation, San Antonio; and State University of New York Health Science Center at Brooklyn, Brooklyn
| | - Raymond Crowe
- Washington University School of Medicine, St. Louis; German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany; Laboratory of Neurogenetics, National Institute of Aging, National Institute of Health, Bethesda; Indiana University School of Medicine, Indianapolis; Rutgers University, Piscataway, NJ; University of Iowa School of Medicine, Iowa City; University of Connecticut School of Medicine, Farmington; University of California at San Diego School of Medicine, La Jolla; Southwest Foundation, San Antonio; and State University of New York Health Science Center at Brooklyn, Brooklyn
| | - Victor Hesselbrock
- Washington University School of Medicine, St. Louis; German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany; Laboratory of Neurogenetics, National Institute of Aging, National Institute of Health, Bethesda; Indiana University School of Medicine, Indianapolis; Rutgers University, Piscataway, NJ; University of Iowa School of Medicine, Iowa City; University of Connecticut School of Medicine, Farmington; University of California at San Diego School of Medicine, La Jolla; Southwest Foundation, San Antonio; and State University of New York Health Science Center at Brooklyn, Brooklyn
| | - Marc Schuckit
- Washington University School of Medicine, St. Louis; German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany; Laboratory of Neurogenetics, National Institute of Aging, National Institute of Health, Bethesda; Indiana University School of Medicine, Indianapolis; Rutgers University, Piscataway, NJ; University of Iowa School of Medicine, Iowa City; University of Connecticut School of Medicine, Farmington; University of California at San Diego School of Medicine, La Jolla; Southwest Foundation, San Antonio; and State University of New York Health Science Center at Brooklyn, Brooklyn
| | - Laura Almasy
- Washington University School of Medicine, St. Louis; German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany; Laboratory of Neurogenetics, National Institute of Aging, National Institute of Health, Bethesda; Indiana University School of Medicine, Indianapolis; Rutgers University, Piscataway, NJ; University of Iowa School of Medicine, Iowa City; University of Connecticut School of Medicine, Farmington; University of California at San Diego School of Medicine, La Jolla; Southwest Foundation, San Antonio; and State University of New York Health Science Center at Brooklyn, Brooklyn
| | - Bernice Porjesz
- Washington University School of Medicine, St. Louis; German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany; Laboratory of Neurogenetics, National Institute of Aging, National Institute of Health, Bethesda; Indiana University School of Medicine, Indianapolis; Rutgers University, Piscataway, NJ; University of Iowa School of Medicine, Iowa City; University of Connecticut School of Medicine, Farmington; University of California at San Diego School of Medicine, La Jolla; Southwest Foundation, San Antonio; and State University of New York Health Science Center at Brooklyn, Brooklyn
| | - Howard J. Edenberg
- Washington University School of Medicine, St. Louis; German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany; Laboratory of Neurogenetics, National Institute of Aging, National Institute of Health, Bethesda; Indiana University School of Medicine, Indianapolis; Rutgers University, Piscataway, NJ; University of Iowa School of Medicine, Iowa City; University of Connecticut School of Medicine, Farmington; University of California at San Diego School of Medicine, La Jolla; Southwest Foundation, San Antonio; and State University of New York Health Science Center at Brooklyn, Brooklyn
| | - Henri Begleiter
- Washington University School of Medicine, St. Louis; German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany; Laboratory of Neurogenetics, National Institute of Aging, National Institute of Health, Bethesda; Indiana University School of Medicine, Indianapolis; Rutgers University, Piscataway, NJ; University of Iowa School of Medicine, Iowa City; University of Connecticut School of Medicine, Farmington; University of California at San Diego School of Medicine, La Jolla; Southwest Foundation, San Antonio; and State University of New York Health Science Center at Brooklyn, Brooklyn
| | - Wolfgang Meyerhof
- Washington University School of Medicine, St. Louis; German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany; Laboratory of Neurogenetics, National Institute of Aging, National Institute of Health, Bethesda; Indiana University School of Medicine, Indianapolis; Rutgers University, Piscataway, NJ; University of Iowa School of Medicine, Iowa City; University of Connecticut School of Medicine, Farmington; University of California at San Diego School of Medicine, La Jolla; Southwest Foundation, San Antonio; and State University of New York Health Science Center at Brooklyn, Brooklyn
| | - Laura J. Bierut
- Washington University School of Medicine, St. Louis; German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany; Laboratory of Neurogenetics, National Institute of Aging, National Institute of Health, Bethesda; Indiana University School of Medicine, Indianapolis; Rutgers University, Piscataway, NJ; University of Iowa School of Medicine, Iowa City; University of Connecticut School of Medicine, Farmington; University of California at San Diego School of Medicine, La Jolla; Southwest Foundation, San Antonio; and State University of New York Health Science Center at Brooklyn, Brooklyn
| | - Alison M. Goate
- Washington University School of Medicine, St. Louis; German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany; Laboratory of Neurogenetics, National Institute of Aging, National Institute of Health, Bethesda; Indiana University School of Medicine, Indianapolis; Rutgers University, Piscataway, NJ; University of Iowa School of Medicine, Iowa City; University of Connecticut School of Medicine, Farmington; University of California at San Diego School of Medicine, La Jolla; Southwest Foundation, San Antonio; and State University of New York Health Science Center at Brooklyn, Brooklyn
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Edenberg HJ, Bierut LJ, Boyce P, Cao M, Cawley S, Chiles R, Doheny KF, Hansen M, Hinrichs T, Jones K, Kelleher M, Kennedy GC, Liu G, Marcus G, McBride C, Murray SS, Oliphant A, Pettengill J, Porjesz B, Pugh EW, Rice JP, Rubano T, Shannon S, Steeke R, Tischfield JA, Tsai YY, Zhang C, Begleiter H. Description of the data from the Collaborative Study on the Genetics of Alcoholism (COGA) and single-nucleotide polymorphism genotyping for Genetic Analysis Workshop 14. BMC Genet 2005; 6 Suppl 1:S2. [PMID: 16451628 PMCID: PMC1866767 DOI: 10.1186/1471-2156-6-s1-s2] [Citation(s) in RCA: 64] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
The data provided to the Genetic Analysis Workshop 14 (GAW 14) was the result of a collaboration among several different groups, catalyzed by Elizabeth Pugh from The Center for Inherited Disease Research (CIDR) and the organizers of GAW 14, Jean MacCluer and Laura Almasy. The DNA, phenotypic characterization, and microsatellite genomic survey were provided by the Collaborative Study on the Genetics of Alcoholism (COGA), a nine-site national collaboration funded by the National Institute of Alcohol and Alcoholism (NIAAA) and the National Institute of Drug Abuse (NIDA) with the overarching goal of identifying and characterizing genes that affect the susceptibility to develop alcohol dependence and related phenotypes. CIDR, Affymetrix, and Illumina provided single-nucleotide polymorphism genotyping of a large subset of the COGA subjects. This article briefly describes the dataset that was provided.
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Affiliation(s)
- Howard J Edenberg
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, 635 Barnhill Drive, Indianapolis, IN, USA
| | - Laura J Bierut
- Department of Psychiatry, Washington University, 660 South Euclid, St. Louis, MO 63110-1093, USA
| | - Paul Boyce
- Center for Inherited Disease Research, Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Manqiu Cao
- Affymetrix, Inc., 3380 Central Expressway, Santa Clara CA 95051, USA
| | - Simon Cawley
- Affymetrix, Inc., 3380 Central Expressway, Santa Clara CA 95051, USA
| | - Richard Chiles
- Affymetrix, Inc., 3380 Central Expressway, Santa Clara CA 95051, USA
| | - Kimberly F Doheny
- Center for Inherited Disease Research, Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Mark Hansen
- Illumina, Inc., 9885 Towne Centre Drive, San Diego, CA 92121-1975, USA
| | - Tony Hinrichs
- Department of Psychiatry, Washington University, 660 South Euclid, St. Louis, MO 63110-1093, USA
| | - Kevin Jones
- Department of Psychiatry, State University of New York, Downstate Medical Center, 450 Clarkson Avenue Box 1203, Brooklyn, NY 11203-2098, USA
| | - Mark Kelleher
- Affymetrix, Inc., 3380 Central Expressway, Santa Clara CA 95051, USA
| | - Giulia C Kennedy
- Affymetrix, Inc., 3380 Central Expressway, Santa Clara CA 95051, USA
| | - Guoying Liu
- Affymetrix, Inc., 3380 Central Expressway, Santa Clara CA 95051, USA
| | - Gregory Marcus
- Affymetrix, Inc., 3380 Central Expressway, Santa Clara CA 95051, USA
| | - Celeste McBride
- Illumina, Inc., 9885 Towne Centre Drive, San Diego, CA 92121-1975, USA
| | - Sarah Shaw Murray
- Illumina, Inc., 9885 Towne Centre Drive, San Diego, CA 92121-1975, USA
| | - Arnold Oliphant
- Illumina, Inc., 9885 Towne Centre Drive, San Diego, CA 92121-1975, USA
| | - James Pettengill
- Center for Inherited Disease Research, Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Bernice Porjesz
- Department of Psychiatry, State University of New York, Downstate Medical Center, 450 Clarkson Avenue Box 1203, Brooklyn, NY 11203-2098, USA
| | - Elizabeth W Pugh
- Center for Inherited Disease Research, Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - John P Rice
- Department of Psychiatry, Washington University, 660 South Euclid, St. Louis, MO 63110-1093, USA
| | - Todd Rubano
- Illumina, Inc., 9885 Towne Centre Drive, San Diego, CA 92121-1975, USA
| | - Stu Shannon
- Illumina, Inc., 9885 Towne Centre Drive, San Diego, CA 92121-1975, USA
| | - Rhoberta Steeke
- Illumina, Inc., 9885 Towne Centre Drive, San Diego, CA 92121-1975, USA
| | - Jay A Tischfield
- Department of Genetics, Rutgers University, 604 Allison Road, Piscataway, NJ 08854-8082, USA
| | - Ya Yu Tsai
- Center for Inherited Disease Research, Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Chun Zhang
- Affymetrix, Inc., 3380 Central Expressway, Santa Clara CA 95051, USA
| | - Henri Begleiter
- Department of Psychiatry, State University of New York, Downstate Medical Center, 450 Clarkson Avenue Box 1203, Brooklyn, NY 11203-2098, USA
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Chorlian DB, Porjesz B, Begleiter H. Amplitude modulation of gamma band oscillations at alpha frequency produced by photic driving. Int J Psychophysiol 2005; 61:262-78. [PMID: 16377013 DOI: 10.1016/j.ijpsycho.2005.11.002] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2005] [Revised: 11/01/2005] [Accepted: 11/02/2005] [Indexed: 11/22/2022]
Abstract
Gamma band response to visual stimulation in humans has been observed to have both burst and resonance properties. Amplitude modulation of gamma activity at low frequencies has been seen in rat hippocampus and modeled in a number of forms. Significant amplitude modulation (p=0.05) of 33 Hz gamma frequency activity at the frequency of an 8 1/3 Hz photic driving stimulus, which also produced strong alpha entrainment, was observed in 67% of the channels in 42 human subjects. Similar amplitude modulation was found at a range of frequencies from greater than 50 Hz to about 28 Hz. The peak of the gamma amplitude modulation curve trailed the peak of the alpha signal by 25 to 30 ms, corresponding to a phase difference of 150 degrees to 180 degrees. The phase consistency of the gamma signal, measured across comparable times of the alpha signal, was least at the minimum amplitude modulation, and largest at the maximum. Although there was no consistent overall relation between the gamma amplitude and alpha amplitude, peak gamma amplitude values were consistently higher during post-target-stimulus alpha suppression, which occurs about 300-750 ms subsequent to stimulus presentation, than they were at the time of maximum alpha activity during the immediate post-stimulus period. It is hypothesized that there is an interaction between the alpha and gamma generating systems, in which gamma triggers alpha activity and is subsequently inhibited by it, thus producing the observed amplitude modulation. The transition from dark to light of the photic driving stimulus begins a phase resetting process in the gamma system and a concomitant burst of gamma activity; this produces an activation in the alpha system, similar to that found in the P1-N1 response in evoked potential experiments, and a subsequent inhibition of gamma production.
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Affiliation(s)
- David B Chorlian
- Neurodynamics Laboratory, Department of Psychiatry, SUNY/HSCB, 450 Clarkson Ave., Brooklyn, NY, USA
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25
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Dick DM, Jones K, Saccone N, Hinrichs A, Wang JC, Goate A, Bierut L, Almasy L, Schuckit M, Hesselbrock V, Tischfield J, Foroud T, Edenberg H, Porjesz B, Begleiter H. Endophenotypes successfully lead to gene identification: results from the collaborative study on the genetics of alcoholism. Behav Genet 2005; 36:112-26. [PMID: 16341909 DOI: 10.1007/s10519-005-9001-3] [Citation(s) in RCA: 111] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2005] [Accepted: 07/15/2005] [Indexed: 11/29/2022]
Abstract
The use of endophenotypes has been proposed as a strategy to aid gene identification efforts for complex phenotypes [Gottesman, I. I., and Shields J. (1972). Schizophrenia and Genetics: A Twin Study Vantage Point. London: Academic]. As part of the Collaborative Study of the Genetics of Alcoholism (COGA) project, we have analyzed electrophysiological endophenotypes, in addition to clinical diagnoses, as part of our effort to identify genes involved in the predisposition to alcohol dependence. In this paper we summarize published results from linkage and association analyses of two chromosomal regions in which the use of endophenotypes has successfully led to the identification of genes associated with alcohol dependence [GABRA2 (Edenberg et al., (2004). Am. J. Hum. Genet. 74:705-714) and CHRM2 (Wang et al., (2004). Hum. Mol. Genet. 13:1903-1911)]. Our experience in the COGA project has been that the analysis of endophenotypes provides several advantages over diagnostic phenotypes, including the strength and localization of the linkage signal. Our results provide an illustration of the successful use of endophenotypes to identify genes involved in the predisposition to a complex psychiatric phenotype, a strategy originally proposed by Gottesman and Shields in 1972.
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Affiliation(s)
- Danielle M Dick
- Washington University School of Medicine, St. Louis, MO, USA.
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26
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Corbett J, Saccone NL, Foroud T, Goate A, Edenberg H, Nurnberger J, Porjesz B, Begleiter H, Reich T, Rice JP. A sex-adjusted and age-adjusted genome screen for nested alcohol dependence diagnoses. Psychiatr Genet 2005; 15:25-30. [PMID: 15722954 DOI: 10.1097/00041444-200503000-00005] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
Alcohol dependence is a complex disorder with a substantial genetic contribution to susceptibility. The Collaborative Study on the Genetics of Alcoholism is a multi-site study whose purpose is to detect, localize, and characterize genes contributing to this susceptibility. Previous linkage analyses of the trait of alcohol dependence in Collaborative Study on the Genetics of Alcoholism have used affected sib-pair methods with a dichotomous phenotype definition. In contrast, the analysis in this paper uses a sex-adjusted and age-adjusted multiple threshold liability model. The use of such a model, in that it includes unaffected as well as as affected subjects and in that it utilizes the differential severity of a diagnosis scale, should heuristically be more powerful than a straight affected sib-pair analysis. Three regions of interest are found on chromosome 1 (lod 5.17), chromosome 4 (lod 3.46), and chromosome 8 (lod 4.31). The region on chromosome 1 near the marker D1S532 is in the region previously reported as linked to alcohol dependence and correlated phenotypes in this dataset. The region on chromosome 4 near the alcohol dehydrogenase gene cluster has been reported to be linked to alcohol dependence in other studies, as well as to the alcohol consumption phenotype 'Maximum Number of Drinks in a 24-Hour Period' in this dataset. The region on chromosome 8 near the marker D8S1988 is homologous to a section of rat chromosome 5 to which an alcohol consumption phenotype has been linked.
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Affiliation(s)
- J Corbett
- Washington University School of Medicine, St Louis, MO 63110, USA
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27
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Kamarajan C, Porjesz B, Jones KA, Chorlian DB, Padmanabhapillai A, Rangaswamy M, Stimus AT, Begleiter H. Spatial-anatomical mapping of NoGo-P3 in the offspring of alcoholics: evidence of cognitive and neural disinhibition as a risk for alcoholism. Clin Neurophysiol 2005; 116:1049-61. [PMID: 15826845 PMCID: PMC3785104 DOI: 10.1016/j.clinph.2004.12.015] [Citation(s) in RCA: 51] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2004] [Revised: 11/22/2004] [Accepted: 12/18/2004] [Indexed: 01/18/2023]
Abstract
OBJECTIVE The concept of disinhibition as a behavioral and biological trait has been considered to be involved in the etiology of alcoholism and its co-existing disorders. The magnitude and functional mapping of event-related potential P3(00) components were analyzed, in order to examine the possible response inhibition deficits in the offspring of alcoholics. METHODS The P3 components were compared between 50 offspring of alcoholics (OA) and a matched normal control group (NC) using a visual Go/NoGo task. The low-resolution electromagnetic tomography (LORETA) was used to analyze the functional brain mapping between groups. RESULTS The results indicated that the OA group manifested decreased P3 amplitude during the NoGo but not the Go condition compared to the NC group. The voxel-by-voxel analysis in LORETA showed group differences at several brain regions including prefrontal areas during the processing of NoGo but not Go signals. CONCLUSIONS The decreased NoGo-P3 suggests that cognitive and neural disinhibition in offspring of alcoholics may serve as a neurocognitive index for a phenotypic marker in the development of alcoholism and related disorders. SIGNIFICANCE Dysfunctional neural and response inhibition in the offspring of alcoholics perhaps provides an endophenotypic marker of risk for the development of alcoholism and related disorders.
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Affiliation(s)
| | - Bernice Porjesz
- Correspondence and reprint requests should be addressed to: Dr. Bernice Porjesz, Department of Psychiatry, Box 1203, Neurodynamics Laboratory, SUNY Downstate Medical Center, 450 Clarkson Avenue, Brooklyn, NY 11203, U.S.A., Phone: +1 718 270 2024, Fax: +1 718 270 4081,
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28
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Porjesz B, Rangaswamy M, Kamarajan C, Jones KA, Padmanabhapillai A, Begleiter H. The utility of neurophysiological markers in the study of alcoholism. Clin Neurophysiol 2005; 116:993-1018. [PMID: 15826840 DOI: 10.1016/j.clinph.2004.12.016] [Citation(s) in RCA: 216] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2004] [Revised: 12/09/2004] [Accepted: 12/17/2004] [Indexed: 02/06/2023]
Abstract
OBJECTIVE This review attempts to differentiate neuroelectric measures (electroencephalogram (EEG), event-related potentials (ERPs) and event-related oscillations (EROs)) related to acute and chronic effects of alcohol on the brain from those that reflect underlying deficits related to the predisposition to develop alcoholism and related disorders. The utility of these neuroelectric measures as endophenotypes for psychiatric genetics is evaluated. METHODS This article reviews the main findings of EEG and ERP abnormalities in alcoholics, offspring of alcoholics at high risk to develop alcoholism and the electrophysiological effects of alcohol on high risk compared to low-risk offspring. It highlights findings using EROs, a fast developing tool in examining brain function and cognition. It also reviews evidence of genetic findings related to these electrophysiological measures and their relationship to clinical diagnosis. RESULTS Many of these abnormal neuroelectric measures are under genetic control, may precede the development of alcoholism, and may be markers of a predisposition toward the development of a spectrum of disinhibitory conditions including alcoholism. Genetic loci underlying some neuroelectic measures that involve neurotransmitter systems of the brain have been identified. CONCLUSIONS Quantitative neuroelectric measures (EEG, ERPs, EROs) provide valuable endophenotypes in the study of genetic risk to develop alcoholism and related disorders. SIGNIFICANCE Genetic studies of neuroelectric endophenotypes offer a powerful strategy for identifying susceptibility genes for developing psychiatric disorders, and provide novel insights into etiological factors.
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Affiliation(s)
- Bernice Porjesz
- Neurodynamics Laboratory, Department of Psychiatry, SUNY, Downstate Medical Center, Brooklyn, NY 11203, USA.
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29
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Jones KA, Porjesz B, Almasy L, Bierut L, Goate A, Wang JC, Dick DM, Hinrichs A, Kwon J, Rice JP, Rohrbaugh J, Stock H, Wu W, Bauer LO, Chorlian DB, Crowe RR, Edenberg HJ, Foroud T, Hesselbrock V, Kuperman S, Nurnberger J, O'Connor SJ, Schuckit MA, Stimus AT, Tischfield JA, Reich T, Begleiter H. Linkage and linkage disequilibrium of evoked EEG oscillations with CHRM2 receptor gene polymorphisms: implications for human brain dynamics and cognition. Int J Psychophysiol 2005; 53:75-90. [PMID: 15210286 DOI: 10.1016/j.ijpsycho.2004.02.004] [Citation(s) in RCA: 113] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2003] [Revised: 02/10/2004] [Accepted: 02/11/2004] [Indexed: 11/29/2022]
Abstract
Event-related oscillations (ERO) offer an alternative theoretical and methodological approach to the analysis of event-related EEG responses. The P300 event-related potential (ERP) is elicited through the superposition of the delta (1-3 Hz) and theta (3-7 Hz) band oscillatory responses. The cholinergic neurotransmitter system has a key function in modulating excitatory post-synaptic potentials caused by glutamate, and therefore influences P300 generation and the underlying oscillatory responses. Here we report significant linkage and linkage disequilibrium between target case frontal theta band, visual evoked brain oscillations and a single nucleotide polymorphism (SNP) from the cholinergic muscarinic receptor gene (CHRM2) on chromosome 7. We also demonstrate significant linkage disequilibrium between CHRM2 SNPs and target case parietal delta band visual evoked oscillations (LD P<0.001). These findings were not observed for the equivalent non-target case data, suggesting a role for the CHRM2 gene in higher cognitive processing in humans.
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Affiliation(s)
- Kevin A Jones
- Department of Psychiatry, Neurodynamics Laboratory, SUNY Health Science Center, 450 Clarkson Avenue, Box 1203, Brooklyn, NY 11203, USA
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30
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Kamarajan C, Porjesz B, Jones KA, Choi K, Chorlian DB, Padmanabhapillai A, Rangaswamy M, Stimus AT, Begleiter H. Alcoholism is a disinhibitory disorder: neurophysiological evidence from a Go/No-Go task. Biol Psychol 2004; 69:353-73. [PMID: 15925035 PMCID: PMC3758477 DOI: 10.1016/j.biopsycho.2004.08.004] [Citation(s) in RCA: 156] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2004] [Accepted: 08/24/2004] [Indexed: 10/26/2022]
Abstract
Response inhibition is considered a core dimension in alcoholism and its co-existing disorders. The major objective of this study is to compare the magnitude and spatial distribution of ERP components during response activation and inhibition in alcoholics (N = 30) and normal controls (N = 30) using a visual Go/No-Go task. The results indicate that alcoholics manifest a decreased P3(00) amplitude during Go as well as No-Go conditions. The difference between Go and No-Go processing was more evident in controls than in alcoholics. The topography of current source density in alcoholics during the P3 response was found to be very different from that of normals, suggesting that alcoholics perhaps activated inappropriate brain circuitry during cognitive processing. The significantly reduced No-Go P3 along with the relatively less anteriorized CSD topography during No-Go condition suggests poor inhibitory control in alcoholics. It is proposed that the No-Go P3, the electrophysiological signature of response inhibition, can be considered as an endophenotypic marker in alcoholism.
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Affiliation(s)
| | - Bernice Porjesz
- Correspondence and reprint requests should be addressed to: Dr. Bernice Porjesz, Department of Psychiatry, Box 1203, Neurodynamics Laboratory, SUNY Downstate Medical Center, 450 Clarkson Avenue, Brooklyn, NY 11203, USA., Phone: +1 718 270 2024, Fax: +1 718 270 4081,
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31
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Bierut LJ, Rice JP, Goate A, Hinrichs AL, Saccone NL, Foroud T, Edenberg HJ, Cloninger CR, Begleiter H, Conneally PM, Crowe RR, Hesselbrock V, Li TK, Nurnberger JI, Porjesz B, Schuckit MA, Reich T. A genomic scan for habitual smoking in families of alcoholics: common and specific genetic factors in substance dependence. Am J Med Genet A 2004; 124A:19-27. [PMID: 14679582 DOI: 10.1002/ajmg.a.20329] [Citation(s) in RCA: 99] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Smoking is a highly heritable, addictive disorder that commonly co-occurs with alcohol dependence. The purpose of this study is to perform a genomic screen for habitual smoking and comorbid habitual smoking and alcohol dependence in families from the Collaborative Study on the Genetics of Alcoholism (COGA). Subjects were assessed using the Semi-Structured Assessment for the Genetics of Alcoholism (SSAGA) to evaluate alcohol dependence and habitual smoking (smoking one pack per day or more for at least 6 months). Sixty seven multi-generational families with 154 independent sibling pairs affected with habitual smoking were genotyped in a screening sample. Analyses on 79 multi-generational families with 173 independent sibling pairs were repeated in a replication sample. Sibpair analyses were performed using ASPEX. Four chromosomal regions in the screening sample had increased allele sharing among sibling pairs for habitual smoking with a LOD score greater than 1 (chromosomes 5, 9, 11, and 21). The highest LOD score was on chromosome 9 (LOD = 2.02; allele sharing 58.9%). Four chromosomal regions also had modest evidence for linkage to the comorbid phenotype habitual smoking and alcohol dependence (chromosomes 1, 2, 11, 15); and the strongest finding was on chromosome 2 (LOD = 3.30; allele sharing 69.1%). Previously identified areas (chromosomes 1 and 7) implicated in the development of alcohol dependence in this same data set did not provide evidence for linkage to habitual smoking in the screening sample. In the replication data set, there continued to be increased allele sharing near peaks identified in the screening sample on chromosomes 2 and 9, but the results were modest. An area on chromosome 7, approximately 60 cM from a location previously identified in linkage analysis with alcohol dependence, had increased allele sharing for the comorbid habitual smoking and alcohol dependence. These data provide evidence of specific genetic regions involved in the development of habitual smoking and not alcohol dependence. Conversely, genetic regions that influence the development of alcohol dependence do not appear to contribute to the development of habitual smoking. Finally, there is also evidence of an area on chromosome 2 that may reflect a common genetic vulnerability locus to both habitual smoking and alcohol dependence.
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Affiliation(s)
- Laura Jean Bierut
- School of Medicine, Washington University School of Medicine, 4940 Children's Place, St. Louis, MO 63110, USA.
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32
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Wang JC, Hinrichs AL, Stock H, Budde J, Allen R, Bertelsen S, Kwon JM, Wu W, Dick DM, Rice J, Jones K, Nurnberger JI, Tischfield J, Porjesz B, Edenberg HJ, Hesselbrock V, Crowe R, Schuckit M, Begleiter H, Reich T, Goate AM, Bierut LJ. Evidence of common and specific genetic effects: association of the muscarinic acetylcholine receptor M2 (CHRM2) gene with alcohol dependence and major depressive syndrome. Hum Mol Genet 2004; 13:1903-11. [PMID: 15229186 DOI: 10.1093/hmg/ddh194] [Citation(s) in RCA: 207] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Several correlated phenotypes, alcohol dependence, major depressive syndrome, and an endophenotype of electrophysiological measurements, event-related oscillations (EROs), have demonstrated linkage on the long arm of chromosome 7. Recently, we reported both linkage and association between polymorphisms in the gene encoding the muscarinic acetylcholine receptor M2 (CHRM2) and EROs. In this study, we evaluated whether genetic variation in the CHRM2 gene is also a risk factor for the correlated clinical characteristics of alcoholism and depression. The CHRM2 gene contains a single coding exon and a large 5' untranslated region encoded by multiple exons that can be alternatively spliced. Families were recruited through an alcohol dependent proband, and multiplex pedigrees were selected for genetic analyses. We examined 11 single nucleotide polymorphisms (SNPs) spanning the CHRM2 gene in these families. Using the UNPHASED pedigree disequilibrium test (PDTPHASE), three SNPs (one in intron 4 and two in intron 5) showed highly significant association with alcoholism (P=0.004-0.007). Two SNPs (both in intron 4) were significantly associated with major depressive syndrome (P=0.004 and 0.017). Haplotype analyses revealed that the most common haplotype (>40% frequency), T-T-T (rs1824024-rs2061174-rs324650), was under-transmitted to affected individuals with alcohol dependence and major depressive syndrome. Different complementary haplotypes were over-transmitted in alcohol dependent and depressed individuals. These findings provide strong evidence that variants within or close to the CHRM2 locus influence risk for two common psychiatric disorders.
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Affiliation(s)
- Jen C Wang
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO 63110, USA
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33
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Edenberg HJ, Dick DM, Xuei X, Tian H, Almasy L, Bauer LO, Crowe RR, Goate A, Hesselbrock V, Jones K, Kwon J, Li TK, Nurnberger JI, O'Connor SJ, Reich T, Rice J, Schuckit MA, Porjesz B, Foroud T, Begleiter H. Variations in GABRA2, encoding the alpha 2 subunit of the GABA(A) receptor, are associated with alcohol dependence and with brain oscillations. Am J Hum Genet 2004; 74:705-14. [PMID: 15024690 PMCID: PMC1181946 DOI: 10.1086/383283] [Citation(s) in RCA: 471] [Impact Index Per Article: 23.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2003] [Accepted: 02/02/2004] [Indexed: 12/13/2022] Open
Abstract
Alcoholism is a complex disease with both genetic and environmental risk factors. To identify genes that affect the risk for alcoholism, we systematically ascertained and carefully assessed individuals in families with multiple alcoholics. Linkage and association analyses suggested that a region of chromosome 4p contained genes affecting a quantitative endophenotype, brain oscillations in the beta frequency range (13-28 Hz), and the risk for alcoholism. To identify the individual genes that affect these phenotypes, we performed linkage disequilibrium analyses of 69 single-nucleotide polymorphism (SNPs) within a cluster of four GABA(A) receptor genes, GABRG1, GABRA2, GABRA4, and GABRB1, at the center of the linked region. GABA(A) receptors mediate important effects of alcohol and also modulate beta frequencies. Thirty-one SNPs in GABRA2, but only 1 of the 20 SNPs in the flanking genes, showed significant association with alcoholism. Twenty-five of the GABRA2 SNPs, but only one of the SNPs in the flanking genes, were associated with the brain oscillations in the beta frequency. The region of strongest association with alcohol dependence extended from intron 3 past the 3' end of GABRA2; all 43 of the consecutive three-SNP haplotypes in this region of GABRA2 were highly significant. A three-SNP haplotype was associated with alcoholism, with P=.000000022. No coding differences were found between the high-risk and low-risk haplotypes, suggesting that the effect is mediated through gene regulation. The very strong association of GABRA2 with both alcohol dependence and the beta frequency of the electroencephalogram, combined with biological evidence for a role of this gene in both phenotypes, suggest that GABRA2 might influence susceptibility to alcohol dependence by modulating the level of neural excitation.
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34
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Rangaswamy M, Porjesz B, Ardekani BA, Choi SJ, Tanabe JL, Lim KO, Begleiter H. A functional MRI study of visual oddball: evidence for frontoparietal dysfunction in subjects at risk for alcoholism. Neuroimage 2004; 21:329-39. [PMID: 14741671 DOI: 10.1016/j.neuroimage.2003.09.018] [Citation(s) in RCA: 49] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
Attending to rare stimuli interspersed among repetitive frequent stimuli produces a positive scalp potential at 300 to 600 ms after the target stimulus onset; this potential is known as the P300 wave. Although there is clear evidence of low visual P300 in subjects at high risk (HR) for developing alcoholism, the functional neuroanatomical correlates have not been studied. Functional and high-resolution anatomical magnetic resonance images were collected during the performance of a visual oddball task, from six control (low risk-LR) subjects with high P300s and eight HR subjects with low P300s. All the HR subjects were offspring of male alcoholics. The data were analyzed using a randomization-based statistical method that accounts for multiple comparisons, requires no assumptions about the noise structure of the data, and does not require spatial or temporal smoothing. Target counts showed that all subjects performed the task comparably. Analysis of the functional magnetic resonance imaging (fMRI) data revealed two areas with significantly lower activation in the HR group when compared to the LR group: the bilateral inferior parietal lobule (BA 40), and the bilateral inferior frontal gyrus (BA 44). Inferior parietal lobule showed significantly lower activation in the HR group in contrast to the LR group, and inferior frontal gyrus was not activated in the HR group but was only activated in the LR group. This finding indicates that a dysfunctional frontoparietal circuit may underlie the low P300 responses seen in HR subjects. This perhaps implies a deficiency in the rehearsal component of the working memory system.
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Affiliation(s)
- Madhavi Rangaswamy
- Department of Psychiatry, SUNY Health Sciences Center at Brooklyn, State University of New York, Brooklyn, NY 11203, USA
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35
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Rangaswamy M, Porjesz B, Chorlian DB, Wang K, Jones KA, Kuperman S, Rohrbaugh J, O'Connor SJ, Bauer LO, Reich T, Begleiter H. Resting EEG in offspring of male alcoholics: beta frequencies. Int J Psychophysiol 2004; 51:239-51. [PMID: 14962576 DOI: 10.1016/j.ijpsycho.2003.09.003] [Citation(s) in RCA: 123] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2003] [Revised: 09/16/2003] [Accepted: 09/25/2003] [Indexed: 11/18/2022]
Abstract
This study examines the differences in beta (12-28 Hz) band power in offspring of male alcoholics from densely affected alcoholic families. We have attempted to investigate if the increase in beta power is a 'state' or 'trait' marker for alcoholism. This study also explores the gender differences in the expression of this potential risk marker. Absolute beta power in three bands-beta 1(12-16 Hz), beta 2 (16-20 Hz), and beta 3 (20-28 Hz)-in the eyes closed EEG of 171 high risk (HR) subjects who were offspring of male alcoholics and 204 low risk (LR) subjects with no family history of alcoholism, were compared for each gender separately using a repeated measures analysis of variance design. Alcoholic and non-alcoholic subjects within the high risk group were compared using a repeated measures design as a follow-up analysis. The present study demonstrated increased beta power in the resting EEG of offspring of male alcoholics. Male HR subjects had higher beta 1 (12-16 Hz) power and female HR subjects had increased power in beta 2 (16-20 Hz) and beta 3 (20-28 Hz) as compared with low risk participants. Female HR subjects also showed significantly increased beta 2 and beta 3 power if they had two or more alcoholic first-degree relatives when compared with HR females having only an affected father. Risk characteristics are expressed differentially in males and females and may be an index of differential vulnerability to alcoholism. The results indicate that increased EEG beta power can be considered as a likely marker of risk for developing alcoholism and may be used as a predictive endophenotype.
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Affiliation(s)
- Madhavi Rangaswamy
- Department of Psychiatry, State University of New York, Health Science Center at Brooklyn (SUNY/HSCB), Box 1203, 450 Clarkson Avenue, Brooklyn, NY 11203, USA
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Kamarajan C, Porjesz B, Jones KA, Choi K, Chorlian DB, Padmanabhapillai A, Rangaswamy M, Stimus AT, Begleiter H. The role of brain oscillations as functional correlates of cognitive systems: a study of frontal inhibitory control in alcoholism. Int J Psychophysiol 2004; 51:155-80. [PMID: 14693365 PMCID: PMC3766846 DOI: 10.1016/j.ijpsycho.2003.09.004] [Citation(s) in RCA: 119] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
Event-related oscillations play a key role in understanding the brain dynamics and human information processing. In the present study, the Go/No-Go paradigm has been used to examine whether alcoholics have poor inhibitory control as compared to control subjects in terms of different oscillatory brain responses. The matching pursuit algorithm was used to decompose the event-related electroencephalogram into oscillations of different frequencies. It was found that alcoholics (n=58) showed significant reduction in delta (1.0-3.0 Hz) and theta (3.5-7.0 Hz) power during No-Go trials as compared to controls (n=29). This reduction was prominent at the frontal region. The decreased delta and theta power associated with No-Go processing perhaps suggests a deficient inhibitory control and information-processing mechanism. A neuro-cognitive model has been provided to explain the findings. It is suggested that the oscillatory correlates during cognitive processing can be an endophenotypic marker in alcoholism.
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Affiliation(s)
- Chella Kamarajan
- Department of Psychiatry, Neurodynamics Laboratory, SUNY Health Science Center, Brooklyn, New York, U.S.A
| | - Bernice Porjesz
- Department of Psychiatry, Neurodynamics Laboratory, SUNY Health Science Center, Brooklyn, New York, U.S.A
| | - Kevin A Jones
- Department of Psychiatry, Neurodynamics Laboratory, SUNY Health Science Center, Brooklyn, New York, U.S.A
| | - Keewhan Choi
- Department of Psychiatry, Neurodynamics Laboratory, SUNY Health Science Center, Brooklyn, New York, U.S.A
| | - David B Chorlian
- Department of Psychiatry, Neurodynamics Laboratory, SUNY Health Science Center, Brooklyn, New York, U.S.A
| | - Ajayan Padmanabhapillai
- Department of Psychiatry, Neurodynamics Laboratory, SUNY Health Science Center, Brooklyn, New York, U.S.A
| | - Madhavi Rangaswamy
- Department of Psychiatry, Neurodynamics Laboratory, SUNY Health Science Center, Brooklyn, New York, U.S.A
| | - Arthur T Stimus
- Department of Psychiatry, Neurodynamics Laboratory, SUNY Health Science Center, Brooklyn, New York, U.S.A
| | - Henri Begleiter
- Department of Psychiatry, Neurodynamics Laboratory, SUNY Health Science Center, Brooklyn, New York, U.S.A
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Dick DM, Edenberg HJ, Xuei X, Goate A, Kuperman S, Schuckit M, Crowe R, Smith TL, Porjesz B, Begleiter H, Foroud T. Association of GABRG3 With Alcohol Dependence. Alcohol Clin Exp Res 2004; 28:4-9. [PMID: 14745296 DOI: 10.1097/01.alc.0000108645.54345.98] [Citation(s) in RCA: 112] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
BACKGROUND Evidence from human, animal, and in vitro cell models suggests that gamma-aminobutyric acid (GABA), the major inhibitory neurotransmitter in the human central nervous system, is involved in many of the neurochemical pathways that affect alcohol use, abuse, and dependence. Both linkage and association to the region on chromosome 15q that contains a cluster of GABAA receptor genes have previously been reported, but the role of these genes in alcoholism remains inconclusive. METHODS We conducted family-based association analyses by using a large sample of multiplex alcoholic families collected as part of the Collaborative Study on the Genetics of Alcoholism, to test for an association between alcohol dependence and the GABAA receptor genes clustered on chromosome 15q. Multiple single-nucleotide polymorphisms were tested in each of the three chromosome 15q GABAA receptor genes: GABRA5, GABRB3, and GABRG3. RESULTS Using both classic trio-based analyses and extended-family analyses, we found consistent evidence of association between alcohol dependence and GABRG3. Nearly all single-nucleotide polymorphisms across the gene yielded evidence of association, and haplotype analyses were highly significant. No consistent evidence of association was observed with either GABRA5 or GABRB3, nor was there evidence for parent-of-origin effects with any of the genes. CONCLUSIONS These analyses suggest that GABRG3 may be involved in the risk for alcohol dependence. These findings support the theory that the predisposition to alcoholism may be inherited as a general state of central nervous system disinhibition/hyperexcitability that results from an altered responsiveness to GABA.
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Affiliation(s)
- Danielle M Dick
- Indiana University School of Medicine, Indianapolis, Indiana, USA
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Porjesz B, Jones K, Begleiter H. Chapter 46 The genetics of oscillations in the human brain. Advances in Clinical Neurophysiology, Proceedings of the 27th International Congress of Clinical Neurophysiology, AAEM 50th Anniversary and 57th Annual Meeting of the ACNS Joint Meeting 2004; 57:441-9. [PMID: 16106644 DOI: 10.1016/s1567-424x(09)70382-4] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/02/2022]
Affiliation(s)
- B Porjesz
- Department of Psychiatry, Box 1203, SUNY, Downstate Medical Center, 450 Clarkson Avenue, Brooklyn, NY 11203, USA.
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39
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Abstract
BACKGROUND The P3 (P300) has been considered to be a phenotypical marker of the risk for alcoholism. Although reductions in visual P3 in male and female alcoholics have been replicated, studies of auditory target P3 have been inconsistent. Our objective was to study the magnitude of auditory P3 reduction in female alcoholics and to establish the association between P3 reduction and alcoholism while taking into account comorbid depression and psychoactive drug dependence. The characteristics of P3 reduction were further examined by studying the reduction in family history-positive and -negative individuals. METHODS Auditory target P3s recorded from 61 scalp electrodes in female alcoholics (n = 71) were compared with P3s from female controls (n = 159) ranging in age from 18 to 50 years. The amplitudes and latencies were statistically analyzed, by using repeated-measures ANOVA, in six regional electrode arrays and at representative electrode sites, with age and comorbid depression as covariates. The effects of family density and clinical variables such as depression and drug dependence were also examined with correlation analysis. RESULTS Alcoholic women had significantly lower P3 amplitudes in all six regions and at midline electrode sites. The reductions were not associated with comorbid depression, as shown by low correlations and similar P3 amplitudes at Pz in female alcoholics with and without depression. The P3 amplitudes in women with a high family density were smaller than those in women with a low family density of alcohol dependence. Drug dependency did not influence P3 amplitude, as shown by similar responses in drug-dependent and non-drug-dependent alcoholic women. CONCLUSIONS These findings highlight the significance of P3 reductions associated with alcoholism in women, independently of comorbid depression. Family density effects further support the evidence that these findings are heritable. These results suggest that P3 can be considered as a phenotypical marker of vulnerability to alcoholism in women.
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Affiliation(s)
- Sudha Suresh
- Department of Psychiatry, State University of New York Downstate Medical Center, Brooklyn, New York 11203, USA
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40
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Rangaswamy M, Porjesz B, Chorlian DB, Choi K, Jones KA, Wang K, Rohrbaugh J, O'Connor S, Kuperman S, Reich T, Begleiter H. Theta Power in the EEG of Alcoholics. Alcohol Clin Exp Res 2003. [DOI: 10.1111/j.1530-0277.2003.tb04397.x] [Citation(s) in RCA: 73] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Ghosh S, Begleiter H, Porjesz B, Chorlian DB, Edenberg HJ, Foroud T, Goate A, Reich T. Linkage mapping of beta 2 EEG waves via non-parametric regression. Am J Med Genet B Neuropsychiatr Genet 2003; 118B:66-71. [PMID: 12627469 DOI: 10.1002/ajmg.b.10057] [Citation(s) in RCA: 31] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Parametric linkage methods for analyzing quantitative trait loci are sensitive to violations in trait distributional assumptions. Non-parametric methods are relatively more robust. In this article, we modify the non-parametric regression procedure proposed by Ghosh and Majumder [2000: Am J Hum Genet 66:1046-1061] to map Beta 2 EEG waves using genome-wide data generated in the COGA project. Significant linkage findings are obtained on chromosomes 1, 4, 5, and 15 with findings at multiple regions on chromosomes 4 and 15. We analyze the data both with and without incorporating alcoholism as a covariate. We also test for epistatic interactions between regions of the genome exhibiting significant linkage with the EEG phenotypes and find evidence of epistatic interactions between a region each on chromosome 1 and chromosome 4 with one region on chromosome 15. While regressing out the effect of alcoholism does not affect the linkage findings, the epistatic interactions become statistically insignificant.
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Affiliation(s)
- Saurabh Ghosh
- Department of Psychiatry, Washington University School of Medicine, 660 S. Euclid, Campus Box 8134, St. Louis, MO 63110-1093, USA.
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Rangaswamy M, Porjesz B, Chorlian DB, Choi K, Jones KA, Wang K, Rohrbaugh J, O'Connor S, Kuperman S, Reich T, Begleiter H. Theta power in the EEG of alcoholics. Alcohol Clin Exp Res 2003; 27:607-15. [PMID: 12711923 DOI: 10.1097/01.alc.0000060523.95470.8f] [Citation(s) in RCA: 33] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
BACKGROUND In this study, the magnitude and spatial distribution of theta power in the resting EEG were examined to explore the changes in the neurophysiological status of the alcoholic brain. Some state- and trait-related issues of theta power increases in the EEG of alcoholics were also examined. METHODS Absolute theta (3-7 Hz) power in eyes-closed EEGs of 307 alcohol-dependent subjects and 307 age- and gender-matched unaffected controls were compared by using a repeated-measures ANOVA for the entire region and three subregions (frontal, central, and parietal) separately. Supplementary to the main analysis, the effect of three clinical variables on absolute theta power was examined separately for each gender by using correlation and regression analyses. Gender differences in the theta log power difference between alcoholics and controls were explored by using regional repeated-measures ANOVA. RESULTS Increased absolute theta power was seen in alcohol-dependent subjects at all scalp locations. The theta log power increase in male alcoholics was prominent at the central and parietal regions and in female alcoholics at the parietal region when compared with the respective matched controls. Correlation of drinking variables with log theta power exhibited no group-specific differences. CONCLUSIONS Increased tonic theta power in the EEG may reflect a deficiency in the information-processing capacity of the central nervous system in alcoholics. The theta power increase may also be an electrophysiological index of the imbalance in the excitation-inhibition homeostasis in the cortex. It is likely that the theta power increase is a trait-related phenomenon and is expressed to differing degrees in the two genders.
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Affiliation(s)
- Madhavi Rangaswamy
- Department of Psychiatry, State University of New York, Health Science Center at Brooklyn, USA
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43
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Song J, Koller DL, Foroud T, Carr K, Zhao J, Rice J, Nurnberger JI, Begleiter H, Porjesz B, Smith TL, Schuckit MA, Edenberg HJ. Association of GABA(A) receptors and alcohol dependence and the effects of genetic imprinting. Am J Med Genet B Neuropsychiatr Genet 2003; 117B:39-45. [PMID: 12555233 DOI: 10.1002/ajmg.b.10022] [Citation(s) in RCA: 86] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
GABA receptor genes have been postulated as candidates affecting the risk for alcoholism. The potential association between genes encoding five subunits of the GABA(A) receptors and alcoholism (alcohol dependence) was analyzed in the multiplex alcoholic pedigrees collected by the Collaborative Study on the Genetics of Alcoholism (COGA) using family-based association tests. We found consistent, although weak, linkage disequilibrium between GABRB1 (located on chromosome 4) and alcoholism (P < 0.03). Genes encoding GABRA1 and GABRA6, on chromosome 5, did not provide evidence for association with alcoholism. GABRA5 and GABRB3, on chromosome 15, were reported to be expressed uniparentally from the paternal chromosome. Analyses of paternal transmission of alleles of GABRA5 provided evidence for association with alcoholism, particularly in the Caucasian population and with the stricter ICD-10 definition of alcoholism (P < 0.004). Evidence of association was also observed during paternal transmission with GABRB3 in the Caucasian population (P < 0.007). Maternal transmissions provided no evidence for association. These data are consistent with an association between the expressed alleles in the GABA(A)-gene cluster on chromosome 15 and alcoholism that is modulated by genetic imprinting.
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Affiliation(s)
- Jiuzhou Song
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, 635 Barnhill Drive, Indianapolis, Indiana 46202-5122, USA
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44
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Jones K, Begleiter H, Porjesz B, Wang K, Chorlian D. Complexity measures of event related potential surface Laplacian data calculated using the wavelet packet transform. Brain Topogr 2003; 14:333-44. [PMID: 12137365 DOI: 10.1023/a:1015708928892] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
We describe a method to obtain estimates of EEG signal complexity using the well-established wavelet packet transform with best basis selection. In particular, we use the two-dimensional wavelet packet transform to obtain estimates of the complexity of two-dimensional images. This allows us to calculate complexity estimates of high-resolution brain potential maps generated from 61 scalp electrode Visual Oddball paradigm, grand-mean data. A significant reduction in the complexity of the surface Laplacian time-slices is observed during and after the Visual Potential 300 (P3) event for the target case, possibly as a result of increased spatial synchrony associated with visual-related tasks. We also present the results of a statistical analysis of the largest principal component of the time-varying complexity curves, for control, high-risk, and alcoholic groups of male subjects. Parametric and non-parametric analyses show differences in the complexity data which are significant between the control group and the alcoholic and high-risk groups.
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Affiliation(s)
- Kevin Jones
- Department of Psychiatry, SUNY Health Science Center at Brooklyn, 11203, USA
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45
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Porjesz B, Begleiter H. Alcoholism and human electrophysiology. Alcohol Res Health 2003; 27:153-60. [PMID: 15303626 PMCID: PMC6668890] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Electroencephalography (EEG), the recording of electrical signals from the brain, provides a noninvasive measure of brain function as it is happening. Research using EEG, as well as event-related potentials (ERPs) and event-related oscillations (EROs), which measure brain activity in response to a specific stimulus, have shown that the brain activity of alcoholics and nonalcoholics differs in some characteristic ways. These differences are consistent with an imbalance between excitation and inhibition processes in the brains of alcoholics.
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Affiliation(s)
- Bernice Porjesz
- Department of Psychiatry and Neuroscience, State University of New York, Downstate Medical Center, Brooklyn, New York, USA
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46
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Ardekani BA, Choi SJ, Hossein-Zadeh GA, Porjesz B, Tanabe JL, Lim KO, Bilder R, Helpern JA, Begleiter H. Functional magnetic resonance imaging of brain activity in the visual oddball task. Brain Res Cogn Brain Res 2002; 14:347-56. [PMID: 12421658 DOI: 10.1016/s0926-6410(02)00137-4] [Citation(s) in RCA: 107] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
Abnormalities in the P300 ERP, elicited by the oddball task and measured using EEG, have been found in a number of central nervous system disorders including schizophrenia, Alzheimer's disease, and alcohol dependence. While electrophysiological studies provide high temporal resolution, localizing the P300 deficit has been particularly difficult because the measurements are collected from the scalp. Knowing which brain regions are involved in this process would elucidate the behavioral correlates of P300. The aim of this study was to determine the brain regions involved in a visual oddball task using fMRI. In this study, functional and high-resolution anatomical MR images were collected from seven normal volunteers. The data were analyzed using a randomization-based statistical method that accounts for multiple comparisons, requires no assumptions about the noise structure of the data, and does not require spatial or temporal smoothing. Activations were detected (P<0.01) bilaterally in the supramarginal gyrus (SMG; BA 40), superior parietal lobule (BA 7), the posterior cingulate gyrus, thalamus, inferior occipitotemporal cortex (BA 19/37), insula, dorsolateral prefrontal cortex (BA 9), anterior cingulate cortex (ACC), medial frontal gyrus (BA 6), premotor area, and cuneus (BA 17). Our results are consistent with previous studies that have observed activation in ACC and SMG. Activation of thalamus, insula, and the occipitotemporal cortex has been reported less consistently. The present study lends further support to the involvement of these structures in visual target detection.
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Affiliation(s)
- Babak A Ardekani
- Center for Advanced Brain Imaging, Nathan Kline Institute for Psychiatric Research, 140 Old Orangeburg Road, Orangeburg, NY 10962, USA.
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47
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Rangaswamy M, Porjesz B, Chorlian DB, Wang K, Jones KA, Bauer LO, Rohrbaugh J, O'Connor SJ, Kuperman S, Reich T, Begleiter H. Beta power in the EEG of alcoholics. Biol Psychiatry 2002; 52:831-42. [PMID: 12372655 DOI: 10.1016/s0006-3223(02)01362-8] [Citation(s) in RCA: 238] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND In this study, the magnitude and spatial distribution of beta power in the resting electroencephalogram (EEG) were examined to address the possibility of an excitation-inhibition imbalance in the central nervous system of alcoholics. METHODS Log transformed absolute power in the Beta 1 (12.5-16 Hz), Beta 2 (16.5-20 Hz), and Beta 3 (20.5-28 Hz) bands in the eyes-closed EEG of 307 alcohol-dependent subjects and 307 unaffected age- and gender-matched control subjects were compared using a multivariate repeated measures design. Effect of gender, age, and drinking variables was examined separately. RESULTS Increased Beta 1 (12.5-16 Hz) and Beta 2 (16.5-20 Hz) absolute power was observed in alcohol-dependent subjects at all loci over the scalp. The increase was most prominent in the central region. Increased Beta 3 (20.5-28 Hz) power was frontal in the alcoholics. Age and clinical variables did not influence the increase. Male alcoholics had significantly higher beta power in all three bands. In female alcoholics the increase did not reach statistical significance. CONCLUSIONS Beta power in all three bands of resting EEG is elevated in alcoholics. This feature is more prominent in male alcoholics. The increased beta power in the resting EEG may be an electrophysiological index of the imbalance in the excitation-inhibition homeostasis in the cortex.
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Affiliation(s)
- Madhavi Rangaswamy
- Department of Psychiatry, State University of New York, SUNY Health Sciences Center at Brooklyn, 450 Clarkson Avenue, Brooklyn, NY, USA
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48
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Dick DM, Nurnberger J, Edenberg HJ, Goate A, Crowe R, Rice J, Bucholz KK, Kramer J, Schuckit MA, Smith TL, Porjesz B, Begleiter H, Hesselbrock V, Foroud T. Suggestive Linkage on Chromosome 1 for a Quantitative Alcohol-Related Phenotype. Alcohol Clin Exp Res 2002. [DOI: 10.1111/j.1530-0277.2002.tb02443.x] [Citation(s) in RCA: 69] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Porjesz B, Begleiter H, Wang K, Almasy L, Chorlian DB, Stimus AT, Kuperman S, O'Connor SJ, Rohrbaugh J, Bauer LO, Edenberg HJ, Goate A, Rice JP, Reich T. Linkage and linkage disequilibrium mapping of ERP and EEG phenotypes. Biol Psychol 2002; 61:229-48. [PMID: 12385677 DOI: 10.1016/s0301-0511(02)00060-1] [Citation(s) in RCA: 91] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Linkage analyses of highly heritable electrophysiological phenotypes (EEG, ERP) that can potentially identify individuals at risk for alcoholism were performed on a large sample of families with a high density of alcohol dependence as part of the Collaborative Study on the Genetics of Alcoholism (COGA); these genetic findings are summarized. Quantitative trait loci (QTLs) were identified for several ERP characteristics (P300, N100, N400) and for the beta frequencies of the EEG where we report linkage and linkage disequilibrium at a GABA(A) receptor gene on chromosome 4. Genetic analyses of ERPs suggest that several regions of the human genome contain genetic loci related to the generation of N100, N400 and P300, which are possible candidate loci underlying the functional organization of human neuroelectric activity. The advent of genomics and proteomics and a fuller understanding of gene regulation, will open new horizons on the critical electrical events so essential for human brain function.
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Affiliation(s)
- Bernice Porjesz
- Department of Psychiatry, State University of New York, Health Science Center at Brooklyn, Box 1203, HSCB, 450 Clarkson Avenue, Brooklyn, NY 11203-2098, USA.
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50
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Dick DM, Nurnberger J, Edenberg HJ, Goate A, Crowe R, Rice J, Bucholz KK, Kramer J, Schuckit MA, Smith TL, Porjesz B, Begleiter H, Hesselbrock V, Foroud T. Suggestive linkage on chromosome 1 for a quantitative alcohol-related phenotype. Alcohol Clin Exp Res 2002; 26:1453-60. [PMID: 12394277 DOI: 10.1097/01.alc.0000034037.10333.fd] [Citation(s) in RCA: 35] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
BACKGROUND Alcohol dependence is a clinically and etiologically heterogeneous disorder. Accordingly, a variety of subtypes of alcohol-dependent individuals have been proposed, and multiple operational definitions of alcohol use, abuse, and dependence have been used in linkage analyses directed toward detecting genes involved in alcohol use and problems. Here, we develop quantitative phenotypes that characterize drinking patterns among both alcoholic and nonalcoholic subjects, and use these phenotypes in subsequent linkage analyses. METHODS More than 9000 individuals from alcoholic and control families were administered a semistructured interview and personality questionnaire as part of the initial stage of the Collaborative Study on the Genetics of Alcoholism (COGA). A principal component analysis was conducted on items that captured many of the dimensions of drinking and related behaviors, including aspects of alcohol use, antisocial behavior and affective disturbance when drinking, and personality. Factor scores were computed for all individuals. Nonparametric linkage analyses were conducted on these factor scores, in the initial COGA sample consisting of 987 individuals from 105 extended families, and in a replication sample consisting of 1295 individuals from 157 extended families. RESULTS Three factors were identified, accounting for 68% of the total variance. The most promising regions of linkage appeared for factor 2, on which higher scores indicate a later age of onset of regular drinking and higher harm avoidance. Chromosome 1 yielded consistent evidence of linkage in both samples, with a maximum lod score of 3.3 when the samples were combined for analysis. Consistent suggestion of linkage also was found to chromosome 15. CONCLUSIONS Developing novel phenotypes that more accurately model the effect of influential genes may help efforts to detect genes involved in complex disorders. Applying principal component analysis in the COGA sample provided support for some regions of linkage previously reported in COGA, and identified other new, promising regions of linkage.
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Affiliation(s)
- Danielle M Dick
- Indiana University School of medicine, Indianapolis, Indiana 46202-525, USA
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