Abstract
Background
The VNTR polymorphism in the Dopamine D4 receptor gene (DRD4) has been associated with differential urge for substances across multiple methodologies ranging from neuroimaging to assessment in the natural environment. It is unclear whether the DRD4 gene is a marker for an underlying propensity for greater urge or whether the DRD4 gene differentially moderates the neuroadaptive effects of extended substance use on urge. Examination of the DRD4 in an adolescent sample may provide evidence of a mechanism of this putative relationship.
Method
Data from a subset of 77 participants in a larger assessment study characterized adolescents for substance-related behaviors by DRD4 genotype. The psychiatrically admitted adolescents were genotyped for the variable number of tandem repeats polymorphism in the DRD4 gene (L ≥ 7 [n = 25], S = < 7 [n = 52]). Associations of the DRD4 with scores on the SASSI, and ADI were examined as well as selected individual items thought to be most related to the intermediate phenotype of urge.
Results
The DRD4 gene was not associated with any DSM-IV substance misuse diagnostic classification. Individual items related to urge were also nonsignificantly related to DRD4 status. Carriers of the long variant of the DRD4 polymorphism were more likely to have used hard drugs within the previous 6 months and scored higher on the self-medication subscale of the ADI compared to short variant homozygotes.
Discussion
Preliminary results provide little evidence for the DRD4 VNTR polymorphism to be related to urge-related phenomena in hospitalized adolescents on a psychiatric inpatient unit. The association of the DRD4 gene with hard drug use may support literature linking this gene to impulsivity. Subscale findings may suggest a role of negative affect in previous DRD4 urge findings.
Keywords: DRD4, adolescents, substance misuse
Introduction
Alcohol and drug misuse is estimated to cost $246 billion annually and is responsible for premature mortality, morbidity, crime, traffic accidents, and liver disease (Harwood, Fountain & Fountain 1999). The etiology of substance dependence is not entirely clear, but heritability estimates suggest that genetic factors account for 40–80% of the variance associated with this diagnosis (e.g., Kendler, Gardner, Jacobson, Neale & Prescott, 2005; Enoch & Goldman, 2001), with cannabis potentially less heritable (41%) and tobacco the most heritable (79%) substance. Identification of the genes contributing to substance dependence would allow for treatment efforts to be targeted on a biological basis as well as allow for more thorough gene by environment analyses (Heath et al., 2002). To that end, genes in several biological systems have been investigated in relation to substance dependence (e.g., dopamine, serotonin, GABA, glutamate, etc.), albeit with mixed results.
Although it is possible that various genes may be differentially associated with the likelihood of developing alcohol versus other drug dependence (e.g., polymorphisms in the alcohol metabolizing enzymes may impact likelihood of alcohol dependence but not tobacco dependence), dopaminergic function underlies all drugs of abuse (Kalivas & Volkow, 2005). Accordingly, variation in dopaminergic genes may impact dependence rates across multiple substances.
In addition to examining genes in systems identified as central to dependency for many substances, use of carefully specified phenotypes is critical. For example, the diagnostic criteria for alcohol dependence do not distinguish between persons who begin to drink alcohol problematically for different reasons (e.g., modulation of negative affect for purposes of self-medication, reactivity to cues, or drinking to avoid withdrawal). This heterogeneity may result in poorly specified phenotypic data and may account for inconsistency in results of studies designed to associate specific genes to alcohol dependence. For example, a gene variant that predicts ability to manage negative affect may influence risk for developing alcohol dependence, but this relationship might be obscured in a study of alcohol dependent persons with multiple etiologies. The use of intermediate phenotypes on the pathway between genes and diagnosis is an approach that allows far greater power to identify specific genetic risk and protective factors (Gottesman & Gould, 2003). Useful intermediate phenotypes range from those proximal to gene effects to the more distal measures of behavior associated with alcohol dependence.
Although cellular research on the potential functional consequences of the VNTR polymorphism of the dopamine D4 receptor gene (DRD4) has yielded mixed results (e.g., some evidence for functional differences in 7 repeat receptors compared with 2 or 4-repeat receptors [Asghari et al., 1995] and some evidence suggesting differences between the 2-repeat and the 4 and 7 repeat receptors [Czermak et al., 2006] ), clinical research across multiple intermediate phenotypes and substances suggest a consistent pattern of results. Functional neuroimaging of recently detoxified alcoholics suggests that participants who carry the 7 or more repeats in the DRD4 VNTR (DRD4L) show increased activation to alcohol-related stimuli in the anterior cingulate and associated prefrontal cortical areas compared with participants who carry only shorter variants (DRD4S) (Smolka, McGeary, et al., 2005, manuscript under review). Laboratory studies of reactivity to associated cues have shown greater subjective urges reported by DRD4L participants compared to DRD4S participants in smoking and alcohol studies (Hutchison, Lachance et al., 2002; Hutchison, McGeary et al., 2002; McGeary et al., 2001), a study of heroin addicts (Shao et al., 2006), and even a study related to food craving (Sobik et al., 2005). Pharmacogenetic studies suggest the differential subjective urge for alcohol may be attenuated by a D4 receptor antagonist relative to active placebo (Hutchison et al., 2003). A behavior economics study found that DRD4L participants valued alcohol more highly than DRD4S participants (Mackillop et al., under review). Finally, the examination of urges in the natural environment through the use of palm-top computers suggests that DRD4L carriers report greater urges to drink alcohol than DRD4S participants (McGeary, et al., 2004, Monti et al., 2004).
Although this pattern of results across multiple studies suggest that the DRD4 VNTR polymorphism is consistently related to urge phenomenology across substances of abuse, it is not clear if the long variant is associated with an underlying liability to greater desire or if the DRD4 gene moderates the neuroadaptive changes that occur with extended use. A direct test of these possibilities is difficult as it requires either administering drugs or alcohol to adolescents prior to their becoming regular users (presenting obvious ethical problems) or attempting to assess responses to drug or alcohol use early in the experimentation stage. The cue reactivity studies described above cannot inform this question due to their reliance on associative learning over repeated exposures.
Despite these ethical and practical difficulties, examination of the DRD4 VNTR polymorphism in adolescents may have utility. Although adolescents may have a history of alcohol and other drug use, it is likely that this history will be shorter than the histories of the participants in the studies described above. Positive associations of the DRD4 gene and alcohol and drug use behaviors would suggest that either relatively shorter consumption histories still manifest the expected differences or that indeed the DRD4 VNTR is related to some underlying vulnerability. Moreover, positive results might suggest the possibility of matching pharmacological treatments to genetic background as has been suggested in the adult literature (Oslin et al., 2003). Previous research has demonstrated the potential utility of naltrexone in teens (Deas et al., 2005) but has not examined potential genetic moderators. Accordingly, in this study we examine a subset of adolescents from a larger assessment study that characterizes alcohol and drug use in a sample of youth at high risk for the development of alcohol and drug dependence, seriously mentally ill adolescents hospitalized on a psychiatric inpatient unit.
METHOD
Participants
One hundred and one adolescents hospitalized on an acute adolescent psychiatric inpatient unit and their parents/guardians were asked to participate in this study on a voluntary basis. The large majority of adolescents were hospitalized due to suicidal thoughts or behavior. Adolescents were recruited from the major child psychiatric hospital in the state which accepts Medicaid, uninsured, and privately insured youth. Of those approached for participation, 77 (76%) were successfully recruited. Adolescents ranged in age from 13 to 18 years, with a mean age of 14.9 years (SD = 1.3). Participants were 71% female and were 88% White, 1.3% African American, 1.3 % Asian, 3.9% Native American and 5.2% other ethnicity and approximately 14% of the sample was of Hispanic/Latino ethnicity.
Procedure
Adolescents admitted to an adolescent psychiatric inpatient unit over the course of a two year period as part of a larger NIMH funded (MH065885) assessment study were eligible for participation. Adolescents met inclusion criteria for participation if they: 1) were English speaking; 2) adolescent assent and parental consent were provided; 3) had a Verbal IQ estimate ≥ 70; and 4) the adolescent met criteria for a mood, anxiety, or disruptive behavior disorder. Exclusion criteria included current psychosis or full placement in DCYF custody, as documented in the inpatient admission materials.
Adolescents and their parents/guardians were approached for recruitment by a trained bachelor level research assistant after family meetings or during family visits on the adolescent inpatient unit. If parental consent and adolescent assent were provided, the family was enrolled in this assessment study. Adolescents and their parent/guardian completed the assessments while the adolescent was hospitalized on the inpatient unit. The research assistant administered the assessment battery with the exception of the diagnostic interview which was administered by masters and doctoral level clinicians who completed training in this interview provided by CES. Parent and adolescent assessments were conducted separately. The parent version of the diagnostic interview and assessments was administered in a two hour session. The child version of the diagnostic interview and intelligence test was administered in a separate two hour session.
All adolescents received four movie tickets and their parent/guardian received a $50 money order for their participation. A feedback form summarizing responses to clinical measures (with the exception of substance related information) was placed in each adolescent’s inpatient file upon completion of the full assessment battery so that it could be reviewed by the adolescent’s inpatient treatment team to aid in treatment and discharge planning. Substance related information was not shared because teens self-reported substance use has been shown to be accurate and reliable under conditions of confidentiality (Needle et al., 1983). This study was approved by the affiliated University and Hospital Institutional Review Boards.
Measures
Schedule for Affective Disorders and Schizophrenia for School- Age Children - Present and Lifetime Version (K-SADS- PL; Kaufman et al., 1997) is a widely used semi-structured diagnostic interview that provides a reliable and valid measurement of DSM-IV psychopathology in children and adolescents. Interrater agreement for scoring screens and diagnoses is high (range: 93% to 100%). Test-retest reliability and kappa coefficients are in the excellent range for diagnoses of major depressive, bipolar, generalized anxiety, conduct, and oppositional defiant disorders (.77 to 1.00) and in the good range for other diagnoses (.63 to .67) (Kaufman et al., 1997). Only the current mood, anxiety, disruptive behavior, alcohol/substance use, and eating disorder sections were administered to both the adolescent and parent.
A best-estimate clinical consensus procedure, which has been shown to yield good to excellent reliability (Klein et al., 1994; 2001), was used to resolve discrepancies across parent and adolescent report. The clinical consensus team included the second author and the masters and doctoral level clinical interviewers. In decision making, more weight was given to youth report of internalizing and alcohol/substance symptoms, and to parent report of externalizing symptoms, to maximize detection of psychopathology (Cantwell et al, 1997).
Kaufman Brief Intelligence Test (K-BIT; Kaufman & Kaufman, 1990) provides a brief estimate of intelligence for individuals 4–90 years of age. It contains 2 subtests, Vocabulary and Matrices, which provide estimated Verbal IQ and Performance IQ, respectively. Split half reliability and test-retest reliability estimates for the subtests are acceptable and the IQ scores have demonstrated adequate convergent validity with other measures of verbal intelligence and achievement (Spreen & Strauss, 1998). Only the Vocabulary subtests were administered in the present study as a screening tool.
Adolescent Drinking Index (ADI)
The ADI (Harrell & Wirtz, 1989) is a 24 item self-report questionnaire that provides an index of severity of problem drinking among adolescents referred for emotional or behavioral disorders. Adolescents are asked to indicate the degree to which statements related to drinking apply to them using a 3-point Likert scale. The latter 14 questions ask the adolescent to indicate the frequency with which they have experienced various problem drinking behaviors using a 4-point Likert scale. Higher scores reflect increasing levels of alcohol-related problem behaviors. The ADI contains a total severity index, as well as two subscales based on patterns associated with problem drinking. A self-medication drinking subscale assesses the degree to which drinking is used to alter mood. A rebelliousness subscale is an indicator of the degree to which aggressive, rebellious behavior is related to drinking. Adequate internal consistency and validity have been demonstrated. A cutoff score of 16 or greater suggests a clinical need for alcohol treatment services (Harrell & Wirtz, 1986). In the present study, the ADI total score, the self-medication subscale and a one item reflective of subjective urge for alcohol (item # 1 “I often think about drinking”) were examined.
Personal Experiences Screening Questionnaire (PESQ; Winters, 1992) is a 40-item instrument designed to assess adolescent drug use problem severity, drug use history, and related psychosocial problems. Norms have been established for normative samples, juvenile offenders, and drug abusing populations. Excellent psychometric properties and diagnostic sensitivity have been reported (Winters, 1992). Only Part III of this questionnaire, which assesses frequency of substance use, was administered. Participants were asked to indicate frequency of alcohol, marijuana, and other drugs use over the course of the prior 6 months, using a 7-point likert scale ranging from “never” to “40+ times”.
Substance Abuse Subtle Screening Inventory Adolescent Version 2 (SASSI A-2; Miller & Lazowski, 2001) contains 72 true-false items and 28 multiple choice questions that assess frequency of substance misuse, problems associated with substance misuse, attitudes toward substance misuse, and related contextual factors. This instrument contains 9 subscales: face valid alcohol scale, face valid other drug scale, family-friends risk scale, attitudes scale, symptoms scale, obvious attributes scale, supplemental addiction measure, subtle attributes scale, and defensiveness scale. This instrument was developed and cross validated with 1,244 adolescents and has excellent psychometric properties (Miller & Lazowski, 2001). In the present study, the total score from the face valid alcohol scale, total score from the face valid other drug scale, and one individual item from the face valid alcohol scale reflective of a subjective urge for alcohol (item #4 “had more to drink that you intended to”) were examined.
Candidate genotyping
After obtaining secondary consent for DNA collection for genetic testing, DNA collection was performed at the final visit in the parent study. Genomic DNA was collected and isolated from buccal swabs using published procedures (Freeman et al., 1997; Lench, Stanier & Williamson, 1988). The 48 basepair VNTR in exon 3 of the DRD4 gene was assayed using modifications of previously reported methods (Sander et al, 1997). Participants were grouped by number of repeats in the VNTR by conventional methods with DRD4 long (DRD4L) comprised of those with at least one copy of the 7 or greater repeats, and those in the DRD4 short group (DRD4S) being those who had neither copy being greater than 6 repeats (Hutchison et al., 2002, 2003). All genotyping was performed by technicians blinded to participant characteristics. Quality control procedures for genotyping included separate genotype calls by two independent lab technicians, and rerunning ten percent (randomly determined) of samples to check for reliability. Successful calls were made for all samples and there was full agreement in genotyping calls made by both raters.
Data Analysis Methods
All analyses used the SPSS statistical package. Variables were first checked for distributional assumptions. As the PESQ frequency items and the individual items of interest selected from the SASSI and ADI were highly skewed, we dichotomized these variables into “never used” versus “any use.” Chi square analyses were utilized to test for associations of the DRD4 gene (DRD4L vs. DRD4S) for each variable of interest. The ADI total score, ADI self-medication subscale, SASSI face valid alcohol scale, and SASSI face valid other drug scale were analyzed as continuous variables. T-tests were used to examine associations between the DRD4 gene and these continuous variables.
Results
Participant Characteristics
The 77 participants were characterized for alcohol and drug use using the frequency items from the PESQ. Fifty-two percent of participants reported alcohol use in the last six months, with 39% of the total sample reporting that they had consumed five or more drinks when drinking. Forty-eight percent reported marijuana use, and 23% reported use of hard drugs. Thirty-one percent reported that they had used alcohol and drugs at the same time in the last six months. On the ADI, twenty-six percent of participants met the criteria for clinically significant alcohol problems (ADI score ≥ 16). Single items from the ADI and SASSI that were identified a priori as potentially more direct measures of urge-related phenomenon revealed that 39% of the sample endorsed the item “I often think about drinking” (ADI, item #1)and 30% answered that they had “had more to drink than they intended to” (SASSI, FVA scale, item #4).
Chi-square analyses used to test for associations between DRD4 status and the aforementioned dichotomous variables yielded a significant relationship between DRD4 status and hard drug use in the past 6 months (χ2 (1, N = 77) = 8.79, p < .01, η2 = .09). Only 14% of DRD4S participants had used hard drugs within the last 6 months whereas 61% of DRD4L carriers had. To partially address concerns of population stratification, a re-analysis of only participants who self-identified themselves as “White” was conducted with similar results (χ2 (1, N = 68) = 6.33, p < .05, η2 = .09). No other relationships between DRD4 status and alcohol/substance use variables were significant.
The mean ADI score for the sample was 9.2 (SD=12.5), the mean SASSI face valid alcohol total score was 3.3 (SD = 5.6), and the mean SASSI face valid other drugs total score was 7.6 (SD = 10.9). A t-test revealed a significant effect of DRD4 status on the self medication subscale of the ADI among youth with clinically significant alcohol problems, t(20) = 3.70, p < .001, r = .67 with DRD4L carriers reporting a mean of 6.3 (SD= 1.9) compared with DRD4S homozygotes level of 2.7 (SD=2.1). A re-analysis of “White” participants (see above) yielded similar results t(15) = 2.98, p < .01, r = .63. No other differences were found across these variables (See Table 1).
Table 1.
Measure | DRD4S M (SD) | n | DRD4L M (SD) | n | t |
---|---|---|---|---|---|
ADI Total score | 8.6 (10.8) | 52 | 10.4 (15.6) | 25 | .599 |
ADI self-medication subscalea | 2.7 (2.1) | 14 | 6.3 (1.9) | 6 | 3.70** |
SASSI face valid alcohol total | 3.2 (5.2) | 52 | 3.5 (6.6) | 25 | .208 |
SASSI face valid other drugs total | 6.5 (9.1) | 52 | 10.1(13.9) | 25 | 1.36 |
Note. ADI = Adolescent Drinking Index; SASSI = Substance Abuse Subtle Screening Inventory Adolescent Version 2.
Only the 20 participants who reported clinically significant alcohol problems on the ADI were included in this analysis.
p > .01.
Tests for Hardy Weinberg Equilibrium (HWE) were performed using the Exact Test of Hardy-Weinberg Proportion for Multiple Alleles (Guo & Thompson, 1992). Proportions did not vary from HWE (p > .05).
Discussion
The first aim of this study was to investigate whether the DRD4 VNTR polymorphism was associated with substance use behavior in a group of seriously mentally ill adolescents. The second aim was to examine the relationship of this polymorphism with single items and subscales thought to be related to the intermediate phenotype of urge for use of substances. Despite low power to detect effects and a psychiatrically heterogeneous sample, two findings were of significance. The first finding was that DRD4 status was associated with use of hard drugs within the previous 6 months with carriers of 7 or more repeats more likely to have used hard drugs compared to those who were homozygous for fewer than 7 repeats. However, this was not found to be true for alcohol or marijuana use. The second was that DRD4 status was associated with self medication sub-scores on the ADI with DRD4 long carriers endorsing more items that are consistent with the self medication hypothesis of drug use as compared to DRD4S homozygotes.
These results provide limited support for the hypothesis that the associations of the DRD4 gene with urge in studies of heavy substance users may be due to an underlying propensity to experience greater urges. This study utilized a sample of convenience and is by no means an authoritative examination of this possibility but the lack of evidence for binge drinking or increased frequency of substance use raises the possibility that DRD4 findings in more drug-experienced populations may be more related to neuroadaptive changes associated with extended drug exposure or some third variable (e.g., impulsivity). The relationship of DRD4 to recent hard drug use may be due to greater impulsivity (e.g., Frank et al., 2004) as impulsive adolescents may be more likely to seek out and use hard drugs, but the results for the DRD4 and self medication may suggest an alternative explanation (see also Zalsman et al., 2004). Urge to use substances may be elicited not only by exposure to priming doses and associated cues but also with negative affect induction procedures (Sinha & O’Malley, 1999). Indeed, negative affect may be the predominant determinant of urge in users experiencing active withdrawal states (e.g., Zinser et al., 2002). Since no measures of negative affect are included in previously published studies of the DRD4 gene and urge, it is possible that negative affect associated with the urge state is underlying the association. Use of lab-based studies of cue reactivity and mood (e.g., Rubonis et al., 1994) that include candidate genes could be used in an economical fashion to examine this possibility in adolescents (see also Curtin et al., 2005).
This study has several limitations including; low power to detect effects, only indirect assessments of urge for substances (i.e., single items related to thinking about drinking and of drinking more than intended that may be a behavioral manifestation of increased urge), and a reliance on retrospective self report. The standard disclaimers for genetic association studies regarding population stratification and linkage disequilibrium also apply (e.g., Hutchison et al., 2004). Nevertheless, this preliminary study provides additional evidence of a relationship between DRD4 status and negative affect and suggests the need for further characterization of the role of the DRD4 gene in adolescent samples. However, no study with adolescents has assessed cue reactivity while examining candidate genes, thus a gene by environment lab illustration might be indicated as the next step.
Footnotes
Research supported by a grant from the National Institute of Mental Health (NIMH) 5R01MH065885-03 (CES), a Research Career Development Award and Senior Research Career Scientist Award from the Medical Research Service of the Department of Veterans Affairs (JEM & PMM).
Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.
References
- Cantwell DP, Lewinsohn PM, Rohde P, Seeley JR. Correspondence between adolescent report and parent report of psychiatric diagnostic data. Journal of the American Academy of Child and Adolescent Psychiatry. 1997;36:610–619. doi: 10.1097/00004583-199705000-00011. [DOI] [PubMed] [Google Scholar]
- Curtin JJ, Barnett NP, Colby SM, Rohsenow DJ, Monti PM. Cue reactivity in adolescents: Measurement of separate approach and avoidance reactions. J Stud Alcohol. 2005 May;66(3):332–43. doi: 10.15288/jsa.2005.66.332. [DOI] [PubMed] [Google Scholar]
- Czermak C, Lehofer M, Liebmann PM, Traynor J. [35S]GTPgammaS binding at the human dopamine D4 receptor variants hD4.2, hD4.4 and hD4.7 following stimulation by dopamine, epinephrine and norepinephrine. Eur J Pharmacol. 2006 Feb 15;531(1–3):20–4. doi: 10.1016/j.ejphar.2005.11.063. [DOI] [PubMed] [Google Scholar]
- Deas D, May MP, Randall C, Johnson N, Anton R. Naltrexone treatment of adolescent alcoholics: an open-label pilot study. J Child Adolesc Psychopharmacol. 2005 Oct;15(5):723–8. doi: 10.1089/cap.2005.15.723. [DOI] [PubMed] [Google Scholar]
- Enoch MA, Goldman D. The genetics of alcoholism and alcohol abuse. Curr Psychiatry Rep. 2001 Apr;3(2):144–51. doi: 10.1007/s11920-001-0012-3. [DOI] [PubMed] [Google Scholar]
- Frank Y, Pergolizzi RG, Perilla MJ. Dopamine D4 receptor gene and attention deficit hyperactivity disorder. Pediatr Neurol. 2004 Nov;31(5):345–8. doi: 10.1016/j.pediatrneurol.2004.06.010. [DOI] [PubMed] [Google Scholar]
- Freeman B, Powell J, Ball D, Hill L, Craig I, Plomin R. DNA by mail: an inexpensive and noninvasive method for collecting DNA samples from widely dispersed populations. Behav Genet. 1997;27:251–257. doi: 10.1023/a:1025614231190. [DOI] [PubMed] [Google Scholar]
- Gottesman II, Gould TD. The endophenotype concept in psychiatry: etymology and strategic intentions. Am J Psychiatry. 2003 Apr;160(4):636–45. doi: 10.1176/appi.ajp.160.4.636. [DOI] [PubMed] [Google Scholar]
- Guo SW, Thompson EA. Performing the exact test of Hardy-Weinberg proportion for multiple alleles. Biometrics. 1992 Jun;48(2):361–72. [PubMed] [Google Scholar]
- Harrell A, Wirtz PW. Adolescent Drinking Index: Professional Manual. Psychological Assessment Resources; Odessa, FL: 1989. [Google Scholar]
- Harwood HJ, Fountain D, Fountain G. (1992) Economic cost of alcohol and drug abuse in the United States, 1992: a report. Addiction. 1999 May;94(5):631–5. doi: 10.1080/09652149933450. [DOI] [PubMed] [Google Scholar]
- Heath AC, Todorov AA, Nelson EC, Madden PAF, Bucholz KK, Martin NG. Gene-environment interaction effects on behavioral variation and risk of complex disorders: The example of alcoholism and other psychiatric disorders . Twin Research. 2002;5:30–43. doi: 10.1375/1369052022875. [DOI] [PubMed] [Google Scholar]
- Hutchison KE, LaChance H, Niaura R, Bryan A, Smolen A. The DRD4 VNTR polymorphism influences reactivity to smoking cues. J Abnorm Psychol. 2002 Feb;111(1):134–43. doi: 10.1037//0021-843x.111.1.134. [DOI] [PubMed] [Google Scholar]
- Hutchison KE, McGeary J, Smolen A, Bryan A, Swift RM. The DRD4 VNTR polymorphism moderates craving after alcohol consumption. Health Psychol. 2002;21:139–146. [PubMed] [Google Scholar]
- Hutchison KE, Ray L, Sandman E, Rutter MC, Peters A, Davidson D, Swift R. The Effect of Olanzapine on Craving and Alcohol Consumption. Neuropsychopharmacology. 2005 Oct 12; doi: 10.1038/sj.npp.1300917. [DOI] [PubMed] [Google Scholar]
- Hutchison KE, Stallings M, McGeary J, Bryan A. Population stratification in the candidate gene study: fatal threat or red herring? Psychol Bull. 2004 Jan;130(1):66–79. doi: 10.1037/0033-2909.130.1.66. [DOI] [PubMed] [Google Scholar]
- Hutchison KE, Wooden A, Swift RM, Smolen A, McGeary J, Adler L, Paris L. Olanzapine reduces craving for alcohol: a DRD4 VNTR polymorphism by pharmacotherapy interaction. Neuropsychopharmacology. 2003;28:1882–8. doi: 10.1038/sj.npp.1300264. [DOI] [PubMed] [Google Scholar]
- Kalivas PW, Volkow ND. The neural basis of addiction: a pathology of motivation and choice. Am J Psychiatry. 2005 Aug;162(8):1403–13. doi: 10.1176/appi.ajp.162.8.1403. [DOI] [PubMed] [Google Scholar]
- Kaufman J, Birmaher B, Brent D, Rao U, Flynn C, Moreci P, Williamson D, Ryan N. Schedule for affective disorders and schizophrenia for school-age children - present version and lifetime version (K-SADS-PL): initial reliability and validity data. Journal of the American Academy of Child and Adolescent Psychiatry. 1997;36:980–988. doi: 10.1097/00004583-199707000-00021. [DOI] [PubMed] [Google Scholar]
- Kaufman AS, Kaufman NL. Kaufman Brief Intelligence Test Manual. Circle Pines, MN: American Guidance Service; 1990. [Google Scholar]
- Kendler KS, Gardner C, Jacobson KC, Neale MC, Prescott CA. Genetic and environmental influences on illicit drug use and tobacco use across birth cohorts. Psychol Med. 2005 Sep;35(9):1349–56. doi: 10.1017/S0033291705004964. [DOI] [PubMed] [Google Scholar]
- Klein DN, Ouimette PC, Kelly HS, Ferro T, Riso LP. Test-retest reliability team consensus best-estimate diagnoses of Axis I and II disorders in a family study. American Journal of Psychiatry. 1994;151:1043–1047. doi: 10.1176/ajp.151.7.1043. [DOI] [PubMed] [Google Scholar]
- Klein DN, Lewinsohn PM, Seeley JR, Rohde P. A family study of major depressive disorder in a community sample of adolescents. Archives of General Psychiatry. 2001;58:13–20. doi: 10.1001/archpsyc.58.1.13. [DOI] [PubMed] [Google Scholar]
- Lench N, Stanier P, Williamson R. Simple non-invasive method to obtain DNA for gene analysis. Lancet. 1988;18:1356–1358. doi: 10.1016/s0140-6736(88)92178-2. [DOI] [PubMed] [Google Scholar]
- Mackillop J, Menges DP, McGeary JE, Lisman SA. Effects of Craving and DRD4 genotype. doi: 10.1186/1744-9081-3-11. (Unpublished results) [DOI] [PMC free article] [PubMed] [Google Scholar]
- McGeary JE, Hutchison KE, Darcangelo V, Feldman J. Minor stressors and the positively reinforcing effects of alcohol [abstract] Alcoholism Clinical and Experimental Research. 2001 June;25(5):135A. [Google Scholar]
- McGeary JE, Monti PM, Rohsenow DJ, Tidey J, Swift R. The DRD4 gene, drinking and urge to drink after naltrexone: preliminary results from ecological momentary assessment [abstract] The American Journal of Medical Genetics (Neuropsychiatric Genetics) 2004;130B(1):11.8. [Google Scholar]
- Miller FG, Lazowski LE. The Adolescent SASSI-A2 Manual: Identifying Substance Use Disorders. Springville, IN: The SASSI Institute; 2001. [Google Scholar]
- Monti PM, Rohsenow D, Tidey J, McGeary J, Swift R. Naltrexone, Craving for Alcohol and Drinking: Laboratory and Ecological Assessments. [abstract] Alcoholism: Clinical and Experimental Research. 2004;28 (8):65A. [Google Scholar]
- Needle R, McCubbin H, Lorence J, Hochhauser M. Reliability and validity of adolescent self-reported drug use in a family based study: a methodological report. International Journal on Addictions. 1983;18:901–912. doi: 10.3109/10826088309033058. [DOI] [PubMed] [Google Scholar]
- Oslin DW, Berrettini W, Kranzler HR, Pettinati H, Gelernter J, Volpicelli JR, O'Brien CP. A functional polymorphism of the mu-opioid receptor gene is associated with naltrexone response in alcohol-dependent patients. Neuropsychopharmacology. 2003 Aug;28(8):1546–52. doi: 10.1038/sj.npp.1300219. [DOI] [PubMed] [Google Scholar]
- Rubonis AV, Colby SM, Monti PM, Rohsenow DJ, Gulliver SB, Sirota AD. Alcohol cue reactivity and mood induction in male and female alcoholics. J Stud Alcohol. 1994 Jul;55(4):487–94. doi: 10.15288/jsa.1994.55.487. [DOI] [PubMed] [Google Scholar]
- Sander T, Harms H, Dufeu P, Kuhn S, Rommelspacher H, Schmidt LG. Dopamine D4 receptor exon III alleles and variation of novelty seeking in alcoholics. Am J Med Genet. 1997;74:483–487. doi: 10.1002/(sici)1096-8628(19970919)74:5<483::aid-ajmg5>3.0.co;2-p. [DOI] [PubMed] [Google Scholar]
- Shao C, Li Y, Jiang K, Zhang D, Xu Y, Lin L, Wang Q, Zhao M, Jin L. Dopamine D4 receptor polymorphism modulates cue-elicited heroin craving in Chinese. Psychopharmacology (Berl) 2006 Jun;186(2):185–90. doi: 10.1007/s00213-006-0375-6. [DOI] [PubMed] [Google Scholar]
- Sinha R, O'Malley SS. Craving for alcohol: findings from the clinic and the laboratory. Alcohol Alcohol. 1999 Mar-Apr;34(2):223–30. doi: 10.1093/alcalc/34.2.223. [DOI] [PubMed] [Google Scholar]
- Smolka MN, McGeary J, Klein S, Bühler M, Leménager T, Schumann G, Heinz A, Mann K. DRD4 VNTR Polymorphism Moderates fMRI BOLD Response to Alcohol-Related Stimuli [abstract] Alcohol and Alcoholism. 2005 September;40(Suppl 1):i27. [Google Scholar]
- Sobik L, Hutchison K, Craighead L. Cue-elicited craving for food: a fresh approach to the study of binge eating. Appetite. 2005 Jun;44(3):253–61. doi: 10.1016/j.appet.2004.12.001. [DOI] [PubMed] [Google Scholar]
- Spreen O, Strauss E. A Compendium of Neuropsychological Tests: Administration, Norms, and Commentary. Oxford University Press; NY: 1998. [Google Scholar]
- Winters KC. Development of an adolescent alcohol and other drug abuse screening scale: Personal Experience Screening Questionnaire. Addictive Behaviors. 1992;17:479–490. doi: 10.1016/0306-4603(92)90008-j. [DOI] [PubMed] [Google Scholar]
- Zalsman G, Frisch A, Lewis R, Michaelovsky E, Hermesh H, Sher L, Nahshoni E, Wolovik L, Tyano S, Apter A, Weizman R, Weizman A. DRD4 receptor gene exon III polymorphism in inpatient suicidal adolescents. J Neural Transm. 2004 Dec;111(12):1593–603. doi: 10.1007/s00702-004-0182-3. [DOI] [PubMed] [Google Scholar]
- Zinser MC, Baker TB, Sherman JE, Cannon DS. Relation between self-reported affect and drug urges and cravings in continuing and withdrawing smokers. J Abnorm Psychol. 1992 Nov;101(4):617–29. doi: 10.1037//0021-843x.101.4.617. [DOI] [PubMed] [Google Scholar]