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Haplotypic variants in DRD2, ANKK1, TTC12, and NCAM1 are associated with comorbid alcohol and drug dependence.

ABSTRACT: Each gene in the chromosome 11q23 cluster of NCAM1, TTC12, ANKK1, and DRD2 is functionally linked to dopamine in brain. Many association studies of DRD2 and substance dependence (SD), including alcohol dependence (AD) and drug dependence (DD), have been reported; the results have been inconsistent. Recent association studies have considered this cluster more comprehensively, examining the association of SD with several risk variants mapped to the other genes in the cluster. Because comorbid AD with DD (AD+DD) is common, we hypothesized that heterogeneity of the SD diagnoses studied might have contributed to the inconsistency of prior results.We conducted 2 separate association studies of AD+DD and AD without DD (AD-only) in 1,090 European-Americans using family-based and case-control designs and 43 single nucleotide polymorphisms mapped to this cluster. We used a generalized linear model and haplotype score tests for the case-control sample, and the family-based association test for the family sample.For AD+DD, the risk regions centered on TTC12 exon 3 [optimal individual haplotype simulated p (p(oihs)) = 0.000015], and another extended from ANKK1 exon 8 to DRD2;C957T (p(oihs) = 0.0028), in both samples. NCAM1 exon 12 markers showed global significance in both designs, but were significant for specific haplotypes (p(oihs) = 0.0029) only for the family sample. For AD-only, NCAM1 intron 14 to 18 and the junction of ANKK1 and DRD2 were associated globally. Population stratification was excluded as the basis for these results. Linkage disequilibrium contrast tests supported selection at TTC12 exon 3 and ANKK1 exon 2.We conclude that variants in TTC12 exon 3, NCAM1 exon 12, and the two 3'-ends of ANKK1 and DRD2 co-regulate risk for comorbid AD and DD.

SUBMITTER: Yang BZ

PROVIDER: S-EPMC2975565 | biostudies-literature | 2008 Dec

REPOSITORIES: biostudies-literature

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Haplotypic variants in DRD2, ANKK1, TTC12, and NCAM1 are associated with comorbid alcohol and drug dependence.

Yang Bao-Zhu BZ Kranzler Henry R HR Zhao Hongyu H Gruen Jeffrey R JR Luo Xingguang X Gelernter Joel J

Alcoholism, clinical and experimental research 20080930 12

<h4>Background</h4>Each gene in the chromosome 11q23 cluster of NCAM1, TTC12, ANKK1, and DRD2 is functionally linked to dopamine in brain. Many association studies of DRD2 and substance dependence (SD), including alcohol dependence (AD) and drug dependence (DD), have been reported; the results have been inconsistent. Recent association studies have considered this cluster more comprehensively, examining the association of SD with several risk variants mapped to the other genes in the cluster. Be ...[more]

PMID: 18828801

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Project description:ContextThe genetic contribution to liability for opioid dependence is well established; identification of the responsible genes has proved challenging.ObjectiveTo examine association of 1430 candidate gene single-nucleotide polymorphisms (SNPs) with heroin dependence, reporting here only the 71 SNPs in the chromosome 11 gene cluster (NCAM1, TTC12, ANKK1, DRD2) that include the strongest observed associations.DesignCase-control genetic association study that included 2 control groups (lacking an established optimal control group).SettingSemistructured psychiatric interviews.ParticipantsA total of 1459 Australian cases ascertained from opioid replacement therapy clinics, 531 neighborhood controls ascertained from economically disadvantaged areas near opioid replacement therapy clinics, and 1495 unrelated Australian Twin Registry controls not dependent on alcohol or illicit drugs selected from a twin and family sample.Main outcome measureLifetime heroin dependence.ResultsComparison of cases with Australian Twin Registry controls found minimal evidence of association for all chromosome 11 cluster SNPs (P ≥ .01); a similar comparison with neighborhood controls revealed greater differences (P ≥ 1.8 × 10(-4)). Comparing cases (n = 1459) with the subgroup of neighborhood controls not dependent on illicit drugs (n = 340), 3 SNPs were significantly associated (correcting for multiple testing): ANKK1 SNP rs877138 (most strongly associated; odds ratio = 1.59; 95% CI, 1.32-1.92; P = 9.7 × 10(-7)), ANKK1 SNP rs4938013, and TTC12 SNP rs7130431. A similar pattern of association was observed when comparing illicit drug-dependent (n = 191) and nondependent (n = 340) neighborhood controls, suggesting that liability likely extends to nonopioid illicit drug dependence. Aggregate heroin dependence risk associated with 2 SNPs, rs877138 and rs4492854 (located in NCAM1), varied more than 4-fold (P = 2.7 × 10(-9) for the risk-associated linear trend).ConclusionsOur results provide further evidence of association for chromosome 11 gene cluster SNPs with substance dependence, including extension of liability to illicit drug dependence. Our findings highlight the necessity of considering drug exposure history when selecting control groups for genetic investigations of illicit drug dependence.

Project description:ImportanceAlcohol dependence (AD) and major depression (MD) are leading causes of disability that often co-occur. Genetic epidemiologic data have shown that AD and MD share a common possible genetic cause. The molecular nature of this shared genetic basis is poorly understood.ObjectivesTo detect genetic risk variants for comorbid AD and MD and to determine whether polygenic risk alleles are shared with neuropsychiatric traits or subcortical brain volumes.Design, setting, and participantsThis genome-wide association study analyzed criterion counts of comorbid AD and MD in African American and European American data sets collected as part of the Yale-Penn study of the genetics of drug and alcohol dependence from February 14, 1999, to January 13, 2015. After excluding participants never exposed to alcohol or with missing information for any diagnostic criterion, genome-wide association studies were performed on 2 samples (the Yale-Penn 1 and Yale-Penn 2 samples) totaling 4653 African American participants and 3169 European American participants (analyzed separately). Tests were performed to determine whether polygenic risk scores derived from potentially related traits in European American participants could be used to estimate comorbid AD and MD.Main outcomes and measuresComorbid criterion counts (ranging from 0 to 14) for AD (7 criteria) and MD (9 criteria, scaled to 7) as defined by the DSM-IV.ResultsOf the 7822 participants (3342 women and 4480 men; mean [SD] age, 40.1 [10.7] years), the median comorbid criterion count was 6.2 (interquartile range, 2.3-10.9). Under the linear regression model, rs139438618 at the semaphorin 3A (SEMA3A [OMIM 603961]) locus was significantly associated with AD and MD comorbidity in African American participants in the Yale-Penn 1 sample (β = 0.89; 95% CI, 0.57-1.20; P = 2.76 × 10-8). In the independent Yale-Penn 2 sample, the association was also significant (β = 0.83; 95% CI, 0.39-1.28; P = 2.06 × 10-4). Meta-analysis of the 2 samples yielded a more robust association (β = 0.87; 95% CI, 0.61-1.12; P = 2.41 × 10-11). There was no significant association identified in European American participants. Analyses of polygenic risk scores showed that individuals with a higher risk of neuroticism (β = 1.01; 95% CI, 0.50-1.52) or depressive symptoms (β = 0.87; 95% CI, 0.32-1.42) and a lower level of subjective well-being (β = -0.94; 95% CI, -1.46 to -0.42) and educational attainment (β = -1.00, 95% CI, -1.57 to -0.44) had a higher level of AD and MD comorbidity, while larger intracranial (β = 1.07; 95% CI, 0.50 to 1.64) and smaller putamen volumes (β = -1.16; 95% CI, -1.86 to -0.46) were associated with higher risks of AD and MD comorbidity.Conclusions and relevanceSEMA3A variation is significantly and replicably associated with comorbid AD and MD in African American participants. Analyses of polygenic risk scores identified pleiotropy with neuropsychiatric traits and brain volumes. Further studies are warranted to understand the biological and genetic mechanisms of this comorbidity, which could facilitate development of medications and other treatments for comorbid AD and MD.

Project description:In 1990, Blum and colleagues first reported an association between DRD2 and alcoholism. While there have been subsequent replications of this genetic association, there have also been numerous studies that failed to detect an association between DRD2 and alcohol dependence. We propose that one aspect contributing to this inconsistency is the variation in alcohol phenotype used across studies. Within the population-based Finnish twin sample, FinnTwin16, we previously performed multivariate twin analyses to extract latent genetic factors, which account for the variation across seven measures of alcohol consumption (frequency of drinking, frequency?×?quantity, frequency of heavy drinking, frequency of intoxication and maximum drinks in a 24-hour period) and problems (the Rutgers Alcohol Problem Index-RAPI and the Mälmö-modified Michigan Alcohol Screen Test-MmMAST) in 3065 twins. In the present study, we examined the association between 31 DRD2/ANKK1 single-nucleotide polymorphisms (SNPs) and the genetic factor scores generated by twin analyses in a subset of FinnTwin16 (n?=?602). We focus on two of the genetic factors: a general alcohol consumption and problems factor score, which represents shared genetic variance across alcohol measures, and a alcohol problems genetic factor score, which loads onto the two indices of problematic drinking (MAST and RAPI). After correction for multiple testing across SNPs and phenotypes, of the 31 SNPs genotyped across DRD2/ANKK1, one SNP (rs10891549) showed significant association with the general alcohol consumption and problems factor score (P?=?0.004), and four SNPs (rs10891549, rs1554929, rs6275, rs6279), representing two independent signals after accounting for linkage disequilibrium, showed significant association with the alcohol problems genetic factor score (P?=?0.005, P?=?0.005, P?=?0.003, P?=?0.003). In this study, we provide additional positive evidence for the association between DRD2/ANKK1 and alcohol outcomes, including frequency of drinking and drinking problems. Additionally, post hoc analyses indicate stronger association signals using genetic factor scores than individual measures, which suggest that accounting for the genetic architecture of the alcohol measures reduces genetic heterogeneity in alcohol dependence outcomes in this sample and enhances the ability to detect association.

Dataset Information

Haplotypic variants in DRD2, ANKK1, TTC12, and NCAM1 are associated with comorbid alcohol and drug dependence.

Publications

Haplotypic variants in DRD2, ANKK1, TTC12, and NCAM1 are associated with comorbid alcohol and drug dependence.

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