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Logo of nihpaAbout Author manuscriptsSubmit a manuscriptHHS Public Access; Author Manuscript; Accepted for publication in peer reviewed journal;
Arch Gen Psychiatry. Author manuscript; available in PMC 2009 October 6.
Published in final edited form as:
PMCID: PMC2758158

Association of Variants in MANEA With Cocaine-Related Behaviors



Cocaine dependence (CD) and related behaviors are highly heritable, but no genetic association has been consistently demonstrated. A recent genome-wide study of drug dependence identified an association between cocaine-induced paranoia (CIP) and a single-nucleotide polymorphism (SNP) in the α-endomannosidase (MANEA) locus in a family-based sample of European Americans and African Americans.


To conduct a comprehensive genetic association study of the MANEA locus with CD and CIP.


Genome-wide association study.


Four university hospitals.


A total of 3992 individuals from 2 family-based and 2 case-control samples.


Participants were classified as having CD or CIP or as a control using the Semi-Structured Assessment for Drug Dependence and Alcoholism. They were genotyped for 11 SNPs spanning MANEA and its surrounding region.

Main Outcome Measure

Association of CD and CIP with individual SNPs and haplotypes.


Cocaine-induced paranoia was associated with 6 SNPs in the European American families and 9 SNPs in the African American families. The strongest evidence in the total sample of families was observed in 3 markers located in the promoter and 3′ untranslated regions (P < .001). The association of MANEA SNPs with CD in both family samples was much weaker. In the African American case-control sample, multiple markers were significantly associated with CIP and CD; CIP and CD were also significantly associated with a 2-SNP haplotype in the European American case-control sample. The A allele of the 3′ untranslated region SNP rs9387522 was associated with increased risk of CIP in all 4 data sets.


Our findings suggest that CD and associated behaviors may involve biological pathways not typically thought to be associated with brain metabolism.

COCAINE IS WIDELY USED IN the United States. The 2002 National Survey on Drug Use and Health revealed that nearly 6 million Americans aged 12 years or older used the drug during the preceding year, making cocaine second only to cannabis as the most commonly used illicit drug.1 Compulsive use of cocaine is also common, with more than 1 million individuals meeting criteria for dependence on the drug.1 Cocaine dependence (CD) is associated with criminal behavior and accidental injury and spans geographical region, race and ethnicity, and socioeconomic status.

Vulnerability to the development of CD varies among individuals. Adoption, twin, and family studies show a substantial genetic contribution to CD.2-6 Identification of genes that influence CD susceptibility could help elucidate the etiology of the disorder and provide critical insight to develop efficacious treatments. Reports of genetic associations for CD derive mostly from relatively small samples,7-9 resulting in limited capacity for replication.10-13 Evidence for multiple subtypes of CD14,15 makes it possible to decompose the broader set of those with CD into phenotypic subgroups, thereby reducing the genetic heterogeneity of the sample and increasing the likelihood of identifying a particular genetic factor that contributes to risk. Most (up to 60%-80%) long-term cocaine users experience transient psychotic symptoms, such as paranoia and hallucinations, that typically resolve with abstinence.16-18 Cocaine-induced paranoia (CIP) appears to represent a reliably identifiable phenotype that reflects interindividual differences in the brain's response to cocaine.18 Cocaine-induced paranoia has important clinical and public health significance, since, in addition to being highly prevalent, it appears to pre-dispose individuals to a number of high-risk behaviors, including accidents, self-harm, and violence toward others.19,20

A genome-wide linkage scan detected regions that harbor genes for CD on chromosomes 3 and 10, and for CIP on chromosome 9,21 but no genes under these linkage peaks have yet been identified as risk loci for either condition. Moreover, studies targeting candidate genes selected because of inferred roles in cocaine metabolism or compulsive use have not yielded confirmed associations for CD or CIP, though there are several previous reports of CIP's association with dopamine-pathway genes.22,23 Recently, we conducted a genome-wide association study using a low-density SNP array for 6 traits corresponding to 4 major substance dependence disorders (including CD) in a family-based cohort that included 2 distinct population groups. The most remarkable result was an association of a single-nucleotide polymorphism (SNP), rs1133503, in the 3′ untranslated region (UTR) of the MANEA gene (GenBank 79694) with CIP in European American (EA) families (P=.007), African American (AA) families (P=.002), and all families combined (P>.001).24 Although this result was not significant after adjustment for multiple comparisons, the hypotheses that were generated prompted a more comprehensive association study of this gene with cocaine-related traits in 2 discovery data sets (EA and AA families) and 2 independent EA and AA replication data sets composed of unrelated cases and controls ascertained for studies of alcohol and drug dependence.



Subjects were recruited from Yale University School of Medicine (APT Foundation, New Haven, Connecticut), the University of Connecticut Health Center (Farmington), McLean Hospital (Harvard Medical School, Belmont, Massachusetts), and the Medical University of South Carolina (Charleston) into 1 of 2 study arms. Six hundred thirty-two families ascertained through affected sibling pairs that met DSM-IV criteria for CD or opioid dependence as previously described,15,21,25 containing at least 1 examined sibling with CD or CIP, formed the discovery sample. Of the 632 families, 119 had at least 1 sibling pair discordant for CD and 319 had at least 1 sibling pair discordant for CIP. Of the 1612 genotyped subjects, 160 were parents (9.9%) (and the remainder were siblings) and 141 did not contribute information about substance dependence (8.7%). An independent group of 2073 unrelated subjects recruited for studies of CD (n=667), opioid dependence (n=103), or alcohol dependence (n=1303) were included in a replication sample. Genetic studies of CD and related traits in a subset of this sample have been published.10,23

All subjects were interviewed using the Semi-Structured Assessment for Drug Dependence and Alcoholism, which has been shown to yield reliable substance dependence diagnoses.21,26 Subjects with a primary diagnosis of a major psychotic illness (schizophrenia or schizoaffective disorder) were excluded. A diagnosis of CD was established if the subject met 3 or more of the 7 DSM-IV criteria during a 12-month period. The interrater reliability of the Semi-Structured Assessment for Drug Dependence and Alcoholism diagnosis of CD was previously shown to be κ=0.83.21 Subjects who gave an affirmative answer to the question, “Have you ever had a paranoid experience when you were using cocaine?” were diagnosed as being affected by CIP. The overall reliability of CIP diagnosis was previously shown to be excellent (κ=0.87).21 Controls did not use cocaine, but individuals who had dependence on other substances were included. Probands were excluded from further study if they had a diagnosed major psychotic illness (eg, schizophrenia or schizoaffective disorder). Subjects who had missing responses to items on the Semi-Structured Assessment for Drug Dependence and Alcoholism that were required for the determination of CD or CIP status were also excluded.

Subjects gave informed consent as approved by the institutional review board at each clinical site. A certificate of confidentiality for the work was obtained from both the National Institute on Drug Abuse and the National Institute on Alcohol Abuse and Alcoholism. Characteristics of both samples included in this study are given in Table 1.

Table 1
Characteristics of Subjects in a Genetic Study of Cocaine Dependence (CD) and Cocaine-Induced Paranoia (CIP)


Eleven SNPs spanning 83 kilobases (kb) upstream of the MANEA promoter to downstream of the MANEA 3′ UTR were selected from the National Center for Biotechnology Information database or by the Applied Biosystems SNPbrowser, version 3.5 (Applied Biosystems, Foster City, California). Characteristics of each SNP are presented in Table 2. The average intermarker distance is 8295 base pairs (bp) for all SNPs, but only 5600 bp for the 7 SNPs in the promoter and coding regions. Most SNPs were genotyped with a fluorogenic 5′ nuclease assay method, ie, the TaqMan technique,27 using the Applied Biosystems PRISM 7900 Sequence Detection System. One SNP (SNP 8) was genotyped in the family sample at the Center for Inherited Disease Research as part of the Illumina Linkage IVb Marker Panel (

Table 2
SNP Characteristics


Subjects in the family-based sample were classified as AA or EA based on a Bayesian model-based clustering method as previously described28 using approximately 400 short tandem repeat markers and more than 5000 SNP markers from the Illumina Linkage IVb Marker Panel. The race and ethnicity of subjects in the replication sample were self-identified. The genetic backgrounds of nearly two-thirds of these subjects were also analyzed with the Bayesian approach using a set of 180 ancestry informative markers. One hundred nineteen subjects in the replication sample who self-reported their ethnicity as something other than AA or EA and lacked ancestry informative marker data were excluded from further analysis. This resulted in a final replication sample of 1921 subjects. The AA and EA population groups were treated as independent samples for all primary analyses.


Consistency with Hardy-Weinberg equilibrium expectations for each SNP was examined with the χ2 test in each discovery sample, using a set of unrelated subjects without CD (1 random unaffected subject from each family), and in each of the control groups from the replication sample. Two SNPs (rs9400554 and rs6937479) with significant evidence of deviation from Hardy-Weinberg equilibrium (P>.001) in the AA replication sample were excluded from analyses of allelic and genotypic association in that data set. In the family samples, mendelian inheritance of all genotypes was evaluated using PedCheck,29 and pairwise marker linkage disequilibrium was examined using the Haploview program, version 4.0.30 Association of the MANEA SNPs with CD and CIP in the family samples was evaluated using the FBAT program,31 assuming an additive model under the null hypothesis of no linkage and no association. Allele frequencies were estimated by FBAT using the expectation-maximum algorithm. In the case-control samples, a χ2 test was used to examine the association of SNP alleles and genotypes with cocaine-related traits. Odds ratios and their 95% confidence intervals for the allelic associations were computed using logistic regression analysis. Odds ratios were unaffected by adjustment for age and sex. In these analyses, controls were compared with distinct case samples of subjects with CIP and subjects with CD who did not have CIP. Haplotype association analyses were performed in the family samples using HBAT, the haplotype extension routine in the FBAT program,32 and in the case-control samples using haplo.stats.33



In the EA family sample, 6 of the 11 markers, including rs1133503 from the genome scan,24 showed at least a nominally significant association with CIP (Table 3). These 6 markers and 3 others were also significant in the AA family sample. The patterns of association were identical in the 2 population groups for all 9 markers (which represent all markers tested in the promoter and coding regions), evidenced by increased significance in the total sample of families. The strongest evidence for association in either population (AA, P<.001) and in the total sample (P<.001) was observed with rs6937479, which is located in the putative promoter region. The association of MANEA SNPs with CD was much weaker. In the EA families, nominally significant results were obtained with rs9374586 (P = .01), rs1133503 (P = .04), and rs9387522 (P = .03). Although no significant associations were obtained in the AA families, trends were evident in that population for several markers. Eight markers (rs9400554, rs9320497, rs6937479, rs9374586, rs9400893, rs1133503, rs9387522, and rs9387605) were nominally associated with CD in the total group of families (.007≤P≤.03).

Table 3
Association of MANEA SHPs With CIP in Discovery Samples

Haplotype analysis was conducted in the family samples to help narrow the location of a CIP susceptibility locus and to determine whether a single functional variant could explain the pattern of association findings with individual SNPs in each population group. As a first step, we evaluated linkage distribution among the 11 SNPs to reduce the number of potentially informative markers for haplotype analysis. This analysis, shown in the Figure, revealed slightly more extensive linkage distribution in EAs than in AAs. These population-specific patterns are consistent with the linkage distribution structures reported in the HapMap database for this genetic region.34 Taking into account the linkage distribution block structure and the association findings with individual SNPs, we selected 3 SNPs (rs9400554, rs6937479, and rs9387522) for haplotype analysis. These markers include the 2 most significant results in the combined sample and account for the potentially uniquely important information from each linkage distribution block spanning the entire region, showing significance with any marker in either population sample. The haplotype that included this SNP combination was significantly associated in AAs (global, P=.003), EAs (global, P=.02), and the combined sample of families (global, P=.001). The specific haplotype T-T-A was associated with CIP in EAs (P=.01) and AAs (P=.02), and in the pooled sample (P<.001). Haplotype C-A-C was associated with decreased risk of CIP in EAs (P=.01) and AAs (P<.001), and in the total sample (P<.001). These 2 haplotypes account for 86% and 73% of all haplotypes in the EA and AA families, respectively. A third haplotype (C-T-A), which had appreciable frequency in both EAs (6%) and AAs (23%), was also associated with increased risk of CIP. Because both rs9400554 alleles were part of different risk haplotypes, the functional variant is more likely to be closer to the other 2 SNPs. Thus, these results, showing strong evidence for association of the same haplotype to CIP in 2 distinct populations, support the existence of a single causative variant that is most likely located in the MANEA promoter or coding region.

Locations and linkage disequilibrium map structure of single-nucleotide polymorphisms in the MANEA gene region. Measures of linkage disequilibrium among all possible pairs of single-nucleotide polymorphisms (identified by marker number) are shown (white ...


We evaluated the panel of MANEA SNPs in the EA and AA case-control samples in an attempt to replicate the overall association with cocaine-related traits, to determine whether or not the association is specific to CIP, and to localize the putative biological variant. In the AA replication sample, significant association at the allelic and/or genotypic level was observed between CIP and 5 markers (Table 4). These SNPs and a sixth marker were also associated with CD in the absence of CIP. The strongest and most consistent evidence for association was observed with adjacent markers rs9387522 and rs9387605. In the EA replication sample, the only significant association was found for rs4388292 with CIP, which is accounted for primarily by an underrepresentation of the TT genotype in CIP cases compared with controls. The TT genotype is interestingly also significantly lower in individuals with CD compared with controls in the AA replication sample. Although the results of analyses of individual SNPs did not show an association common to both population groups, haplotype analysis of rs900554 and rs9387522 (ie, 2 of the 3 SNPs included in the haplotype studies in the families) showed that the C-A haplotype was significantly associated with increased risk of CIP and CD in EAs and that the T-A haplotype was significantly associated with CD in AAs (Table 5). The rare T-C haplotype was also associated with increased risk of CD in EAs. Of note, when considering results from both the single SNP and haplotype analyses in the replication samples, the rs9387522 A allele is associated with CIP in all 4 data sets.

Table 4
Association of MANEA SNPs With CIP and CD in Replication Samples
Table 5
Haplotype Association of MANEA With Cocaine-Induced Paranoia in the Replication Samples


We observed that several polymorphic markers in the MANEA gene region are associated with cocaine-related traits in 2 EA and 2 AA populations, which were ascertained and analyzed in different ways. The strongest evidence was obtained for CIP with markers in the MANEA coding and promoter regions, spanning a distance of approximately 33.6 kb (ie, between rs9320497 and rs9387522). Haplotype analysis in the replication data sets helped confirm that the rs9387522 A allele is associated with increased risk of CIP in all 4 populations. This SNP is only 348 bp from rs1133503, the marker in the low-density genome scan that showed an association with CIP in the EA and AA family-based samples,24 which prompted this investigation. Our comprehensive analysis of MANEA SNPs and haplotypes in 4 independent data sets bolsters our initial association finding and indicates that the biologically relevant variant is most likely located in the 3′ UTR.

The results for association of MANEA with CD were substantially weaker in the discovery (family-based) data sets. However, these samples were ascertained through sibling pairs with CD or opioid dependence. They are, thus, much less informative for association analyses of these traits compared with those with CIP, because, in the absence of data from parents, the family-based approach requires at least 1 discordant sibling pair. To determine whether the association with MANEA is specific to the paranoia that often complicates CD, we compared MANEA SNPs and haplotypes in controls with distinct samples of subjects with CD (but no paranoia) and subjects with CIP. In the AA group, CD and CIP were significantly and comparably associated with several SNPs. Both traits showed identical patterns of association with a particular haplotype in the EA group. Thus, our study suggests that MANEA is associated with both CD and paranoia. It is also possible that MANEA is more strongly associated with CIP than CD because CIP is characteristic of a genetic subgroup of CD that is influenced by MANEA. Additional studies in independent samples of subjects with CD characterized for paranoia, and perhaps in subjects with other disorders involving paranoia, are necessary to determine more definitively whether the association with MANEA is specific for the subset of persons with CD prone to CIP.

α-Endomannosidase (MANEA), encoded by the MANEA gene on chromosome 6q16.1, is an enzyme that catalyzes the release of glucosyl-mannose oligosaccha-rides by cleaving the α-1,2-mannosidic bond that links them to high-mannose N-glycans.35 Comparative genomic analysis has demonstrated high-sequence conservation in humans, rats, and mice.36 Human MANEA is expressed in a variety of tissues including brain, though levels of MANEA in the brain are much lower than, for example, in the liver or kidney.36 The role of MANEA is poorly understood but has been hypothesized to be involved in the quality control of N-glycosylation,37 providing cells with the ability to recover and properly mature glucosylated structures that have bypassed glucosidase trimming by glucosidases I and II in the endoplasmic reticulum.36

Given MANEA's role in carbohydrate metabolism and its relatively minor expression in brain, initially it would not appear to be a good biological candidate to modulate susceptibility to CD or its associated psychotic complications. However, insight into the relationship between MANEA, paranoia, and CD can be gleaned from studies of mannosidase and other glycoproteins. α-Mannosidosis in humans is a rare autosomal recessive lysosomal storage disorder associated with decreased activity of mannosidase. Recently, α-mannosidosis was identified as the underlying cause of recurrent paranoid hallucinatory episodes in a 27-year-old woman.38 α-Endomannosidase is 1 of several glycosidic enzymes that remove oligosaccharide chains of dopamine β-hydroxylase,39 the enzyme that converts dopamine to norepinephrine. Low levels of β-hydroxylase in plasma or cerebrospinal fluid and polymorphisms in β-hydroxylase have been associated with greater vulnerability to psychotic symptoms in several psychiatric disorders including CD,23,40 schizophrenia,41 and major depression.42 α-Endomannosidase may also influence susceptibility to CD by modifying the function of liver carboxylesterase, a glycoprotein of the high mannose type,43 2 forms of which hydrolyze cocaine and other drugs.44,45

There are 44 markers in MANEA with appreciable frequency in 1 or more populations (, but none are known to effect structural changes in the translated protein. Remarkably, 34 of these SNPs have minor allele frequencies of 0.24 or greater in both EAs and AAs. This excess of high-frequency polymorphisms suggests that balancing selection is occurring in this region.46 The most robust evidence for association in the collective data sets in this study was obtained with rs9387522, which is located in the 3′ UTR. The 3′ UTR is the major site of gene regulation by microRNA binding.47 Polymorphic target sites for microRNA binding in the 3′ UTRs of SLITRK1, FGF20, and HTR1B have been identified as leading to increased risk of Tourette syndrome,48 Parkinson disease,49 and aggressive human behaviors,50 respectively. The possibility that MANEA 3′ UTR SNPs, including rs987522, may influence risk of CD or CIP could be investigated by microRNA studies in brains of rodents exposed to cocaine or constructs transfected into cell lines to demonstrate effects on gene expression.

We acknowledge several limitations to our study. First, our discovery sample, which was ascertained through sibling pairs concordant for CD or opioid dependence, is probably enriched for genetic factors for CD and CIP compared with subjects exposed to cocaine in the general population. To overcome this issue and the problem that association findings in discovery samples tend to overestimate the effect size of the genetic risk factor,51 we replicated our results in independent EA and AA case-control samples. Although results with individual SNPs were uneven across study samples, haplotype analysis showed significant association with the same allele of 1 SNP (SNP 9, rs9387522) in both EA and both AA data sets. Second, genetic association studies are vulnerable to false-positive results owing to population stratification and to false-negative results owing to misclassification of subjects or power. Our use of family-based controls in the discovery phase and the assignment of nearly all subjects to genetically matched groups based on analysis of many markers distributed across the genome lessened the potential for stratification. Furthermore, all of the approximately 4000 subjects included in this study were evaluated with a standardized instrument using a rigorous quality-control procedure that reliably diagnoses substance dependence and other psychiatric disorders.21,26 In any event, it is possible that some subjects were misclassified as controls because they were not sufficiently exposed to cocaine to become dependent on the drug. This, however, would bias the results toward the null hypothesis. Because our replication samples had sufficient power to detect allele frequency differences of 7% to 10% for CIP and 8% to 15% for CD in either population, lack of significant findings with individual SNPs in the EA sample could be attributed to an inadequate sample size. However, significant haplotypic associations in this population suggest that genetic background rather than sample size was the limiting factor. Third, only one of the results from analyses of individual SNPs in the replication samples would be considered significant after adjustment for multiple comparisons using a conservative Bonferroni correction (threshold, P=.004 in EAs and P=.006 in AAs without taking intermarker correlations into account). An alternative approach to evaluating the impact of multiple testing on our results is measuring the rate of false discovery. Because the expected number of findings for a trait that surpass a nominal significance level of P=.05 in the AA sample would be less than 1 (0.05 × 9 informative SNPs × 0.5), assuming a 1-tailed test (and there were at least 3 significantly associated SNPs for each trait, taking into account the high correlation among SNPs 5 through 9 in AAs [Figure]), it is unlikely that our findings for CD and CIP in the AA replication sample are spurious. The significant global tests of association of MANEA haplotypes with CD and CIP in the EA replication sample take into account the comparisons of multiple haplo-types. In summary, our study shows that MANEA gene variants are strongly associated with CD and CIP in both EA and AA populations. This finding, which was discovered initially through a low-density genome scan, suggests that drug dependence and associated behaviors may involve biological pathways not typically associated with brain metabolism and opens a new pathway to understanding these highly prevalent disorders and their psychopathologic manifestations.


Funding/Support: This work was supported by grants R01 DA12690, R01 DA12849, K24 DA15105, K24 DA022288, R01 AA11330, K24 AA13736, K05 AA017435, and M01 RR06192 from the National Institutes of Health. Some genotyping services were provided by the Center for Inherited Disease Research, which is fully funded through a contract from the National Institutes of Health to The Johns Hopkins University (N01-HG65403).


Financial Disclosure: None reported.


1. The National Survey on Drug Use and Health Report Office of Applied Studies. Substance Abuse and Mental Health Services Administration; Washington, DC: Aug 12, 2005.
2. Cadoret RJ, Troughton E, O'Gorman TW, Heywood E. An adoption study of genetic and environmental factors in drug abuse. Arch Gen Psychiatry. 1986;43(12):1131–1136. [PubMed]
3. Tsuang MT, Lyons MJ, Eisen SA, Goldberg J, True W, Lin N, Meyer JM, Toomey R, Faraone SV, Eaves L. Genetic influences on DSM-III-R drug abuse and dependence: a study of 3,372 twin pairs. Am J Med Genet. 1996;67(5):473–477. [PubMed]
4. Bierut LJ, Dinwiddie SH, Begleiter H, Crowe RR, Hesselbrock V, Nurnberger JI, Jr, Porjesz B, Schuckit MA, Reich T. Familial transmission of substance dependence: alcohol, marijuana, and habitual smoking. Arch Gen Psychiatry. 1998;55(11):982–988. [erratum in Arch Gen Psychiatry. 1998;55(11):964-965] [PubMed]
5. Merikangas KR, Stevens DE, Fenton B, Stolar M, O'Malley S, Woods SW, Risch N. Co-morbidity and familial aggregation of alcoholism and anxiety disorders. Psychol Med. 1998;28(4):773–788. [PubMed]
6. Kendler KS, Jacobson KC, Prescott CA, Neale MC. Specificity of genetic and environmental risk factors for use and abuse/dependence of cannabis, cocaine, hallucinogens, sedatives, stimulants, and opiates in male twins. Am J Psychiatry. 2003;160(4):687–695. [PubMed]
7. Chen ACH, LaForge KS, Ho A, McHugh PF, Kellogg S, Bell K, Schluger RP, Leal SM, Kreek MJ. Potentially functional polymorphism in the promoter region of prodynorphin gene may be associated with protection against cocaine dependence or abuse. Am J Med Genet. 2002;114(4):429–435. [PubMed]
8. Ballon N, Leroy S, Roy C, Bourdel MC, Charles-Nicolas A, Krebs MO, Poirier MF. (AAT)n repeat in the cannabinoid receptor gene (CNR1): association with cocaine addiction in an African-Caribbean population. Pharmacogenomics J. 2006;6(2):126–130. [PubMed]
9. Guindalini C, Howard M, Haddley K, Laranjeira R, Collier D, Ammar N, Craig I, O'Gara C, Bubb VJ, Greenwood T, Kelsoe J, Asherson P, Murray RM, Castelo A, Quinn H, Vallada H, Breen G. A dopamine transporter gene functional variant associated with cocaine abuse in a Brazilian sample. Proc Natl Acad Sci USA. 2006;103(12):4552–4557. [PubMed]
10. Gelernter J, Kranzler H, Satel SL. No association between D2 dopamine receptor (DRD2) alleles or haplotypes and cocaine dependence or severity of cocaine dependence in European- and African-Americans. Biol Psychiatry. 1999;45(3):340–345. [PubMed]
11. Martinez D, Gelernter J, Abi-Dargham A, van Dyck CH, Kegeles L, Innis RB, Laruelle M. The variable number of tandem repeats polymorphism of the dopamine transporter gene is not associated with significant change in dopamine transporter phenotype in humans. Neuropsychopharmacology. 2001;24(5):553–560. [PubMed]
12. Dahl JP, Weller AE, Kampman KM, Oslin DW, Lohoff FW, Ferraro TN, O'Brien CP, Berrettini WH. Confirmation of the association between a polymorphism in the promoter region of the prodynorphin gene and cocaine dependence. Am J Med Genet B Neuropsychiatr Genet. 2005;139B(1):106–108. [PubMed]
13. Williams TJ, LaForge KS, Gordon D, Bart G, Kellogg S, Ott J, Kreek MJ. Prodynorphin gene promoter repeat associated with cocaine/alcohol codependence. Addict Biol. 2007;12(34):496–502. [PubMed]
14. Weiss RD, Mirin SM. Subtypes of cocaine abusers. Psychiatr Clin North Am. 1986;9(3):491–501. [PubMed]
15. Kranzler HR, Wilcox M, Weiss RD, Brady K, Hesselbrock V, Rounsaville B, Farrer L, Gelernter J. The validity of cocaine dependence subtypes. Addict Behav. 2008;33(1):41–53. [PMC free article] [PubMed]
16. Brady KT, Lydiard RB, Malcolm R, Ballenger JC. Cocaine-induced psychosis. J Clin Psychiatry. 1991;52(12):509–512. [PubMed]
17. Satel SL, Southwick SM, Gawin FH. Clinical features of cocaine-induced paranoia. Am J Psychiatry. 1991;148(4):495–498. [PubMed]
18. Cubells JF, Feinn R, Pearson D, Burda J, Tang Y, Farrer LA, Gelernter J, Kranzler HR. Rating the severity and character of transient cocaine-induced delusions and hallucinations with a new instrument, the Scale for Assessment of Positive Symptoms for Cocaine-Induced Psychosis (SAPS-CIP) Drug Alcohol Depend. 2005;80(1):23–33. [PubMed]
19. Lowenstein DH, Massa SM, Rowbotham MC, Collins SD, McKinney HE, Simon RP. Acute neurologic and psychiatric complications associated with cocaine abuse. Am J Med. 1987;83(5):841–846. [PubMed]
20. Miller NS, Gold MS, Mahler JC. Violent behaviors associated with cocaine use: possible pharmacological mechanisms. Int J Addict. 1991;26(10):1077–1088. [PubMed]
21. Gelernter J, Panhuysen C, Weiss R, et al. Genomewide linkage scan for cocaine dependence and related traits: significant linkages for a cocaine-related trait and cocaine-induced paranoia. Am J Med Genet B Neuropsychiatr Genet. 2005;136B(1):45–52. [PubMed]
22. Gelernter J, Kranzler HR, Satel SL, Rao PA. Genetic association between dopamine transporter protein alleles and cocaine-induced paranoia. Neuropsycho-pharmacology. 1994;11(3):195–200. [PubMed]
23. Cubells JF, Kranzler HR, McCance-Katz E, Anderson GM, Malison RT, Price LH, Gelernter J. A haplotype at the DBH locus, associated with low plasma dopamine beta-hydroxylase activity, also associates with cocaine-induced paranoia. Mol Psychiatry. 2000;5(1):56–63. [PubMed]
24. Yu Y, Kranzler HR, Panhuysen C, Weiss RD, Poling J, Farrer LA, Gelernter J. Substance dependence whole genome association study in two distinct American populations. Hum Genet. 2008;123(5):495–506. [PMC free article] [PubMed]
25. Gelernter J, Yu Y, Weiss R, Brady K, Panhuysen C, Yang BZ, Kranzler HR, Farrer L. Haplotype spanning TTC12 and ANKK1, flanked by the DRD2 and NCAM1 loci, is strongly associated to nicotine dependence in two distinct American populations. Hum Mol Genet. 2006;15(24):3498–3507. [PubMed]
26. Pierucci-Lagha A, Gelernter J, Feinn R, Cubells JF, Pearson D, Pollastri A, Farrer L, Kranzler HR. Diagnostic reliability of the Semi-structured Assessment for Drug Dependence and Alcoholism (SSADDA) Drug Alcohol Depend. 2005;80(3):303–312. [PubMed]
27. Shi MM, Myrand SP, Bleavins MR, de la Iglesia FA. High throughput genotyping for the detection of a single nucleotide polymorphism in NAD(P)H quinone oxidoreductase (DT diaphorase) using TaqMan probes. Mol Pathol. 1999;52(5):295–299. [PMC free article] [PubMed]
28. Gelernter J, Panhuysen C, Weiss R, Brady K, Poling J, Krauthammer M, Farrer L, Kranzler HR. Genomewide linkage scan for nicotine dependence: identification of a chromosome 5 risk locus. Biol Psychiatry. 2007;61(1):119–126. [PubMed]
29. O'Connell JR, Weeks DE. PedCheck: a program for identification of genotype incompatibilities in linkage analysis. Am J Hum Genet. 1998;63(1):259–266. [PubMed]
30. Barrett JC, Fry B, Maller J, Daly MJ. Haploview: analysis and visualization of LD and haplotype maps. Bioinformatics. 2005;21(2):263–265. [PubMed]
31. Horvath S, Xu X, Laird NM. The family based association test method: strategies for studying general genotype-phenotype associations. Eur J Hum Genet. 2001;9(4):301–306. [PubMed]
32. Horvath S, Xu X, Lake SL, Silverman EK, Weiss ST, Laird NM. Family-based tests for associating haplotypes with general phenotype data: application to asthma genetics. Genet Epidemiol. 2004;26(1):61–69. [PubMed]
33. Schaid DJ, Rowland CM, Tines DE, Jacobson RM. Score tests for association between traits and haplotypes when linkage phase is ambiguous. Am J Hum Genet. 2002;70(2):425–434. [PubMed]
34. Thorisson GA, Smith AV, Krishnan L, Stein LD. The International HapMap Project Web site. Genome Res. 2005;15(11):1592–1593. [PubMed]
35. Bause E, Burbach M. Purification and enzymatic properties of endo-alpha 1,2-mannosidase from pig liver involved in oligosaccharide processing. Biol Chem. 1996;377(10):639–646. [PubMed]
36. Hamilton SR, Li H, Wischnewski H, Prasad A, Kerley-Hamilton JS, Mitchell T, Walling AJ, Davidson RC, Wildt S, Gerngross TU. Intact α-1,2-endomannosidase is a typical type II membrane protein. Glycobiology. 2005;15(6):615–624. [PubMed]
37. Spiro MJ, Bhoyroo VD, Spiro RG. Molecular cloning and expression of rat liver endo-alpha-mannosidase, an N-linked oligosaccharide processing enzyme. J Biol Chem. 1997;272(46):29356–29363. [PubMed]
38. Seidl U, Giesel FL, Cantz M, Schmidbauer M, Schröder J, Pantel J. Unusual course of alpha-mannosidosis with symptoms of paranoid-hallucinatory psychosis. Nervenarzt. 2005;76(3):335–338. [PubMed]
39. Hamos J, Desai PR, Villafranca JJ. Characterization and kinetic studies of deglycosylated dopamine beta-hydroxylase. FASEB J. 1987;1(2):143–148. [PubMed]
40. Kalayasiri R, Sughondhabirom A, Gueorguieva R, Coric V, Lynch WJ, Lappalainen J, Gelernter J, Cubells JF, Malison RT. Dopamine β-hydroxylase gene (DβH)-1021C→T influences self-reported paranoia during cocaine self-administration. Biol Psychiatry. 2007;61(11):1310–1313. [PubMed]
41. Yamamoto K, Cubells JF, Gelernter J, Benkelfat C, Lalonde P, Bloom D, Lal S, Labelle A, Turecki G, Rouleau GA, Joober R. Dopamine beta-hydroxylase (DBH) gene and schizophrenia phenotypic variability: a genetic association study. Am J Med Genet B Neuropsychiatr Genet. 2003;117B(1):33–38. [PubMed]
42. Wood JG, Joyce PR, Miller AL, Mulder RT, Kennedy MA. A polymorphism in the dopamine beta-hydroxylase gene is associated with “paranoid ideation” in patients with major depression. Biol Psychiatry. 2002;51(5):365–369. [PubMed]
43. Harano T, Miyata T, Lee S, Aoyagi H, Omura T. Biosynthesis and localization of rat liver microsomal carboxyesterase E1. J Biochem. 1988;103(1):149–155. [PubMed]
44. Dean RA, Christian CD, Sample RH, Bosron WF. Human liver cocaine esterases: ethanol-mediated formation of ethylcocaine. FASEB J. 1991;5(12):2735–2739. [PubMed]
45. Pindel EV, Kedishvili NY, Abraham TL, Brzezinski MR, Zhang J, Dean RA, Bosron WF. Purification and cloning of a broad substrate specificity human liver carboxylesterase that catalyzes the hydrolysis of cocaine and heroin. J Biol Chem. 1997;272(23):14769–14775. [PubMed]
46. Tajima F. Statistical method for testing the neutral mutation hypothesis by DNA polymorphism. Genetics. 1989;123(3):585–589. [PubMed]
47. Nelson PT, Wang WX, Rajeev BW. MicroRNAs (miRNAs) in neurodegenerative diseases. Brain Pathol. 2008;18(1):130–138. [PMC free article] [PubMed]
48. Abelson JF, Kwan KY, O'Roak BJ, Baek DY, Stillman AA, Morgan TM, Mathews CA, Pauls DL, Rasin MR, Gunel M, Davis NR, Ercan-Sencicek AG, Guez DH, Spertus JA, Leckman JF, Dure LS, 4th, Kurlan R, Singer HS, Gilbert DL, Farhi A, Louvi A, Lifton RP, Sestan N, State MW. Sequence variants in SLITRK1 are associated with Tourette's syndrome. Science. 2005;310(5746):317–320. [PubMed]
49. Wang G, van der Walt JM, Mayhew G, Li YJ, Züchner S, Scott WK, Martin ER, Vance JM. Variation in the miRNA-433 binding site of FGF20 confers risk for Parkinson disease by overexpression of α-synuclein. Am J Hum Genet. 2008;82(2):283–289. [PubMed]
50. Jensen KP, Covault J, Conner TS, Tennen H, Kranzler HR, Furneaux HM. A common polymorphism in serotonin receptor 1B mRNA moderates regulation by miR-96 and associates with aggressive human behaviors [published online ahead of print February 19, 2008] Mol Psychiatry. doi:10.1038/mp.2008.15. [PMC free article] [PubMed]
51. NCI-NHGRI Working Group on Replication in Association Studies. Chanock SJ, Manolio T, Boehnke M, Boerwinkle E, Hunter DJ, Thomas G, Hirschhorn JN, Abecasis G, Altshuler D, Bailey , Wilson JE, Brooks LD, Cardon LR, Daly M, Donnelly P, Fraumeni JF, Jr, Freimer NB, Gerhard DS, Gunter C, Guttmacher AE, Guyer MS, Harris EL, Hoh J, Hoover R, Kong CA, Merikangas KR, Morton CC, Palmer LJ, Phimister EG, Rice JP, Roberts J, Rotimi C, Tucker MA, Vogan KJ, Wacholder S, Wijsman EM, Winn DM, Collins FS. Replicating genotype-phenotype associations. Nature. 2007;447(7145):655–660. [PubMed]