Genetics of substance use disorders in the era of big data

[1]  P. Visscher,et al.  Genome-wide analyses of behavioural traits are subject to bias by misreports and longitudinal changes , 2021, Nature communications.

[2]  Elizabeth G. Atkinson,et al.  Characterizing the effect of background selection on the polygenicity of brain-related traits. , 2020, Genomics.

[3]  Ryan W. Kim,et al.  Rare Non-coding Variation Identified by Large Scale Whole Genome Sequencing Reveals Unexplained Heritability of Type 2 Diabetes: Trans-Omics for Precision Medicine (TOPMed) Program , 2020, medRxiv.

[4]  John P. Rice,et al.  A large-scale genome-wide association study meta-analysis of cannabis use disorder , 2020, The lancet. Psychiatry.

[5]  Ning Sun,et al.  Genome-wide association study of smoking trajectory and meta-analysis of smoking status in 842,000 individuals , 2020, Nature Communications.

[6]  B. Neale,et al.  Ancestry may confound genetic machine learning: Candidate-gene prediction of opioid use disorder as an example. , 2021, Drug and alcohol dependence.

[7]  G. Breen,et al.  Evaluation of polygenic prediction methodology within a reference-standardized framework , 2020, bioRxiv.

[8]  L. Farrer,et al.  Association of OPRM1 Functional Coding Variant With Opioid Use Disorder: A Genome-Wide Association Study. , 2020, JAMA psychiatry.

[9]  A. McQuillin,et al.  Genome-wide meta-analysis of problematic alcohol use in 435,563 individuals yields insights into biology and relationships with other traits , 2020, Nature Neuroscience.

[10]  M. Rietschel,et al.  Acute alcohol withdrawal and recovery in men lead to profound changes in DNA methylation profiles - a longitudinal clinical study. , 2020, Addiction.

[11]  K. Bucholz,et al.  Polygenic contributions to alcohol use and alcohol use disorders across population-based and clinically ascertained samples , 2020, Psychological Medicine.

[12]  Megan U. Carnes,et al.  Expanding the genetic architecture of nicotine dependence and its shared genetics with multiple traits , 2020, Nature Communications.

[13]  Chia-Yen Chen,et al.  Association between polygenic liability for schizophrenia and substance involvement: A nationwide population‐based study in Taiwan , 2020, Genes, brain, and behavior.

[14]  P. Sullivan,et al.  Reproducible Genetic Risk Loci for Anxiety: Results From ∼200,000 Participants in the Million Veteran Program. , 2020, The American journal of psychiatry.

[15]  J. Cook,et al.  Functional validity, role, and implications of heavy alcohol consumption genetic loci , 2020, Science Advances.

[16]  M. Munafo,et al.  Evidence for causal effects of lifetime smoking on risk for depression and schizophrenia: a Mendelian randomisation study , 2019, Psychological Medicine.

[17]  Zachary F. Gerring,et al.  Post-GWAS analysis of six substance use traits improves the identification and functional interpretation of genetic risk loci. , 2019, Drug and alcohol dependence.

[18]  N. Gemmell,et al.  Genome-wide DNA methylation analysis of heavy cannabis exposure in a New Zealand longitudinal cohort , 2019, bioRxiv.

[19]  I. Hickie,et al.  Associations between polygenic risk for tobacco and alcohol use and liability to tobacco and alcohol use, and psychiatric disorders in an independent sample of 13,999 Australian adults. , 2019, Drug and alcohol dependence.

[20]  Jill L. Maron,et al.  Sex-Dependent Gene Expression in Infants with Neonatal Opioid Withdrawal Syndrome. , 2019, The Journal of pediatrics.

[21]  D. Lawlor,et al.  Associations of maternal quitting, reducing, and continuing smoking during pregnancy with longitudinal fetal growth: Findings from Mendelian randomization and parental negative control studies , 2019, PLoS medicine.

[22]  Christopher R. Erbes,et al.  International meta-analysis of PTSD genome-wide association studies identifies sex- and ancestry-specific genetic risk loci , 2019, Nature Communications.

[23]  Suhua Chang,et al.  Genome-wide association study of alcohol dependence in male Han Chinese and cross-ethnic polygenic risk score comparison , 2019, Translational Psychiatry.

[24]  S. Southwick,et al.  Epigenome-wide DNA Methylation Association Analysis Identified Novel Loci in Peripheral Cells for Alcohol Consumption among European American Male Veterans. , 2019, Alcoholism, clinical and experimental research.

[25]  S. Batra,et al.  A systematic review of smoking-related epigenetic alterations , 2019, Archives of Toxicology.

[26]  W. van den Brink,et al.  Smoking and the risk for bipolar disorder: evidence from a bidirectional Mendelian randomisation study , 2019, The British Journal of Psychiatry.

[27]  Sarah M. Hartz,et al.  Leveraging genome-wide data to investigate differences between opioid use vs. opioid dependence in 41,176 individuals from the Psychiatric Genomics Consortium , 2019, bioRxiv.

[28]  S. Larsson,et al.  Associations of Smoking and Alcohol and Coffee Intake with Fracture and Bone Mineral Density: A Mendelian Randomization Study , 2019, Calcified Tissue International.

[29]  Ning Sun,et al.  Genome-wide Association Study of Maximum Habitual Alcohol Intake in >140,000 U.S. European and African American Veterans Yields Novel Risk Loci , 2019, Biological Psychiatry.

[30]  J. Kaprio,et al.  EpiSmokEr: a robust classifier to determine smoking status from DNA methylation data. , 2019, Epigenomics.

[31]  Brendan P. Zietsch,et al.  Large-scale GWAS reveals insights into the genetic architecture of same-sex sexual behavior , 2019, Science.

[32]  P. Sullivan,et al.  Genome-wide association study of post-traumatic stress disorder reexperiencing symptoms in >165,000 US veterans , 2019, Nature Neuroscience.

[33]  Ming D. Li,et al.  Genome-Wide Meta-Analyses of FTND and TTFC Phenotypes. , 2019, Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco.

[34]  Ira M. Hall,et al.  Exome sequencing of Finnish isolates enhances rare-variant association power , 2019, Nature.

[35]  S. Larsson,et al.  Smoking and stroke: A mendelian randomization study , 2019, Annals of neurology.

[36]  M. Munafo,et al.  Mendelian randomisation analysis of the effect of educational attainment and cognitive ability on smoking behaviour , 2019, Nature Communications.

[37]  M. Aschner,et al.  Smoking and DNA methylation: Correlation of methylation with smoking behavior and association with diseases and fetus development following prenatal exposure. , 2019, Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association.

[38]  Alexander I. Young.  Solving the missing heritability problem , 2019, PLoS genetics.

[39]  R. Ophoff,et al.  Liprin alfa 2 gene expression is increased by cannabis use and associated with neuropsychological function , 2019, European Neuropsychopharmacology.

[40]  J. Nurnberger,et al.  The Genetic Relationship Between Alcohol Consumption and Aspects of Problem Drinking in an Ascertained Sample. , 2019, Alcoholism, clinical and experimental research.

[41]  J. Vink,et al.  Systematic Review of Polygenic Gene–Environment Interaction in Tobacco, Alcohol, and Cannabis Use , 2019, Behavior Genetics.

[42]  H. Cates,et al.  National Institute on Drug Abuse genomics consortium white paper: Coordinating efforts between human and animal addiction studies , 2019, Genes, brain, and behavior.

[43]  S. Bojesen,et al.  Smoking and Increased White and Red Blood Cells: A Mendelian Randomization Approach in the Copenhagen General Population Study , 2019, Arteriosclerosis, thrombosis, and vascular biology.

[44]  M. Munafo,et al.  Mendelian randomisation analysis of the effect of educational attainment and cognitive ability on smoking behaviour , 2019, Nature Communications.

[45]  R. Woods,et al.  The epigenetic clock as a predictor of disease and mortality risk: a systematic review and meta-analysis , 2019, Clinical epigenetics.

[46]  P. Tsao,et al.  Genome-wide association study of alcohol consumption and use disorder in 274,424 individuals from multiple populations , 2019, Nature Communications.

[47]  I. Hickie,et al.  Association between polygenic risk for tobacco or alcohol consumption and liability to licit and illicit substance use in young Australian adults. , 2019, Drug and alcohol dependence.

[48]  Ryan D. Hernandez,et al.  Recovery of trait heritability from whole genome sequence data , 2019, bioRxiv.

[49]  J. Gelernter,et al.  Genomewide Study of Epigenetic Biomarkers of Opioid Dependence in European- American Women , 2019, Scientific Reports.

[50]  Patrick F Sullivan,et al.  No Support for Historical Candidate Gene or Candidate Gene-by-Interaction Hypotheses for Major Depression Across Multiple Large Samples. , 2019, The American journal of psychiatry.

[51]  Shizhong Han,et al.  Beyond genome‐wide significance: integrative approaches to the interpretation and extension of GWAS findings for alcohol use disorder , 2019, Addiction biology.

[52]  Scott M. Williams,et al.  The Missing Diversity in Human Genetic Studies , 2019, Cell.

[53]  I. Deary,et al.  Genome-Wide Association Study Meta-Analysis of the Alcohol Use Disorders Identification Test (AUDIT) in Two Population-Based Cohorts. , 2019, The American journal of psychiatry.

[54]  N. Volkow,et al.  Prevention and Treatment of Opioid Misuse and Addiction: A Review , 2019, JAMA psychiatry.

[55]  C. Büchel,et al.  Allele-Specific Methylation of SPDEF: A Novel Moderator of Psychosocial Stress and Substance Abuse. , 2019, The American journal of psychiatry.

[56]  M. Munafo,et al.  Investigating causality between liability to ADHD and substance use, and liability to substance use and ADHD risk, using Mendelian randomization , 2019, bioRxiv.

[57]  G. Koob,et al.  The neurobiology of addiction. , 2003, Journal of neural transmission. Supplementum.

[58]  Jonathan P. Beauchamp,et al.  Genome-wide association analyses of risk tolerance and risky behaviors in over 1 million individuals identify hundreds of loci and shared genetic influences , 2019, Nature Genetics.

[59]  J. Kaprio,et al.  Epigenome-wide association study of serum cotinine in current smokers reveals novel genetically driven loci , 2019, Clinical Epigenetics.

[60]  B. Franke,et al.  Attention-deficit/hyperactivity disorder and lifetime cannabis use: genetic overlap and causality , 2019, Molecular Psychiatry.

[61]  J. Nurnberger,et al.  Exploring the relationship between polygenic risk for cannabis use, peer cannabis use and the longitudinal course of cannabis involvement , 2019, Addiction.

[62]  O. Andreassen,et al.  A global overview of pleiotropy and genetic architecture in complex traits , 2019, Nature Genetics.

[63]  Tellervo Korhonen,et al.  EpiSmokEr: A robust classifier to determine smoking status from DNA methylation data , 2018, bioRxiv.

[64]  M. Munafo,et al.  Maternal smoking during pregnancy and autism: using causal inference methods in a birth cohort study , 2018, Translational Psychiatry.

[65]  J. McClintick,et al.  Alcohol Dehydrogenases, Aldehyde Dehydrogenases, and Alcohol Use Disorders: A Critical Review , 2018, Alcoholism, clinical and experimental research.

[66]  S. Lane,et al.  Anhedonia in cocaine use disorder is associated with inflammatory gene expression , 2018, PloS one.

[67]  Dajiang J. Liu,et al.  Association studies of up to 1.2 million individuals yield new insights into the genetic etiology of tobacco and alcohol use , 2018, Nature Genetics.

[68]  L. Farrer,et al.  Genome-wide Association Study Identifies a Regulatory Variant of RGMA Associated With Opioid Dependence in European Americans , 2018, Biological Psychiatry.

[69]  C. Gieger,et al.  Alcohol consumption is associated with widespread changes in blood DNA methylation: analysis of cross-sectional and longitudinal data , 2018, bioRxiv.

[70]  M. Munafo,et al.  Cigarette smoking and personality: interrogating causality using Mendelian randomisation , 2018, Psychological Medicine.

[71]  P. Donnelly,et al.  The UK Biobank resource with deep phenotyping and genomic data , 2018, Nature.

[72]  N. Patterson,et al.  Extreme Polygenicity of Complex Traits Is Explained by Negative Selection. , 2019, American journal of human genetics.

[73]  Zachary F. Gerring,et al.  Evidence of causal effect of major depression on alcohol dependence: Findings from the Psychiatric Genomics Consortium , 2018, bioRxiv.

[74]  S. Horvath,et al.  DNA methylation age is accelerated in alcohol dependence , 2018, Translational Psychiatry.

[75]  E. Topol,et al.  The personal and clinical utility of polygenic risk scores , 2018, Nature Reviews Genetics.

[76]  Zachary F. Gerring,et al.  GWAS of lifetime cannabis use reveals new risk loci, genetic overlap with psychiatric traits, and a causal effect of schizophrenia liability , 2018, Nature Neuroscience.

[77]  N. Fernàndez-Castillo,et al.  MiR-9, miR-153 and miR-124 are down-regulated by acute exposure to cocaine in a dopaminergic cell model and may contribute to cocaine dependence , 2018, Translational Psychiatry.

[78]  Hongyu Zhao,et al.  Genome‐wide association meta‐analysis of age at first cannabis use , 2018, Addiction.

[79]  J. Gelernter,et al.  Alcohol-responsive genes identified in human iPSC-derived neural cultures , 2018, bioRxiv.

[80]  N. Fernàndez-Castillo,et al.  Genome-wide association meta-analysis of cocaine dependence: Shared genetics with comorbid conditions , 2018, Progress in Neuro-Psychopharmacology and Biological Psychiatry.

[81]  Ran Guo,et al.  Is There Causal Relationship of Smoking and Alcohol Consumption with Bone Mineral Density? A Mendelian Randomization Study , 2018, Calcified Tissue International.

[82]  G. Davey Smith,et al.  Reading Mendelian randomisation studies: a guide, glossary, and checklist for clinicians , 2018, British Medical Journal.

[83]  S. Rosset,et al.  Estimating SNP-Based Heritability and Genetic Correlation in Case-Control Studies Directly and with Summary Statistics. , 2018, American journal of human genetics.

[84]  Brian D. Kiluk,et al.  What defines a clinically meaningful outcome in the treatment of substance use disorders: reductions in direct consequences of drug use or improvement in overall functioning? , 2018, Addiction.

[85]  S. Linnarsson,et al.  Meta-analysis of genome-wide association studies for neuroticism in 449,484 individuals identifies novel genetic loci and pathways , 2018, Nature Genetics.

[86]  P. Tsai,et al.  Smoking induces coordinated DNA methylation and gene expression changes in adipose tissue with consequences for metabolic health , 2018, Clinical Epigenetics.

[87]  T. Yakovleva,et al.  Downregulation of the neuronal opioid gene expression concomitantly with neuronal decline in dorsolateral prefrontal cortex of human alcoholics , 2018, Translational Psychiatry.

[88]  J. Bjørngaard,et al.  The causal role of smoking on the risk of headache. A Mendelian randomization analysis in the HUNT study , 2018, European journal of neurology.

[89]  H. Frieling,et al.  Epigenetic alterations of the POMC promoter in tobacco dependence , 2018, European Neuropsychopharmacology.

[90]  Nora C. Vetter,et al.  Methylation of OPRL1 mediates the effect of psychosocial stress on binge drinking in adolescents , 2018, Journal of child psychology and psychiatry, and allied disciplines.

[91]  G. Davey Smith,et al.  Evaluating the potential role of pleiotropy in Mendelian randomization studies , 2018, Human molecular genetics.

[92]  P. Brennan,et al.  Role of obesity in smoking behaviour: Mendelian randomisation study in UK Biobank , 2018, British Medical Journal.

[93]  J. Gelernter,et al.  Genomewide Association Study of Alcohol Dependence and Related Traits in a Thai Population , 2018, Alcoholism, clinical and experimental research.

[94]  K. Brennand,et al.  THC exposure of human iPSC neurons impacts genes associated with neuropsychiatric disorders , 2018, Translational Psychiatry.

[95]  N. Volkow,et al.  Neuroscience of Addiction: Relevance to Prevention and Treatment. , 2018, The American journal of psychiatry.

[96]  Valeriia Haberland,et al.  The MR-Base platform supports systematic causal inference across the human phenome , 2018, eLife.

[97]  Sarah M. Hartz,et al.  Trans-ancestral GWAS of alcohol dependence reveals common genetic underpinnings with psychiatric disorders , 2018, Nature Neuroscience.

[98]  M. Hashemi,et al.  Elevated levels of DNA methylation at the OPRM1 promoter region in men with opioid use disorder , 2018, The American journal of drug and alcohol abuse.

[99]  M. Munafo,et al.  Is smoking heaviness causally associated with alcohol use? A Mendelian randomization study in four European cohorts , 2018, International journal of epidemiology.

[100]  J. Gelernter,et al.  ADH1B: From alcoholism, natural selection, and cancer to the human phenome , 2018, American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics.

[101]  H. Kranzler,et al.  Examining the effects of alcohol on GABAA receptor mRNA expression and function in neural cultures generated from control and alcohol dependent donor induced pluripotent stem cells. , 2018, Alcohol.

[102]  Jin Choul Chai,et al.  Gene expression signatures after ethanol exposure in differentiating embryoid bodies. , 2018, Toxicology in vitro : an international journal published in association with BIBRA.

[103]  M. Daly,et al.  Genome-wide association study implicates CHRNA2 in cannabis use disorder , 2017, Nature Neuroscience.

[104]  Lindsey M. King,et al.  Evidence of altered brain regulatory gene expression in tobacco-exposed fetuses , 2017, Journal of perinatal medicine.

[105]  R. Tyndale,et al.  Variation in CYP2A6 Activity and Personalized Medicine , 2017, Journal of personalized medicine.

[106]  Matthew C. Keller,et al.  No Evidence That Schizophrenia Candidate Genes Are More Associated With Schizophrenia Than Noncandidate Genes , 2017, Biological Psychiatry.

[107]  M. Sofuoglu,et al.  Cognitive Effects of Nicotine: Recent Progress , 2017, Current neuropharmacology.

[108]  John P. Rice,et al.  Genomewide association study identifies a novel locus for cannabis dependence , 2017, Molecular Psychiatry.

[109]  Erika Check Hayden.  The rise and fall and rise again of 23andMe , 2017, Nature.

[110]  M. Gunter,et al.  Alcohol metabolism and oesophageal cancer: a systematic review of the evidence , 2017, Carcinogenesis.

[111]  R. Spanagel.  Animal models of addiction , 2017, Dialogues in clinical neuroscience.

[112]  D. Hasin.  US Epidemiology of Cannabis Use and Associated Problems , 2017, Neuropsychopharmacology.

[113]  G. Koob,et al.  Methylomic profiling and replication implicates deregulation of PCSK9 in alcohol use disorder , 2017, Molecular Psychiatry.

[114]  M. Munafo,et al.  Heavier smoking increases coffee consumption: findings from a Mendelian randomization analysis , 2017, International journal of epidemiology.

[115]  M. Hesselbrock,et al.  Review: DNA methylation and alcohol use disorders Progress and challenges , 2017, The American journal on addictions.

[116]  Michael C. Neale,et al.  Genome-wide association study across European and African American ancestries identifies a SNP in DNMT3B contributing to nicotine dependence , 2017, Molecular Psychiatry.

[117]  Yang I Li,et al.  An Expanded View of Complex Traits: From Polygenic to Omnigenic , 2017, Cell.

[118]  Y. Bossé,et al.  A Decade of GWAS Results in Lung Cancer , 2017, Cancer Epidemiology, Biomarkers & Prevention.

[119]  M. Daly,et al.  The iPSYCH2012 case–cohort sample: new directions for unravelling genetic and environmental architectures of severe mental disorders , 2017, Molecular Psychiatry.

[120]  L. Le Marchand,et al.  Association of CYP2A6 activity with lung cancer incidence in smokers: The multiethnic cohort study , 2017, PloS one.

[121]  A. Lusis,et al.  Multi-omics approaches to disease , 2017, Genome Biology.

[122]  B. Howard,et al.  Variation in CYP2A6 and nicotine metabolism among two American Indian tribal groups differing in smoking patterns and risk for tobacco-related cancer , 2017, Pharmacogenetics and genomics.

[123]  John P. Rice,et al.  Association Between Substance Use Disorder and Polygenic Liability to Schizophrenia , 2017, Biological Psychiatry.

[124]  J. Gelernter,et al.  Phenome-wide association study for CYP2A6 alleles: rs113288603 is associated with hearing loss symptoms in elderly smokers , 2017, Scientific Reports.

[125]  Elliot A. Stein,et al.  CYP2A6 Genetic Variation Alters Striatal-Cingulate Circuits, Network Hubs, and Executive Processing in Smokers , 2017, Biological Psychiatry.

[126]  A. Agrawal,et al.  Schizophrenia and substance use comorbidity: a genome-wide perspective , 2017, Genome Medicine.

[127]  Yusuke Nakamura,et al.  Overview of BioBank Japan follow-up data in 32 diseases , 2017, Journal of epidemiology.

[128]  H. Hakonarson,et al.  Genome-wide association study of therapeutic opioid dosing identifies a novel locus upstream of OPRM1 , 2017, Molecular Psychiatry.

[129]  M. Munafo,et al.  Investigating causality in associations between smoking initiation and schizophrenia using Mendelian randomization , 2017, Scientific Reports.

[130]  N. Timpson,et al.  AHRR (cg05575921) hypomethylation marks smoking behaviour, morbidity and mortality , 2017, Thorax.

[131]  C. Wahlestedt,et al.  Reprogramming of mPFC transcriptome and function in alcohol dependence , 2017, Genes, brain, and behavior.

[132]  M. Munafo,et al.  Assessing causality in associations between cannabis use and schizophrenia risk: a two-sample Mendelian randomization study , 2016, Psychological Medicine.

[133]  Danny J. Smith,et al.  Cannabis use and risk of schizophrenia: a Mendelian randomization study , 2016, Molecular Psychiatry.

[134]  Chi-Hua Chen,et al.  Genome-wide analyses for personality traits identify six genomic loci and show correlations with psychiatric disorders , 2016, Nature Genetics.

[135]  Marcus R. Munafò,et al.  The CHRNA5–A3–B4 Gene Cluster and Smoking: From Discovery to Therapeutics , 2016, Trends in Neurosciences.

[136]  Stephen Burgess,et al.  Sensitivity Analyses for Robust Causal Inference from Mendelian Randomization Analyses with Multiple Genetic Variants , 2016, Epidemiology.

[137]  R. Marioni,et al.  A DNA methylation biomarker of alcohol consumption , 2016, Molecular Psychiatry.

[138]  D. English,et al.  DNA methylation changes measured in pre‐diagnostic peripheral blood samples are associated with smoking and lung cancer risk , 2016, International journal of cancer.

[139]  R. Marioni,et al.  Epigenetic Signatures of Cigarette Smoking , 2016, Circulation. Cardiovascular genetics.

[140]  A. Price,et al.  Dissecting the genetics of complex traits using summary association statistics , 2016, Nature Reviews Genetics.

[141]  C. Grella,et al.  Technological aids for improving longitudinal research on substance use disorders , 2016, BMC Health Services Research.

[142]  L. C. Bidwell,et al.  An Exploratory Association Study of Alcohol Use Disorder and DNA Methylation. , 2016, Alcoholism, clinical and experimental research.

[143]  C. Turck,et al.  Different cAMP sources are critically involved in G protein–coupled receptor CRHR1 signaling , 2016, The Journal of cell biology.

[144]  J. Rehm,et al.  Alcohol Use Disorders in Primary Health Care: What Do We Know and Where Do We Go? , 2016, Alcohol and alcoholism.

[145]  Qian Wang,et al.  Genome-wide Association Study of Cannabis Dependence Severity, Novel Risk Variants, and Shared Genetic Risks. , 2016, JAMA psychiatry.

[146]  T. Spector,et al.  Genome-wide association study of lifetime cannabis use based on a large meta-analytic sample of 32 330 subjects from the International Cannabis Consortium , 2016, Translational Psychiatry.

[147]  S. Horvath,et al.  Shared molecular neuropathology across major psychiatric disorders parallels polygenic overlap , 2016, Science.

[148]  Mary Brophy,et al.  Million Veteran Program: A mega-biobank to study genetic influences on health and disease. , 2016, Journal of clinical epidemiology.

[149]  E. Chesler,et al.  Systems genetics of intravenous cocaine self-administration in the BXD recombinant inbred mouse panel , 2016, Psychopharmacology.

[150]  N. Volkow,et al.  Neurobiologic Advances from the Brain Disease Model of Addiction. , 2016, The New England journal of medicine.

[151]  C. Prescott,et al.  Genetic Risk for Substance Abuse and Addiction: Family and Twin Studies , 2016 .

[152]  B. Penninx,et al.  Differential gene expression patterns between smokers and non‐smokers: cause or consequence? , 2015, Addiction biology.

[153]  B. Franke,et al.  Transcriptomic and genetic studies identify NFAT5 as a candidate gene for cocaine dependence , 2015, Translational Psychiatry.

[154]  L. Wain,et al.  Novel insights into the genetics of smoking behaviour, lung function, and chronic obstructive pulmonary disease (UK BiLEVE): a genetic association study in UK Biobank , 2015, The Lancet. Respiratory medicine.

[155]  Vladimir I. Vladimirov,et al.  Integrating mRNA and miRNA Weighted Gene Co-Expression Networks with eQTLs in the Nucleus Accumbens of Subjects with Alcohol Dependence , 2015, PloS one.

[156]  T. Lehtimäki,et al.  A Genome-Wide Association Study of a Biomarker of Nicotine Metabolism , 2015, PLoS genetics.

[157]  I. Ibañez-Tallon,et al.  The habenulo-interpeduncular pathway in nicotine aversion and withdrawal , 2015, Neuropharmacology.

[158]  T. Lehtimäki,et al.  Integrative approaches for large-scale transcriptome-wide association studies , 2015, Nature Genetics.

[159]  N. Volkow,et al.  Brain disease model of addiction: why is it so controversial? , 2015, The lancet. Psychiatry.

[160]  Naomi R. Wray,et al.  Evidence of CNIH3 involvement in opioid dependence , 2015, Molecular Psychiatry.

[161]  Kaanan P. Shah,et al.  A gene-based association method for mapping traits using reference transcriptome data , 2015, Nature Genetics.

[162]  Kevin L. Boehme,et al.  Associations between Potentially Modifiable Risk Factors and Alzheimer Disease: A Mendelian Randomization Study , 2015, PLoS medicine.

[163]  J. Kaprio,et al.  Nicotine Metabolite Ratio (3-Hydroxycotinine/Cotinine) in Plasma and Urine by Different Analytical Methods and Laboratories: Implications for Clinical Implementation , 2015, Cancer Epidemiology, Biomarkers & Prevention.

[164]  Joel Gelernter,et al.  A CHRNA5 Smoking Risk Variant Decreases the Aversive Effects of Nicotine in Humans , 2015, Neuropsychopharmacology.

[165]  Joris M. Mooij,et al.  MAGMA: Generalized Gene-Set Analysis of GWAS Data , 2015, PLoS Comput. Biol..

[166]  D. Brunzell,et al.  Nicotinic Receptor Contributions to Smoking: Insights from Human Studies and Animal Models , 2015, Current Addiction Reports.

[167]  T. Trull,et al.  Genetic variation in personality traits explains genetic overlap between borderline personality features and substance use disorders. , 2014, Addiction.

[168]  Angelita Pui-Yee Wong,et al.  Investigating the possible causal association of smoking with depression and anxiety using Mendelian randomisation meta-analysis: the CARTA consortium , 2014, BMJ Open.

[169]  A. Csoka,et al.  Epigenetics across the human lifespan , 2014, Front. Cell Dev. Biol..

[170]  G. Willemsen,et al.  Polygenic risk scores for smoking: predictors for alcohol and cannabis use? , 2014, Addiction.

[171]  Hongyu Zhao,et al.  Genome-Wide Association Study of Opioid Dependence: Multiple Associations Mapped to Calcium and Potassium Pathways , 2014, Biological Psychiatry.

[172]  Hong-Wen Deng,et al.  ALDH2 is associated to alcohol dependence and is the major genetic determinant of “daily maximum drinks” in a GWAS study of an isolated rural chinese sample , 2014, American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics.

[173]  Hongyu Zhao,et al.  Genomewide association study of cocaine dependence and related traits: FAM53B identified as a risk gene , 2013, Molecular Psychiatry.

[174]  R. Collins,et al.  China Kadoorie Biobank of 0.5 million people: survey methods, baseline characteristics and long-term follow-up. , 2011, International journal of epidemiology.

[175]  E. Walker,et al.  Diagnostic and Statistical Manual of Mental Disorders , 2013 .

[176]  T. Wall,et al.  ALDH2 and ADH1B interactions in retrospective reports of low-dose reactions and initial sensitivity to alcohol in Asian American college students. , 2011, Alcoholism, clinical and experimental research.

[177]  William Wheeler,et al.  Multiple Independent Loci at Chromosome 15q25.1 Affect Smoking Quantity: a Meta-Analysis and Comparison with Lung Cancer and COPD , 2010, PLoS genetics.

[178]  D. Oslin,et al.  Variation in Nicotinic Acetylcholine Receptor Genes is Associated with Multiple Substance Dependence Phenotypes , 2010, Neuropsychopharmacology.

[179]  Ming D. Li,et al.  Genome-wide meta-analyses identify multiple loci associated with smoking behavior , 2010, Nature Genetics.

[180]  E. Schei,et al.  Scientific rationality, uncertainty and the governance of human genetics: an interview study with researchers at deCODE genetics , 2006, European Journal of Human Genetics.

[181]  G. Koob,et al.  The Neurobiology of Addiction , 1997, Alcohol health and research world.

[182]  David Goldman,et al.  The genetics of addictions: uncovering the genes , 2005, Nature Reviews Genetics.

[183]  O. Aasland,et al.  Development of the Alcohol Use Disorders Identification Test (AUDIT): WHO Collaborative Project on Early Detection of Persons with Harmful Alcohol Consumption--II. , 1993, Addiction.

[184]  L. Kozlowski,et al.  The Fagerström Test for Nicotine Dependence: a revision of the Fagerström Tolerance Questionnaire. , 1991, British journal of addiction.

[185]  H. Kalant,et al.  Drug policy: striking the right balance. , 1990, Science.

[186]  J. Bi,et al.  A genome-wide association study of cocaine use disorder accounting for phenotypic heterogeneity and gene–environment interaction , 2019, Canadian journal of surgery. Journal canadien de chirurgie.

[187]  Gerome Breen,et al.  Psychiatric Genomics: An Update and an Agenda , 2017, bioRxiv.

[188]  Niki L Dimou,et al.  A Primer in Mendelian Randomization Methodology with a Focus on Utilizing Published Summary Association Data. , 2018, Methods in molecular biology.

[189]  J. A. Dani,et al.  Neuronal Nicotinic Acetylcholine Receptor Structure and Function and Response to Nicotine. , 2015, International review of neurobiology.

[190]  N. Benowitz.  Nicotine addiction. , 2010, The New England journal of medicine.

[191]  E. Albuquerque,et al.  Mammalian nicotinic acetylcholine receptors: from structure to function. , 2009, Physiological reviews.

[192]  Nicholas G Martin,et al.  Cholinergic nicotinic receptor genes implicated in a nicotine dependence association study targeting 348 candidate genes with 3713 SNPs. , 2007, Human molecular genetics.

[193]  Susan E. Luczak,et al.  ALDH2, ADH1B, and ADH1C Genotypes in Asians: A Literature Review , 2007, Alcohol research & health : the journal of the National Institute on Alcohol Abuse and Alcoholism.

[194]  H. Edenberg.  The Genetics of Alcohol Metabolism: Role of Alcohol Dehydrogenase and Aldehyde Dehydrogenase Variants , 2007, Alcohol research & health : the journal of the National Institute on Alcohol Abuse and Alcoholism.

[195]  J. Palca.  Nicotine addiction , 1988, Nature.