Danielle M Dick

Virginia Commonwealth University, Richmond, Virginia, United States

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Publications (197)807.31 Total impact

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    ABSTRACT: Background Adolescent drinking is an important public health concern, one that is influenced by both genetic and environmental factors. The functional variant rs1229984 in alcohol dehydrogenase 1B (ADH1B) has been associated at a genome-wide level with alcohol use disorders in diverse adult populations. However, few data are available regarding whether this variant influences early drinking behaviors and whether social context moderates this effect. This study examines the interplay between rs1229984 and peer drinking in the development of adolescent drinking milestones.Methods One thousand five hundred and fifty European and African American individuals who had a full drink of alcohol before age 18 were selected from a longitudinal study of youth as part of the Collaborative Study on the Genetics of Alcoholism (COGA). Cox proportional hazards regression, with G × E product terms in the final models, was used to study 2 primary outcomes during adolescence: age of first intoxication and age of first DSM-5 alcohol use disorder symptom.ResultsThe minor A allele of rs1229984 was associated with a protective effect for first intoxication (HR = 0.56, 95% CI 0.41 to 0.76) and first DSM-5 symptom (HR = 0.45, 95% CI 0.26 to 0.77) in the final models. Reporting that most or all best friends drink was associated with a hazardous effect for first intoxication (HR = 1.81, 95% CI 1.62 to 2.01) and first DSM-5 symptom (HR = 2.17, 95% 1.88 to 2.50) in the final models. Furthermore, there was a significant G × E interaction for first intoxication (p = 0.002) and first DSM-5 symptom (p = 0.01). Among individuals reporting none or few best friends drinking, the ADH1B variant had a protective effect for adolescent drinking milestones, but for those reporting most or all best friends drinking, this effect was greatly reduced.Conclusions Our results suggest that the risk factor of best friends drinking attenuates the protective effect of a well-established ADH1B variant for 2 adolescent drinking behaviors. These findings illustrate the interplay between genetic and environmental factors in the development of drinking milestones during adolescence.
    Alcoholism Clinical and Experimental Research 09/2014; · 3.42 Impact Factor
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    ABSTRACT: Objective: Alcohol use and internalizing problems are often positively associated during adolescence and adulthood. However, the basis of this relationship remains poorly understood, and longitudinal data collected in population-based samples could improve the development of etiological models. Method: Using a prospective population-based U.K. cohort, the current study examined the relationship between frequency of drinking during adolescence (ages 13-15, N = 7,100) with problems with depression and anxiety at average age 17 years 10 months (n = 4,292). Analyses were conducted separately by sex and adjusted by the inclusion of potential individual- and familial-level confounders. Results: Among boys, drinking frequency was positively associated with later depression but not anxiety. This association was robust to adjustment for covariates/confounders. Among girls, drinking frequency was related to later depression and anxiety in univariable analyses. In multivariable analyses, only the association with depression remained after adjustment for covariates/confounders. Results were comparable across sexes, although the effect size of drinking frequency was higher among boys. Conclusions: Higher adolescent alcohol use, even at sub-clinical levels, is associated with an increased risk of later problems with depression but may not be associated with an aggregate measure of anxiety. Future research should consider the possibility of differential relationships between multiple measures of adolescent alcohol use and distinct internalizing outcomes later in development. (J. Stud. Alcohol Drugs, 75, 758-765, 2014).
    Journal of studies on alcohol and drugs. 09/2014; 75(5):758-765.
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    ABSTRACT: Depressive symptoms and alcohol misuse contribute substantially to the global health burden. These phenotypes often manifest, and frequently co-occur, during adolescence. However, few studies have examined whether both baseline levels of depressive symptoms and change in symptoms are associated with alcohol outcomes. In addition, inconsistent findings could be due to sex differences or the use of different alcohol outcomes. Using data from a prospective population-based cohort in the UK, we estimated trajectories of depressive symptoms from 12 years 10 months to 17 years 10 months, separately for male and female participants. We assessed whether baseline and change in depressive symptoms were associated with use and harmful use of alcohol at 18 years 8 months. Among females, increasing depressive symptoms were associated with increased alcohol use; whilst for males, there was little evidence of this. When examining harmful levels of alcohol use, baseline levels of depressive symptoms in males were weakly related to later harmful alcohol use but this association was attenuated substantially through adjustment for confounders. In contrast, both baseline symptoms and increase in symptoms were associated with later harmful alcohol use in females and these associations were not diminished by confounder adjustment. Elevated depressive symptoms during adolescence are positively associated with increases in both use and harmful use of alcohol at 18 years 8 months. These findings differ between the sexes. Further research is needed to examine the mechanisms underlying the link between depressive symptoms and harmful alcohol use to identify potentially modifiable factors for intervention.
    European Child & Adolescent Psychiatry 08/2014; · 3.70 Impact Factor
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    ABSTRACT: Objective: Prior studies of the relationship between socioeconomic status (SES) and alcohol consumption and problems in adolescence have been inconclusive. Few studies have examined all three major SES indicators and a broad range of alcohol-related outcomes at different ages. Method: In the Avon Longitudinal Study of Parents and Children cohort, we examined (by logistic regression, with differential weighting to control for attrition) the relationship between family income and parental education and occupational status, and five alcohol outcomes assessed at ages 16 and 18 years. Results: At age 16, high SES-as indexed by income and education-significantly predicted frequent alcohol consumption. Low SES-as measured by education and occupational status-predicted alcohol-related problems. At age 18, high SES-particularly income and education-significantly predicted frequent alcohol consumption and heavy episodic drinking and, more weakly, symptoms of alcohol dependence. All three measures of SES were inversely related to high-quantity consumption and alcohol behavioral problems. Conclusions: In adolescents in the United Kingdom, the relationship between SES and alcohol-related behaviors is complex and varies as a function of age, SES measure, and specific outcome. High SES tends to predict increased consumption and, in later adolescence, heavy episodic drinking and perhaps symptoms of alcohol dependence. Low SES predicts alcohol-related behavioral problems and, in later adolescence, high-quantity alcohol consumption. (J. Stud. Alcohol Drugs, 75, 541-545, 2014).
    Journal of studies on alcohol and drugs. 07/2014; 75(4):541-5.
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    ABSTRACT: Objective: We examined the associations between romantic relationship status and alcohol use and problems in a large sample of first-year college students. Method: Participants (n = 2,056) came from a longitudinal study of college students who answered questions about relationship status (single, in an exclusive relationship, or dating several people), alcohol use, and alcohol problems at two time points across their first year. Results: After we controlled for a number of covariates (parental alcohol problems, high school conduct problems, peer deviance, and extraversion), we found that dating several people was associated with higher alcohol use and problems, compared with being single or being in an exclusive relationship, at the follow-up assessment only, with modest effect sizes. Being in an exclusive relationship was not associated with lower alcohol use or problems compared with being single. Relationship dissolution was associated with a modest longitudinal increase in alcohol problems. Conclusions: It is important to consider alternative relationship statuses (e.g., dating several people) for understanding the association of romantic status with alcohol use and problems in college-aged samples. Involvement in an exclusive romantic relationship (vs. being single) in this age group is not associated with the behavioral health benefits documented in older-adult samples. College students dating several people may be at risk for high levels of alcohol use or problems and may benefit from targeted interventions. Those who have recently experienced a breakup also may be at risk for increases in alcohol problems, although the clinical relevance of this finding should be tempered by the small observed effect size. (J. Stud. Alcohol Drugs, 75, 580-589, 2014).
    Journal of studies on alcohol and drugs. 07/2014; 75(4):580-9.
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    ABSTRACT: In order to further understand why depressive symptoms are associated with negative goal appraisals, the present study examined the genetic and environmental correlations and interactions between depressive symptoms and career-related goal appraisals. A total of 1,240 Finnish twins aged 21-26 years completed a questionnaire containing items on the appraisal of their career goals along five dimensions: importance, progress, effort, strain, and self-efficacy. In the same questionnaire, the 10-item General Behavior Inventory assessed depressive symptoms. Structural equation modeling was used to evaluate the genetic and environmental correlations and gene-environment interactions between the career-goal appraisals and depressive symptoms. Associations were identified, and were attributed to environmental factors. Of the career-related goal appraisals, the shared environmental component was of a higher magnitude for the dimension of strain among the depressed compared with non-depressed subjects. The results indicate that the interplay between depressive symptoms and negative career-related goal appraisals is significantly affected by environmental factors, and thus possibly susceptible to targeted interventions.
    Twin research and human genetics : the official journal of the International Society for Twin Studies. 06/2014;
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    ABSTRACT: The co-occurrence of alcohol use and antisocial behavior is well established, but different hypotheses exist regarding the direction of effects between the 2 behaviors. We used longitudinal data to examine the directional relationship between the 2 behaviors across adolescence.
    Alcoholism Clinical and Experimental Research 06/2014; · 3.42 Impact Factor
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    ABSTRACT: Alcohol and drug use disorders are individually heritable (50%). Twin studies indicate that alcohol and substance use disorders share common genetic influences, and therefore may represent a more heritable form of addiction and thus be more powerful for genetic studies. This study utilized data from 2322 subjects from 118 European-American families in the Collaborative Study on the Genetics of Alcoholism sample to conduct genome-wide association analysis of a binary and a continuous index of general substance dependence liability. The binary phenotype (ANYDEP) was based on meeting lifetime criteria for any DSM-IV dependence on alcohol, cannabis, cocaine or opioids. The quantitative trait (QUANTDEP) was constructed from factor analysis based on endorsement across the seven DSM-IV criteria for each of the four substances. Heritability was estimated to be 54% for ANYDEP and 86% for QUANTDEP. One single-nucleotide polymorphism (SNP), rs2952621 in the uncharacterized gene LOC151121 on chromosome 2, was associated with ANYDEP (P = 1.8 × 10−8), with support from surrounding imputed SNPs and replication in an independent sample [Study of Addiction: Genetics and Environment (SAGE); P = 0.02]. One SNP, rs2567261 in ARHGAP28 (Rho GTPase-activating protein 28), was associated with QUANTDEP (P = 3.8 × 10−8), and supported by imputed SNPs in the region, but did not replicate in an independent sample (SAGE; P = 0.29). The results of this study provide evidence that there are common variants that contribute to the risk for a general liability to substance dependence.
    Addiction Biology 06/2014; · 5.91 Impact Factor
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    ABSTRACT: The relationship between childhood internalizing problems and early adolescent alcohol use has been infrequently explored and remains unclear.
    Alcoholism Clinical and Experimental Research 05/2014; · 3.42 Impact Factor
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    ABSTRACT: Background: As the architecture of complex traits incorporates a widening spectrum of genetic variation, analyses integrating common and rare variation are needed. Body mass index (BMI) represents a model trait, since common variation shows robust association but accounts for a fraction of the heritability. A combined analysis of single nucleotide polymorphisms (SNP) and copy number variation (CNV) was performed using 1850 European and 498 African-Americans from the Study of Addiction: Genetics and Environment. Genetic risk sum scores (GRSS) were constructed using 32 BMI-validated SNPs and aggregate-risk methods were compared: count versus weighted and proxy versus imputation. Results: The weighted SNP-GRSS constructed from imputed probabilities of risk alleles performed best and was highly associated with BMI (p = 4.3×10 −16) accounting for 3% of the phenotypic variance. In addition to BMI-validated SNPs, common and rare BMI/obesity-associated CNVs were identified from the literature. Of the 84 CNVs previously reported, only 21-kilobase deletions on 16p12.3 showed evidence for association with BMI (p = 0.003, frequency = 16.9%), with two CNVs nominally associated with class II obesity, 1p36.1 duplications (OR = 3.1, p = 0.009, frequency 1.2%) and 5q13.2 deletions (OR = 1.5, p = 0.048, frequency 7.7%). All other CNVs, individually and in aggregate, were not associated with BMI or obesity. The combined model, including covariates, SNP-GRSS, and 16p12.3 deletion accounted for 11.5% of phenotypic variance in BMI (3.2% from genetic effects). Models significantly predicted obesity classification with maximum discriminative ability for morbid-obesity (p = 3.15×10 −18). Conclusion: Results show that incorporating validated effect sizes and allelic probabilities improve prediction algorithms. Although rare-CNVs did not account for significant phenotypic variation, results provide a framework for integrated analyses.
    BMC Genomics 05/2014; 15(1). · 4.40 Impact Factor
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    ABSTRACT: The Wellcome Trust Case Control Consortium 3 anorexia nervosa genome-wide association scan includes 2907 cases from 15 different populations of European origin genotyped on the Illumina 670K chip. We compared methods for identifying population stratification, and suggest list of markers that may help to counter this problem. It is usual to identify population structure in such studies using only common variants with minor allele frequency (MAF) >5%; we find that this may result in highly informative SNPs being discarded, and suggest that instead all SNPs with MAF >1% may be used. We established informative axes of variation identified via principal component analysis and highlight important features of the genetic structure of diverse European-descent populations, some studied for the first time at this scale. Finally, we investigated the substructure within each of these 15 populations and identified SNPs that help capture hidden stratification. This work can provide information regarding the designing and interpretation of association results in the International Consortia
    European Journal of HumanGenetics 02/2014; · 4.32 Impact Factor
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    ABSTRACT: The study of gene-environment interaction (G × E) has garnered widespread attention. The most common way to assess interaction effects is in a regression model with a G × E interaction term that is a product of the values specified for the genotypic (G) and environmental (E) variables. In this paper we discuss the circumstances under which interaction can be modeled as a product term and cases in which use of a product term is inappropriate and may lead to erroneous conclusions about the presence and nature of interaction effects. In the case of a binary coded genetic variant (as used in dominant and recessive models, or where the minor allele occurs so infrequently that it is not observed in the homozygous state), the regression coefficient corresponding to a significant interaction term reflects a slope difference between the two genotype categories and appropriately characterizes the statistical interaction between the genetic and environmental variables. However, when using a three-category polymorphic genotype, as is commonly done when modeling an additive effect, both false positive and false negative results can occur, and the nature of the interaction can be misrepresented. We present a reparameterized regression equation that accurately captures interaction effects without the constraints imposed by modeling interactions using a single cross-product term. In addition, we provide a series of recommendations for making conclusions about the presence of meaningful G × E interactions, which take into account the nature of the observed interactions and whether they map onto sensible genotypic models.
    Behavior Genetics 02/2014; · 2.61 Impact Factor
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    ABSTRACT: Anorexia nervosa (AN) is a complex and heritable eating disorder characterized by dangerously low body weight. Neither candidate gene studies nor an initial genome-wide association study (GWAS) have yielded significant and replicated results. We performed a GWAS in 2907 cases with AN from 14 countries (15 sites) and 14 860 ancestrally matched controls as part of the Genetic Consortium for AN (GCAN) and the Wellcome Trust Case Control Consortium 3 (WTCCC3). Individual association analyses were conducted in each stratum and meta-analyzed across all 15 discovery data sets. Seventy-six (72 independent) single nucleotide polymorphisms were taken forward for in silico (two data sets) or de novo (13 data sets) replication genotyping in 2677 independent AN cases and 8629 European ancestry controls along with 458 AN cases and 421 controls from Japan. The final global meta-analysis across discovery and replication data sets comprised 5551 AN cases and 21 080 controls. AN subtype analyses (1606 AN restricting; 1445 AN binge–purge) were performed. No findings reached genome-wide significance. Two intronic variants were suggestively associated: rs9839776 (P=3.01 × 10−7) in SOX2OT and rs17030795 (P=5.84 × 10−6) in PPP3CA. Two additional signals were specific to Europeans: rs1523921 (P=5.76 × 10−6) between CUL3 and FAM124B and rs1886797 (P=8.05 × 10−6) near SPATA13. Comparing discovery with replication results, 76% of the effects were in the same direction, an observation highly unlikely to be due to chance (P=4 × 10−6), strongly suggesting that true findings exist but our sample, the largest yet reported, was underpowered for their detection. The accrual of large genotyped AN case-control samples should be an immediate priority for the field.
    Molecular Psychiatry 02/2014; · 15.15 Impact Factor
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    ABSTRACT: Objective: A person's pattern of heavier drinking often changes over time, especially during the early drinking years, and reflects complex relationships among a wide range of characteristics. Optimal understanding of the predictors of drinking during times of change might come from studies of trajectories of alcohol intake rather than cross-sectional evaluations. Method: The patterns of maximum drinks per occasion were evaluated every 2 years between the average ages of 18 and 24 years for 833 subjects from the Collaborative Study on the Genetics of Alcoholism. Latent class growth analysis identified latent classes for the trajectories of maximum drinks, and then logistic regression analyses highlighted variables that best predicted class membership. Results: Four latent classes were found, including Class 1 (69%), with about 5 maximum drinks per occasion across time; Class 2 (15%), with about 9 drinks at baseline that increased to 18 across time; Class 3 (10%), who began with a maximum of 18 drinks per occasion but decreased to 9 over time; and Class 4 (6%), with a maximum of about 22 drinks across time. The most consistent predictors of higher drinking classes were female sex, a low baseline level of response to alcohol, externalizing characteristics, prior alcohol and tobacco use, and heavier drinking peers. Conclusions: Four trajectory classes were observed and were best predicted by a combination of items that reflected demography, substance use, level of response and externalizing phenotypes, and baseline environment and attitudes. (J. Stud. Alcohol Drugs, 75, 24-34, 2014).
    Journal of studies on alcohol and drugs 01/2014; 75(1):24-34. · 1.68 Impact Factor
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    ABSTRACT: AbstractBackground The age at onset of alcohol dependence (AD) is a critical moderator of genetic associations for alcohol dependence. The present study evaluated whether single nucleotide polymorphisms (SNPs) can influence the age at onset of AD in large high-risk families from the Collaborative Study on the Genetics of Alcoholism (COGA). Methods Genomewide SNP genotyping was performed in 1788 regular drinkers from 118 large European American families densely affected with alcoholism. We used a genome-wide Cox proportional hazards regression model to test for association between age at onset of AD and SNPs. Results This family-based analysis identified an intergenic SNP, rs2168784 on chromosome 3 that showed strong evidence of association (p= 5 × 10−9) with age at onset of AD among regular drinkers. Carriers of the minor allele of rs2168784 had 1.5 times the hazard of AD onset as compared with those homozygous for the major allele. By the age of 20 years, nearly 30% of subjects homozygous for the minor allele were alcohol dependent while only 19% of those homozygous for the major allele were. We also identified intronic SNPs in the ADP-ribosylation factor like 15 (ARL15) gene on chromosome 5 (P = 1.11 × 10−8) and the UTP20 small subunit (UTP20) gene on chromosome 12 (P = 4.32 × 10−8) that were associated with age at onset of AD. Conclusions This extended family based genome-wide cox-proportional hazards analysis identified several loci that might be associated with age at onset of AD.
    Drug and Alcohol Dependence 01/2014; · 3.14 Impact Factor
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    ABSTRACT: Alcohol problems represent a classic example of a complex behavioral outcome that is likely influenced by many genes of small effect. A polygenic approach, which examines aggregate measured genetic effects, can have predictive power in cases where individual genes or genetic variants do not. In the current study, we first tested whether polygenic risk for alcohol problems-derived from genome-wide association estimates of an alcohol problems factor score from the age 18 assessment of the Avon Longitudinal Study of Parents and Children (ALSPAC; n = 4304 individuals of European descent; 57% female)-predicted alcohol problems earlier in development (age 14) in an independent sample (FinnTwin12; n = 1162; 53% female). We then tested whether environmental factors (parental knowledge and peer deviance) moderated polygenic risk to predict alcohol problems in the FinnTwin12 sample. We found evidence for both polygenic association and for additive polygene-environment interaction. Higher polygenic scores predicted a greater number of alcohol problems (range of Pearson partial correlations 0.07-0.08, all p-values ≤ 0.01). Moreover, genetic influences were significantly more pronounced under conditions of low parental knowledge or high peer deviance (unstandardized regression coefficients (b), p-values (p), and percent of variance (R2) accounted for by interaction terms: b = 1.54, p = 0.02, R2 = 0.33%; b = 0.94, p = 0.04, R2 = 0.30%, respectively). Supplementary set-based analyses indicated that the individual top single nucleotide polymorphisms (SNPs) contributing to the polygenic scores were not individually enriched for gene-environment interaction. Although the magnitude of the observed effects are small, this study illustrates the usefulness of polygenic approaches for understanding the pathways by which measured genetic predispositions come together with environmental factors to predict complex behavioral outcomes.
    Genes. 01/2014; 5(2):330-46.
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    ABSTRACT: Background Adolescent substance use is associated with lower educational achievement but the directionality of the association remains uncertain. We analyzed data on drinking, smoking and educational achievement to study the associations between substance use and education from early adolescence to young adulthood. Methods Longitudinal data from four time points (ages 12, 14, 17, and 19-27 years) from a population-based cohort study of Finnish twin individuals were used to estimate bivariate cross-lagged path models for substance use and educational achievement, adjusting for sex, parental covariates, and adolescent externalizing behavior. A total of 4,761 individuals (49.4% females) were included in the analyses. Educational achievement was assessed with teacher-reported grade point average at ages 12 and 14, and with self-reported student status and completed education at age 17 and in young adulthood. From self-reported questionnaire items, frequency of any drinking, frequency of drinking to intoxication, any smoking and daily smoking were analyzed. Results Alcohol use and smoking behaviors at ages 12 and 14 predicted lower educational achievement at later time points even after previous achievement and confounding factors were taken into account. Lower school achievement in adolescence predicted a higher likelihood of engaging in smoking behaviors but did not predict later alcohol use. Higher educational attainment at age 17 predicted more frequent drinking in young adulthood. Conclusions Adolescent drinking behaviors are associated with lower future educational achievement independently of prior achievement, whereas smoking both predicts and is predicted by lower achievement. Early substance use indexes elevated risk for poor educational outcomes.
    Drug and alcohol dependence 01/2014; · 3.60 Impact Factor
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    ABSTRACT: Finding genes involved in complex behavioral outcomes, and understanding the pathways by which they confer risk, is a challenging task, necessitating large samples that are phenotypically well characterized across time. We describe an effort to create a university-wide research project aimed at understanding how genes and environments impact alcohol use and related substance use and mental health outcomes across time in college students. Nearly 70% of the incoming freshman class (N = 2715) completed on-line surveys, with 80% of the students from the fall completing spring follow-ups. 98% of eligible participants also gave DNA. The participants closely approximated the university population in terms of gender and racial/ethnic composition. Here we provide initial results on alcohol use outcomes from the first wave of the sample, as well as associated predictor variables. We discuss the potential for this kind of research to advance our understanding of genetic and environment influences on substance use and mental health outcomes.
    Frontiers in Genetics 01/2014; 5:47.
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    ABSTRACT: Background In a community sample of low-income African American adolescents, we tested the interactive effects of variation in the mu 1 opioid receptor (OPRM1) gene and the occurrence of stressful life events on symptoms of depression. Method Interactive effects of 24 OPRM1 simple nucleotide polymorphisms (SNP) and adolescent report of stressful life events on depression were tested using multilevel regressions. SNPs were dummy coded to test both additive and dominate forms of coding. Results Five OPRM1 SNPs showed significant evidence of interaction with stressful life events to alter depression risk (or symptoms) after adjusting for multiple testing and the correlated nature of the SNPs. Follow-up analyses showed significant differences based on OPRM1 genotype at both lower and higher frequencies of stressful life events, suggesting that participants with a copy of the minor allele on OPRM1 SNPs rs524731, rs9478503, rs3778157, rs10485057, and rs511420 have fewer symptoms in low stress conditions but more symptoms in high stress conditions compared to major allele homozygotes. Limitations The genetic variants associated with depression in African American adolescents may not translate to other ethnic groups. This study is also limited in that only one gene that functions within a complex biological system is addressed. Conclusions This current study is the first to find an interaction between OPRM1 and life stress that is associated with depression. It also addressed an understudied population within the behavioral genetics literature. Further research should test additional genes involved in the opioid system and expand the current findings to more diverse samples.
    Journal of affective disorders 01/2014; 162:12–19. · 3.76 Impact Factor
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    ABSTRACT: We explore the factor structure of DSM-5 cannabis use disorders, examine its prevalence across European- and African-American respondents as well as its genetic underpinnings, utilizing data from a genome-wide study of single nucleotide polymorphisms (SNPs). We also estimate the heritability of DSM-5 cannabis use disorders explained by these common SNPs. Data on 3053 subjects reporting a lifetime history of cannabis use were utilized. Exploratory and confirmatory factor analyses were conducted to create a factor score, which was used in a genome-wide association analysis. p-values from the single SNP analysis were examined for evidence of gene-based association. The aggregate effect of all SNPs was also estimated using Genome-Wide Complex Traits Analysis. The unidimensionality of DSM-5 cannabis use disorder criteria was demonstrated. Comparing DSM-IV to DSM-5, a decrease in prevalence of cannabis use disorders was only noted in European-American respondents and was exceedingly modest. For the DSM-5 cannabis use disorders factor score, no SNP surpassed the genome-wide significance testing threshold. However, in the European-American subsample, gene-based association testing resulted in significant associations in 3 genes (C17orf58, BPTF and PPM1D) on chromosome 17q24. In aggregate, 21% of the variance in DSM-5 cannabis use disorders was explained by the genome-wide SNPs; however, this estimate was not statistically significant. DSM-5 cannabis use disorder represents a unidimensional construct, the prevalence of which is only modestly elevated above the DSM-IV version. Considerably larger sample sizes will be required to identify individual SNPs associated with cannabis use disorders and unequivocally establish its polygenic underpinnings.
    Drug and alcohol dependence 11/2013; · 3.60 Impact Factor

Publication Stats

5k Citations
807.31 Total Impact Points

Institutions

  • 2008–2014
    • Virginia Commonwealth University
      • • Virginia Institute for Psychiatric and Behavioral Genetics
      • • Department of Psychiatry
      Richmond, Virginia, United States
    • Indian Statistical Institute
      • Human Genetics Unit (HGU)
      Baranagar, Bengal, India
    • Washington School of Psychiatry
      Washington, Washington, D.C., United States
    • University of Iowa
      • Department of Psychiatry
      Iowa City, IA, United States
    • Erasmus MC
      • Department of Child and Adolescent Psychiatry / Psychology
      Rotterdam, South Holland, Netherlands
  • 2008–2013
    • University of Helsinki
      • Department of Dental Public Health
      Helsinki, Province of Southern Finland, Finland
  • 2004–2013
    • Washington University in St. Louis
      • • Department of Psychiatry
      • • Department of Psychology
      Saint Louis, MO, United States
  • 2012
    • University of Colorado at Boulder
      • Institute for Behavioral Genetics (IBG)
      Boulder, CO, United States
  • 2010–2012
    • National Institute for Health and Welfare, Finland
      • Department of Mental Health and Substance Abuse Services (MHSA)
      Helsinki, Province of Southern Finland, Finland
    • University of Minnesota Twin Cities
      • Department of Psychology
      Minneapolis, MN, United States
    • UConn Health Center
      • Department of Psychiatry
      Farmington, CT, United States
    • University of Amsterdam
      • Department of Education
      Amsterdam, North Holland, Netherlands
  • 2000–2012
    • Indiana University Bloomington
      • Department of Psychological and Brain Sciences
      Bloomington, IN, United States
  • 2008–2010
    • University of Iowa Children's Hospital
      Iowa City, Iowa, United States
  • 2002–2010
    • Indiana University-Purdue University Indianapolis
      • • Department of Chemistry and Chemical Biology
      • • Department of Biochemistry and Molecular Biology
      • • Department of Medical and Molecular Genetics
      Indianapolis, IN, United States
  • 2009
    • University of California, San Diego
      • Department of Psychiatry
      San Diego, CA, United States
  • 2001–2008
    • University of Jyväskylä
      • Department of Psychology
      Jyväskylä, Province of Western Finland, Finland
    • Indiana University Health
      Bloomington, Indiana, United States
  • 2006
    • University of Washington Seattle
      • Department of Psychology
      Seattle, WA, United States
  • 2003–2005
    • Indiana University-Purdue University School of Medicine
      • Institute of Psychiatric Research
      Indianapolis, Indiana, United States