Genome-wide association study of cocaine dependence and related traits: FAM53B identified as a risk gene.
paper
Primary
Public
- Authors
- Gelernter, J; Sherva, R; Koesterer, R; Almasy, L; Zhao, H; Kranzler, H R; Farrer, L
- Year
- 2014
- Journal
- Molecular psychiatry
- PMID
- 23958962
- DOI
- 10.1038/mp.2013.99
- PMCID
- PMC3865158
We report a genome-wide association study (GWAS) for cocaine dependence (CD) in three sets of African- and European-American subjects (AAs and EAs, respectively) to identify pathways, genes and alleles important in CD risk. The discovery GWAS data set (n=5697 subjects) was genotyped using the Illumina OmniQuad microarray (8β90β000 analyzed single-nucleotide polymorphisms (SNPs)). Additional genotypes were imputed based on the 1000 Genomes reference panel. Top-ranked findings were evaluated by incorporating information from publicly available GWAS data from 4063 subjects. Then, the most significant GWAS SNPs were genotyped in 2549 independent subjects. We observed one genome-wide-significant (GWS) result: rs2629540 at the FAM53B ('family with sequence similarity 53, member B') locus. This was supported in both AAs and EAs; P-value (meta-analysis of all samples)=4.28 Γ 10(-8). The gene maps to the same chromosomal region as the maximum peak we observed in a previous linkage study. NCOR2 (nuclear receptor corepressor 2) SNP rs150954431 was associated with P=1.19 Γ 10(-9) in the EA discovery sample. SNP rs2456778, which maps to CDK1 ('cyclin-dependent kinase 1'), was associated with cocaine-induced paranoia in AAs in the discovery sample only (P=4.68 Γ 10(-8)). This is the first study to identify risk variants for CD using GWAS. Our results implicate novel risk loci and provide insights into potential therapeutic and prevention strategies.
Regional Manhattan plot for FAM53B, showing the meta-analysis P-value from EAs and AAs in the discovery and SAGE, as well as a single point for the phase 1β3 meta-analysis result (the highest purple dot on the graph). Since the result is driven primarily by AAs, the LD heat map is based on AAs also. Imputed SNPs are shown as circles, and genotyped SNPs as squares.
Manhattan plot, CD case/control analysis, EA population (discovery sample)
Q/Q plot for same. Other Q/Q plots similarly showed negligible inflation.
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| Name | Type |
|---|---|
| 1000 Genomes Project | cohort |
| AA | cohort |
| AA case-control local | cohort |
| AA discovery sample local | cohort |
| AA Sympcountadj local | cohort |
| African American | cohort |
| African American Hispanic local | cohort |
| alcohol | phenotype |
| alcohol dependence | phenotype |
| Alzheimer's disease | phenotype |
| ATP2B2 local | gene |
| ATP2C2 | gene |
| Ca2+ | drug |
| Calm1 | gene |
| cannabis dependence | phenotype |
| cannabis use | phenotype |
| Case-control local | phenotype |
| Case-control results local | phenotype |
| CD | phenotype |
| CDK1 local | gene |
| CD symptom count local | phenotype |
| CEU | cohort |
| CHB | cohort |
| CIP | phenotype |
| CIP trait local | phenotype |
| cocaine | phenotype |
| cocaine-induced paranoia | phenotype |
| Cocaine-related effects local | phenotype |
| COGEND | cohort |
| Collaborative Study on the Genetics of Alcoholism (COGA) | cohort |
| combined cohort | cohort |
| complex traits | phenotype |
| conduct disorder | phenotype |
| Discovery+SAGE meta-analysis local | cohort |
| discovery sample | cohort |
| EA-AA meta-analysis local | cohort |
| EA discovery sample local | cohort |
| EAs | cohort |
| EA Sympcountadj local | cohort |
| European American Hispanic local | cohort |
| European ancestry | cohort |
| European population | cohort |
| Exposed controls local | cohort |
| FAM53B | gene |
| Family study of cocaine dependence | cohort |
| GWAS | cohort |
| HapMap 3 reference local | cohort |
| illicit drug dependence | phenotype |
| Illumina GoldenGate Genotyping Universal-32 local | drug |
| Illumina Human1M array | drug |
| Illumina HumanOmni1-Quad v1.0 microarray | drug |
| Impute2 | drug |
| Ingenuity Pathway Analysis local | drug |
| KCNN2 local | gene |
| KCNQ4 local | gene |
| KCNT2 | gene |
| Locus_1 local | variant |
| methamphetamine response local | phenotype |
| NCOR1 local | gene |
| NCOR2 local | gene |
| NCS1 | gene |
| nicotine dependence | phenotype |
| OD | phenotype |
| olfaction | phenotype |
| opioid | drug |
| opioid dependence | phenotype |
| opioid sensitivity | phenotype |
| OR3A1 local | gene |
| OR3A2 local | gene |
| Phase 1 | cohort |
| Phase 1 dataset local | cohort |
| Phase 1 discovery sample local | cohort |
| Phase 2 | cohort |
| Phase 2 dataset local | cohort |
| Phase 3 dataset local | cohort |
| Phase 3 EA sample local | cohort |
| Phase 3 replication sample local | cohort |
| population | cohort |
| population group local | cohort |
| Public domain GWASed samples local | cohort |
| RANP6 local | gene |
| replication sample | cohort |
| rs11944332 local | variant |
| rs150954431 local | variant |
| rs1757939 local | variant |
| rs2005290 local | variant |
| rs2456778 local | variant |
| rs2629540 local | variant |
| rs4129566 local | variant |
| rs6677435 local | variant |
| rs72840936 local | variant |
| SAGE | cohort |
| SAGE dataset | cohort |
| SAGE project local | cohort |
| SAGE samples local | cohort |
| SCLT1 local | gene |
| SD | phenotype |
| small nuclear families (SNFs) local | cohort |
| Snap25 | gene |
| SNP | cohort |
| SSADDA-assessed GWAS sample local | cohort |
| SSADDA-assessed replication sample local | cohort |
| stimulant dependence | phenotype |
| Study of Addiction: Genetics and Environment | cohort |
| substance use | phenotype |
| Sympcountadj local | phenotype |
| symptom count | phenotype |
| TaqMan method local | drug |
| unrelated individuals | cohort |
| YRI | cohort |
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| Title | Authors | Journal | Year | Link |
|---|---|---|---|---|
| New Evidence of The Reliability of The <i>Scale for The Assessment of Positive Symptoms of Cocaine Induced Psychosis</i> (SAPS-CIP-R) in a Sample of Cocaine Users Treated at a Therapeutic Community. | GonzΓ‘lez-Saiz F et al. | β | 2026 | β |
| Associations of childhood adversity and substance use disorder polygenic scores with disorder severity and diagnostic criteria. | SooHoo JF et al. | β | 2025 | β |
| Biochemical Diagnosis in Substance and Non-substance Addiction. | Shen W et al. | β | 2025 | β |
| Bitter Sensing Protects <i>Drosophila</i> from Developing Experience-Dependent Cocaine Consumption Preference. | Philyaw TJ et al. | β | 2025 | β |
| Cell type-specific multi-omics analysis of cocaine use disorder in the human caudate nucleus. | Zillich L et al. | β | 2025 | β |
| Clinical, laboratory and genetic factors associated with smoking in a Brazilian Sickle Cell Disease (SCD) cohort. | Cruz T et al. | β | 2025 | β |
| Epigenetic and genetic profiling of comorbidity patterns among substance dependence diagnoses. | Pathak GA et al. | β | 2025 | β |
| Genetic mapping in collaborative cross mouse strains identifies loci that affect initial sensitivity to cocaine. | Schoenrock SA et al. | β | 2025 | β |
| Predicting treatment-seeking status for alcohol use disorder using polygenic scores and machine learning in a deeply-phenotyped sample. | Jinwala Z et al. | β | 2025 | β |
| Alcohol Use Disorder-Associated DNA Methylation in the Nucleus Accumbens and Dorsolateral Prefrontal Cortex. | White JD et al. | β | 2024 | β |
| Application of polygenic scores to a deeply phenotyped sample enriched for substance use disorders reveals extensive pleiotropy with psychiatric and medical traits | Hartwell EE et al. | β | 2024 | β |
| Application of polygenic scores to a deeply phenotyped sample enriched for substance use disorders reveals extensive pleiotropy with psychiatric and somatic traits. | Hartwell EE et al. | β | 2024 | β |
| Association patterns of antisocial personality disorder across substance use disorders. | Low A et al. | β | 2024 | β |
| Generalized genetic liability to substance use disorders. | Miller AP et al. | β | 2024 | β |
| METH exposure alters sperm DNA methylation in F0 mice and mPFC transcriptome in male F1 mice. | Li Z et al. | β | 2024 | β |
| Nicotine Motivated Behavior in <i>C. elegans</i>. | Salim C et al. | β | 2024 | β |
| Smoking-informed methylation and expression QTLs in human brain and colocalization with smoking-associated genetic loci. | Carnes MU et al. | β | 2024 | β |
| Voltage-gated potassium channels control extended access cocaine seeking: a role for nucleus accumbens astrocytes. | Xia M et al. | β | 2024 | β |
| An approach for prioritizing candidate genes from RNA-seq using preclinical cocaine self-administration datasets as a test case. | Vannan A et al. | β | 2023 | β |
| Convergent abnormalities in striatal gene networks in human cocaine use disorder and mouse cocaine administration models. | Mews P et al. | β | 2023 | β |
| Evaluating 17 methods incorporating biological function with GWAS summary statistics to accelerate discovery demonstrates a tradeoff between high sensitivity and high positive predictive value. | Moore A et al. | β | 2023 | β |
| Genetic pathways regulating the longitudinal acquisition of cocaine self-administration in a panel of inbred and recombinant inbred mice. | Khan AH et al. | β | 2023 | β |
| Genotype-by-diagnosis interaction influences self-control in human cocaine addiction. | Graczyk MM et al. | β | 2023 | β |
| Phenome-wide Association Analysis of Substance Use Disorders in a Deeply Phenotyped Sample. | Kember RL et al. | β | 2023 | β |
| Polysubstance addiction patterns among 7,989 individuals with cocaine use disorder. | Stiltner B et al. | β | 2023 | β |
| A Systematic Review of Genetic Polymorphisms Associated with Bipolar Disorder Comorbid to Substance Abuse. | de Marco A et al. | β | 2022 | β |
| Biomarkers of Relapse in Cocaine Use Disorder: A Narrative Review. | Poireau M et al. | β | 2022 | β |
| Cocaine-Induced Locomotor Activation Differs Across Inbred Mouse Substrains. | Gaines CH et al. | β | 2022 | β |
| Common and distinguishing genetic factors for substance use behavior and disorder: an integrated analysis of genomic and transcriptomic studies from both human and animal studies. | Chang XW et al. | β | 2022 | β |
| Extreme phenotypic diversity in operant response to intravenous cocaine or saline infusion in the hybrid mouse diversity panel. | Bagley JR et al. | β | 2022 | β |
| Identifying alcohol misuse biotypes from neural connectivity markers and concurrent genetic associations. | Zhu T et al. | β | 2022 | β |
| Methylation of the serotonin transporter gene moderates the depressive subjective effect of cocaine. | Longtain RB et al. | β | 2022 | β |
| Molecular genetics of cocaine use disorders in humans. | FernΓ ndez-Castillo N et al. | β | 2022 | β |
| The collaborative cross strains and their founders vary widely in cocaine-induced behavioral sensitization. | Schoenrock SA et al. | β | 2022 | β |
| Using Mendelian randomization to explore the gateway hypothesis: possible causal effects of smoking initiation and alcohol consumption on substance use outcomes. | Reed ZE et al. | β | 2022 | β |
| A quantitative trait variant in Gabra2 underlies increased methamphetamine stimulant sensitivity. | Goldberg LR et al. | β | 2021 | β |
| Clinical M2 macrophages-related genes to aid therapy in pancreatic ductal adenocarcinoma. | Xu Q et al. | β | 2021 | β |
| From single flies to many genes: Using <i>Drosophila</i> to explore the genetics of psychostimulant consumption. | Titos I et al. | β | 2021 | β |
| GABAergic polygenic risk for cocaine use disorder is negatively correlated with precuneus activity during cognitive control in African American individuals. | Yang BZ et al. | β | 2021 | β |
| Genetic Basis of Dual Diagnosis: A Review of Genome-Wide Association Studies (GWAS) Focusing on Patients with Mood or Anxiety Disorders and Co-Occurring Alcohol-Use Disorders. | Stoychev K et al. | β | 2021 | β |
| Genetics of substance use disorders in the era of big data. | Gelernter J et al. | β | 2021 | β |
| Genome-wide association study of phenotypes measuring progression from first cocaine or opioid use to dependence reveals novel risk genes. | Sherva R et al. | β | 2021 | β |
| Genomic and Personalized Medicine Approaches for Substance Use Disorders (SUDs) Looking at Genome-Wide Association Studies. | Cozzoli D et al. | β | 2021 | β |
| Preadult polytoxicomania-strong environmental underpinnings and first genetic hints. | Steixner-Kumar AA et al. | β | 2021 | β |
| Spontaneously Hypertensive Rat substrains show differences in model traits for addiction risk and cocaine self-administration: Implications for a novel rat reduced complexity cross. | Kantak KM et al. | β | 2021 | β |
| Validity and utility of Hierarchical Taxonomy of Psychopathology (HiTOP): II. Externalizing superspectrum. | Krueger RF et al. | β | 2021 | β |
| 5' UTR variants in the quantitative trait gene Hnrnph1 support reduced 5' UTR usage and hnRNP H protein as a molecular mechanism underlying reduced methamphetamine sensitivity. | Ruan QT et al. | β | 2020 | β |
| A genome-wide association study of cocaine use disorder accounting for phenotypic heterogeneity and geneβenvironment interaction | Sun J et al. | β | 2020 | β |
| An update on the role of common genetic variation underlying substance use disorders. | Johnson EC et al. | β | 2020 | β |
| Brain scans from 21,297 individuals reveal the genetic architecture of hippocampal subfield volumes. | van der Meer D et al. | β | 2020 | β |
| Cocaine'omics: Genome-wide and transcriptome-wide analyses provide biological insight into cocaine use and dependence. | Huggett SB et al. | β | 2020 | β |
| Convergent functional genomics of cocaine misuse in humans and animal models. | Forero DA et al. | β | 2020 | β |
| Discovery of a Role for <i>Rab3b</i> in Habituation and Cocaine Induced Locomotor Activation in Mice Using Heterogeneous Functional Genomic Analysis. | Bubier JA et al. | β | 2020 | β |
| Genetic Architecture and Molecular Neuropathology of Human Cocaine Addiction. | Huggett SB et al. | β | 2020 | β |
| Heterogeneity and Polygenicity in Psychiatric Disorders: A Genome-Wide Perspective. | Wendt FR et al. | β | 2020 | β |
| Post-GWAS analysis of six substance use traits improves the identification and functional interpretation of genetic risk loci. | Marees AT et al. | β | 2020 | β |
| Potential influence of socioeconomic status on genetic correlations between alcohol consumption measures and mental health. | Marees AT et al. | β | 2020 | β |
| The Genetics of Externalizing Problems. | Barr PB et al. | β | 2020 | β |
| Translational Molecular Approaches in Substance Abuse Research. | Fulton SL et al. | β | 2020 | β |
| A case-control genome wide association study of substance use disorder (SUD) identifies novel variants on chromosome 7p14.1 in patients from the United Arab Emirates (UAE). | Alblooshi H et al. | β | 2019 | β |
| Altered gating of K<sub>v</sub>1.4 in the nucleus accumbens suppresses motivation for reward. | O'Donovan B et al. | β | 2019 | β |
| Apolipoprotein E gene polymorphism, posttraumatic stress disorder, and cognitive function in older U.S. veterans: Results from the National Health and Resilience in Veterans Study. | Averill LA et al. | β | 2019 | β |
| Cell-Type-Specific Regulation of Nucleus Accumbens Synaptic Plasticity and Cocaine Reward Sensitivity by the Circadian Protein, NPAS2. | Parekh PK et al. | β | 2019 | β |
| Discovery of early life stress interacting and sex-specific quantitative trait loci impacting cocaine responsiveness. | Bagley JR et al. | β | 2019 | β |
| Genetic associations with suicide attempt severity and genetic overlap with major depression. | Levey DF et al. | β | 2019 | β |
| Genome-wide association meta-analysis of cocaine dependence: Shared genetics with comorbid conditions. | Cabana-DomΓnguez J et al. | β | 2019 | β |
| Genome-wide association study identifies loci associated with liability to alcohol and drug dependence that is associated with variability in reward-related ventral striatum activity in African- and European-Americans. | Wetherill L et al. | β | 2019 | β |
| Genomewide Study of Epigenetic Biomarkers of Opioid Dependence in European- American Women. | Montalvo-Ortiz JL et al. | β | 2019 | β |
| GWAS and network analysis of co-occurring nicotine and alcohol dependence identifies significantly associated alleles and network. | Xiang B et al. | β | 2019 | β |
| High-Dimensional Data Approaches to Understanding Nuclear Hormone Receptor Signaling. | Campbell MJ | β | 2019 | β |
| Multigenerational and transgenerational effects of paternal exposure to drugs of abuse on behavioral and neural function. | Goldberg LR et al. | β | 2019 | β |
| National Institute on Drug Abuse genomics consortium white paper: Coordinating efforts between human and animal addiction studies. | Cates HM et al. | β | 2019 | β |
| Retrospective Association Analysis of Longitudinal Binary Traits Identifies Important Loci and Pathways in Cocaine Use. | Wu W et al. | β | 2019 | β |
| Targeted, High-Resolution RNA Sequencing of Non-coding Genomic Regions Associated With Neuropsychiatric Functions. | Hardwick SA et al. | β | 2019 | β |
| A genome-wide gene-by-trauma interaction study of alcohol misuse in two independent cohorts identifies PRKG1 as a risk locus. | Polimanti R et al. | β | 2018 | β |
| A tutorial on conducting genome-wide association studies: Quality control and statistical analysis. | Marees AT et al. | β | 2018 | β |
| Common and Rare Genetic Risk Factors Converge in Protein Interaction Networks Underlying Schizophrenia. | Chang X et al. | β | 2018 | β |
| Environmental, genetic and epigenetic contributions to cocaine addiction. | Pierce RC et al. | β | 2018 | β |
| Evaluation of previous substance dependence genome-wide significant findings in a Spanish sample. | Pineda-Cirera L et al. | β | 2018 | β |
| Genetic correlations among psychiatric and immune-related phenotypes based on genome-wide association data. | Tylee DS et al. | β | 2018 | β |
| Genome-wide association meta-analysis of age at first cannabis use. | MinicΔ CC et al. | β | 2018 | β |
| Human Genetics of Addiction: New Insights and Future Directions. | Hancock DB et al. | β | 2018 | β |
| Inferring phenotypes from substance use via collaborative matrix completion. | Lu J et al. | β | 2018 | β |
| Risk Locus Identification Ties Alcohol Withdrawal Symptoms to SORCS2. | Smith AH et al. | β | 2018 | β |
| Translational studies support a role for serotonin 2B receptor (HTR2B) gene in aggression-related cannabis response. | Montalvo-Ortiz JL et al. | β | 2018 | β |
| Whole genome sequence study of cannabis dependence in two independent cohorts. | Gizer IR et al. | β | 2018 | β |
| Ancestry-specific and sex-specific risk alleles identified in a genome-wide gene-by-alcohol dependence interaction study of risky sexual behaviors. | Polimanti R et al. | β | 2017 | β |
| A protocadherin gene cluster regulatory variant is associated with nicotine withdrawal and the urge to smoke. | Jensen KP et al. | β | 2017 | β |
| Association of the PLCB1 gene with drug dependence. | Cabana-DomΓnguez J et al. | β | 2017 | β |
| Biochemical Diagnosis in Substance and Non-substance Addiction. | Shen W et al. | β | 2017 | β |
| Genetic moderation of cocaine subjective effects by variation in the TPH1, TPH2, and SLC6A4 serotonin genes. | Patriquin MA et al. | β | 2017 | β |
| Genome-wide association study of therapeutic opioid dosing identifies a novel locus upstream of OPRM1. | Smith AH et al. | β | 2017 | β |
| <i>S100A10</i> identified in a genome-wide gene Γ cannabis dependence interaction analysis of risky sexual behaviours. | Polimanti R et al. | β | 2017 | β |
| Polygenic Scores for Major Depressive Disorder and Risk of Alcohol Dependence. | Andersen AM et al. | β | 2017 | β |
| Reading LINEs within the cocaine addicted brain. | Doyle GA et al. | β | 2017 | β |
| Systems Genetic Analysis in GeneNetwork.org. | Parker CC et al. | β | 2017 | β |
| The genetic epidemiology of substance use disorder: A review. | Prom-Wormley EC et al. | β | 2017 | β |
| The Interplay Between Risky Sexual Behaviors and Alcohol Dependence: Genome-Wide Association and Neuroimaging Support for LHPP as a Risk Gene. | Polimanti R et al. | β | 2017 | β |
| A Review of Genome-Wide Association Studies of Stimulant and Opioid Use Disorders. | Jensen KP | β | 2016 | β |
| Association of the OPRM1 Variant rs1799971 (A118G) with Non-Specific Liability to Substance Dependence in a Collaborative de novo Meta-Analysis of European-Ancestry Cohorts. | Schwantes-An TH et al. | β | 2016 | β |
| Cyclin-Dependent Kinase Inhibitor 1a (p21) Modulates Response to Cocaine and Motivated Behaviors. | Scholpa NE et al. | β | 2016 | β |
| DNA co-methylation modules in postmortem prefrontal cortex tissues of European Australians with alcohol use disorders. | Wang F et al. | β | 2016 | β |
| Dopamine pathway gene variants may modulate cognitive performance in the DHS - Mind Study. | Martelle SE et al. | β | 2016 | β |
| Evidence of CNIH3 involvement in opioid dependence. | Nelson EC et al. | β | 2016 | β |
| Genome-wide Association Study of Cannabis Dependence Severity, Novel Risk Variants, and Shared Genetic Risks. | Sherva R et al. | β | 2016 | β |
| Genome-wide association study of lifetime cannabis use based on a large meta-analytic sample of 32 330 subjects from the International Cannabis Consortium. | Stringer S et al. | β | 2016 | β |
| KAT2B polymorphism identified for drug abuse in African Americans with regulatory links to drug abuse pathways in human prefrontal cortex. | Johnson EO et al. | β | 2016 | β |
| Summaries of plenary, symposia, and oral sessions at the XXII World Congress of Psychiatric Genetics, Copenhagen, Denmark, 12-16 October 2014. | Aas M et al. | β | 2016 | β |
| Systems genetics of intravenous cocaine self-administration in the BXD recombinant inbred mouse panel. | Dickson PE et al. | β | 2016 | β |
| [A genetic view of addiction]. | Ramoz N et al. | β | 2015 | β |
| Alcohol Dependence Genetics: Lessons Learned From Genome-Wide Association Studies (GWAS) and Post-GWAS Analyses. | Hart AB et al. | β | 2015 | β |
| An Effective Method to Identify Heritable Components from Multivariate Phenotypes. | Sun J et al. | β | 2015 | β |
| Common single nucleotide variants underlying drug addiction: more than a decade of research. | BΓΌhler KM et al. | β | 2015 | β |
| Dissecting ancestry genomic background in substance dependence genome-wide association studies. | Polimanti R et al. | β | 2015 | β |
| FKBP5 variation is associated with the acute and chronic effects of nicotine. | Jensen KP et al. | β | 2015 | β |
| Genome-wide association studies in Africans and African Americans: expanding the framework of the genomics of human traits and disease. | Peprah E et al. | β | 2015 | β |
| Genomewide Association Study for Maximum Number of Alcoholic Drinks in European Americans and African Americans. | Xu K et al. | β | 2015 | β |
| Genome-Wide Association Study of Behavioral Disinhibition in a Selected Adolescent Sample. | Derringer J et al. | β | 2015 | β |
| Genome-wide association study of copy number variations (CNVs) with opioid dependence. | Li D et al. | β | 2015 | β |
| Genome-wide association study of nicotine dependence in American populations: identification of novel risk loci in both African-Americans and European-Americans. | Gelernter J et al. | β | 2015 | β |
| Genome-wide meta-analysis reveals common splice site acceptor variant in CHRNA4 associated with nicotine dependence. | Hancock DB et al. | β | 2015 | β |
| Multivariate analysis of subjective responses to d-amphetamine in healthy volunteers finds novel genetic pathway associations. | Yarosh HL et al. | β | 2015 | β |
| Nf1 regulates alcohol dependence-associated excessive drinking and gamma-aminobutyric acid release in the central amygdala in mice and is associated with alcohol dependence in humans. | Repunte-Canonigo V et al. | β | 2015 | β |
| Overlapping dopaminergic pathway genetic susceptibility to heroin and cocaine addictions in African Americans. | Levran O et al. | β | 2015 | β |
| Refining multivariate disease phenotypes for high chip heritability. | Sun J et al. | β | 2015 | β |
| Transcriptomic and genetic studies identify NFAT5 as a candidate gene for cocaine dependence. | FernΓ ndez-Castillo N et al. | β | 2015 | β |
| XRCC5 as a risk gene for alcohol dependence: evidence from a genome-wide gene-set-based analysis and follow-up studies in Drosophila and humans. | Juraeva D et al. | β | 2015 | β |
| An international perspective and review of cocaine-induced psychosis: a call to action. | Roncero C et al. | β | 2014 | β |
| Association of gamma-aminobutyric acid A receptor Ξ±2 gene (GABRA2) with alcohol use disorder. | Li D et al. | β | 2014 | β |
| Genetic risk prediction and neurobiological understanding of alcoholism. | Levey DF et al. | β | 2014 | β |
| Genome-wide association study of alcohol dependence:significant findings in African- and European-Americans including novel risk loci. | Gelernter J et al. | β | 2014 | β |
| Genome-wide association study of opioid dependence: multiple associations mapped to calcium and potassium pathways. | Gelernter J et al. | β | 2014 | β |
| The effects of a MAP2K5 microRNA target site SNP on risk for anxiety and depressive disorders. | Jensen KP et al. | β | 2014 | β |
| The Genetics, Neurogenetics and Pharmacogenetics of Addiction. | Demers CH et al. | β | 2014 | β |
| The Ξ±-endomannosidase gene (MANEA) is associated with panic disorder and social anxiety disorder. | Jensen KP et al. | β | 2014 | β |
| Variants near CHRNB3-CHRNA6 are associated with DSM-5 cocaine use disorder: evidence for pleiotropy. | Sadler B et al. | β | 2014 | β |
| Convergent functional genomics in addiction research - a translational approach to study candidate genes and gene networks. | Spanagel R | β | 2013 | β |
| Integrating GWASs and human protein interaction networks identifies a gene subnetwork underlying alcohol dependence. | Han S et al. | β | 2013 | β |