Alcohol Dependence Genetics: Lessons Learned From Genome-Wide Association Studies (GWAS) and Post-GWAS Analyses.
- Authors
- Hart, Amy B; Kranzler, Henry R
- Year
- 2015
- Journal
- Alcoholism, clinical and experimental research
- PMID
- 26110981
- DOI
- 10.1111/acer.12792
- PMCID
- PMC4515198
BACKGROUND: Alcohol dependence (AD) is a complex psychiatric disorder and a significant public health problem. Twin and family-based studies have consistently estimated its heritability to be approximately 50%, and many studies have sought to identify specific genetic variants associated with susceptibility to AD. These studies have been primarily linkage or candidate gene based and have been mostly unsuccessful in identifying replicable risk loci. Genome-wide association studies (GWAS) have improved the detection of specific loci associated with complex traits, including AD. However, findings from GWAS explain only a small proportion of phenotypic variance, and alternative methods have been proposed to investigate the associations that do not meet strict genome-wide significance criteria. METHODS: This review summarizes all published AD GWAS and post-GWAS analyses that have sought to exploit GWAS data to identify AD-associated loci. RESULTS: Findings from AD GWAS have been largely inconsistent, with the exception of variants encoding the alcohol-metabolizing enzymes. Analyses of GWAS data that go beyond standard association testing have demonstrated the polygenic nature of AD and the large contribution of common variants to risk, nominating novel genes and pathways for AD susceptibility. CONCLUSIONS: Findings from AD GWAS and post-GWAS analyses have greatly increased our understanding of the genetic etiology of AD. However, it is clear that larger samples will be necessary to detect loci in addition to those that encode alcohol-metabolizing enzymes, which may only be possible through consortium-based efforts. Post-GWAS approaches to studying the genetic influences on AD are increasingly common and could greatly increase our knowledge of both the genetic architecture of AD and the specific genes and pathways that influence risk.
LLM interpretation
This figure is a timeline diagram spanning from 2005 to 2015, illustrating key milestones in genetic research. It lists specific publications and events, such as the first GWAS for age-related macular degeneration (2005) and various Alzheimer's Disease (AD) studies, including meta-analyses, polygenicity demonstrations, and the assembly of research consortiums. Each milestone is linked to a specific year via vertical lines connecting text boxes to a central blue arrow.
| Name | Type |
|---|---|
| 39-gene subnetwork local | gene |
| AA | cohort |
| AD-associated genes local | gene |
| AD case-control phenotype local | phenotype |
| AD case-control status local | phenotype |
| AD criterion factor score local | phenotype |
| addiction | phenotype |
| AD GWAS | cohort |
| ADH1B | gene |
| ADH1C | gene |
| ADH7 | gene |
| AD risk | phenotype |
| African American | cohort |
| African-Americans | cohort |
| African-ancestry populations local | cohort |
| age-related macular degeneration | phenotype |
| AKAP9 local | gene |
| alcohol | phenotype |
| alcohol abuse | phenotype |
| alcohol dependence | phenotype |
| Alcohol-exposed controls local | cohort |
| Alcohol metabolizing enzyme genes local | gene |
| Alcohol Use | phenotype |
| ALDH2 | gene |
| Alzheimer's disease | phenotype |
| Asian | cohort |
| Australian population-based controls local | cohort |
| behavioral disinhibition | phenotype |
| Bierut et al. 2010 GWAS local | cohort |
| bipolar disorder | phenotype |
| body mass index | phenotype |
| CAST | gene |
| causal risk variants local | variant |
| CCD41 local | gene |
| CDH13 | gene |
| Chinese male AD cases local | cohort |
| Chinese male controls local | cohort |
| cocaine | phenotype |
| COGA dataset | cohort |
| COGA discovery local | cohort |
| COGA sample | cohort |
| Collaborative Study on the Genetics of Alcoholism (COGA) | cohort |
| common variants | cohort |
| complex traits | phenotype |
| COMT | gene |
| DBP local | gene |
| discovery sample | cohort |
| disease susceptibility | phenotype |
| Do et al. 2012 study local | cohort |
| DRD2 | gene |
| Drosophila knockdown model local | cohort |
| DSM diagnosis-based phenotype local | phenotype |
| DSM-IV AD criterion count phenotype local | phenotype |
| DSM-IV alcohol dependence | phenotype |
| DSM-IV criterion count phenotype local | phenotype |
| EA | cohort |
| early onset alcohol dependence | phenotype |
| East Asian | cohort |
| Edenberg et al. 2010 GWAS local | cohort |
| ERAP1 | gene |
| ESR1 | gene |
| ethanol consumption | phenotype |
| European-American populations local | cohort |
| European ancestry | cohort |
| European ancestry family members local | cohort |
| European OZALC GWAS sample local | cohort |
| European population | cohort |
| exfoliation glaucoma | phenotype |
| Extended pedigrees enriched for AD local | cohort |
| Flushing response | phenotype |
| Full offspring sample local | cohort |
| full sample | cohort |
| GATA4 | gene |
| German GWAS dataset local | cohort |
| German GWAS sample local | cohort |
| German men cohort (2009) local | cohort |
| German sample | cohort |
| German target sample local | cohort |
| Glutamate receptor | drug |
| GRIK1 | gene |
| GSCAN | cohort |
| GWAS & Sequencing Consortium of Alcohol and Nicotine use | cohort |
| Heath et al. 2011 AD GWAS local | cohort |
| height | phenotype |
| High risk Alcohol Dependence local | phenotype |
| Htr1a | gene |
| HTR1A SNP local | variant |
| Illicit drug phenotypes local | phenotype |
| illicit drug use | phenotype |
| intermediate phenotypes | phenotype |
| ketone bodies | drug |
| KIAA0040 | gene |
| KIAA0040 SNPs local | variant |
| Korean AD cohort local | cohort |
| loci | cohort |
| major psychiatric disorders | phenotype |
| Maximum blood alcohol concentration local | phenotype |
| Maximum drinks consumed in 24-hour period local | phenotype |
| MCTFR | cohort |
| Molecular Genetics of Schizophrenia (MGS2) control sample | cohort |
| multiple sclerosis | phenotype |
| NALCN | gene |
| NALCN SNP local | variant |
| National Epidemiologic Survey on Alcohol and Related Conditions | cohort |
| nicotine | drug |
| nicotine dependence | phenotype |
| nicotine use | phenotype |
| NIMH Research Domain Criteria (RDoC) Project local | cohort |
| non-European ancestry | cohort |
| opioid | drug |
| opioid dependence | phenotype |
| OPRM1 | cohort |
| PECR | gene |
| PGC Addictions group local | cohort |
| PGC dataset | cohort |
| phenotypic variance | phenotype |
| PIGG local | gene |
| PITRM1 local | gene |
| PPP2R2B | gene |
| Psychiatric Genomics Consortium | cohort |
| quantitative AD factor score local | phenotype |
| quantitative heaviness of drinking factor score local | phenotype |
| rare variant | cohort |
| rheumatoid arthritis | phenotype |
| rs10516441 local | variant |
| rs1229984 | variant |
| rs13160562 | variant |
| rs1442492 local | variant |
| rs1693482 | variant |
| rs1789891 | variant |
| rs2066702 | variant |
| rs3782886 | variant |
| rs671 | variant |
| rs828701 local | variant |
| SAGE | cohort |
| SAGE dataset | cohort |
| SAGE EA | cohort |
| SAGE_EA local | cohort |
| SAGE target samples local | cohort |
| samples | cohort |
| schizophrenia | phenotype |
| SERINC2 | gene |
| SERINC2 SNPs | variant |
| SNP | cohort |
| SNP heritability signal local | phenotype |
| Study of Addiction: Genetics and Environment (SAGE) sample local | cohort |
| Subsample of twins local | cohort |
| substance abuse | phenotype |
| topiramate | drug |
| top SNPs | cohort |
| Treuitlen et al. 2009 sample local | cohort |
| Treutlein et al. 2009 GWAS | cohort |
| type 2 diabetes | phenotype |
| United States alcohol abuse and dependence samples local | cohort |
| Unrelated offspring sample local | cohort |
| Unrelated parent sample local | cohort |
| XRCC5 | gene |
| Yale-Penn | cohort |
| Yale-Penn sample | cohort |
| Yang et al. 2014 study local | cohort |
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In this knowledge base
External
| Title | Authors | Journal | Year | Link |
|---|---|---|---|---|
| Central amygdala single-nucleus atlas reveals chromatin and gene transcription dynamics in human alcohol use disorder. | Lee CY et al. | β | 2026 | β |
| Trajectories of genetic risk across dimensions of alcohol use behaviors. | Savage JE et al. | β | 2026 | β |
| Acetaldehyde-driven mRNA methylation and expression changes in ethanol-metabolizing enzyme genes. | Koo JS et al. | β | 2025 | β |
| "General Addiction Liability" Revisited. | Watts AL et al. | β | 2025 | β |
| Genome Variation in Alcohol Use Disorder by Whole-Exome Sequencing. | Liu L et al. | β | 2025 | β |
| Genome-Wide Association Study and Candidate Gene Identification for Girth Traits in Rubber Tree. | Li W et al. | β | 2025 | β |
| Next-generation biomarkers for alcohol consumption and alcohol use disorder diagnosis, prognosis, and treatment: AΒ critical review. | Clark SL et al. | β | 2025 | β |
| Precision medicine in substance use disorders: Integrating behavioral, environmental, and biological insights. | Guerrin CGJ et al. | β | 2025 | β |
| A phenome-wide association and Mendelian randomisation study of alcohol use variants in a diverse cohort comprising over 3 million individuals. | Jennings MV et al. | β | 2024 | β |
| Beyond the factor indeterminacy problem using genome-wide association data. | Clapp Sullivan ML et al. | β | 2024 | β |
| Polygenic risk for alcohol use disorder affects cellular responses to ethanol exposure in a human microglial cell model. | Li X et al. | β | 2024 | β |
| The genetic landscape of substance use disorders. | Gerring ZF et al. | β | 2024 | β |
| A whole exome sequencing study to identify rare variants in multiplex families with alcohol use disorder. | Hill SY et al. | β | 2023 | β |
| Genetic nurture effects for alcohol use disorder. | Thomas NS et al. | β | 2023 | β |
| Association between platelet MAO activity and lifetime drug use in a longitudinal birth cohort study. | Sakala K et al. | β | 2022 | β |
| Genetic and environmental etiology of drinking motives in college students. | Savage JE et al. | β | 2022 | β |
| Genome-wide association mapping of ethanol sensitivity in the Diversity Outbred mouse population. | Parker CC et al. | β | 2022 | β |
| Genome-wide meta-analysis of alcohol use disorder in East Asians. | Zhou H et al. | β | 2022 | β |
| How alcohol makes the epigenetic clock tick faster and the clock reversing effect of abstinence. | Zindler T et al. | β | 2022 | β |
| Natural History of Alcohol-Associated Liver Disease: Understanding the Changing Landscape of Pathophysiology and Patient Care. | Bajaj JS et al. | β | 2022 | β |
| The Genomic Profile Associated with Risk of Severe Forms of COVID-19 in Amazonian Native American Populations. | Pastana LF et al. | β | 2022 | β |
| Allele-specific expression and high-throughput reporter assay reveal functional genetic variants associated with alcohol use disorders. | Rao X et al. | β | 2021 | β |
| Association of <i>PIP4K2A</i> Polymorphisms with Alcohol Use Disorder. | Fedorenko OY et al. | β | 2021 | β |
| Bibliometric Insights in Genetic Factors of Substance-Related Disorders: Intellectual Developments, Turning Points, and Emerging Trends. | Wang K et al. | β | 2021 | β |
| Epigenetics of alcohol use disorder-A review of recent advances in DNA methylation profiling. | Longley MJ et al. | β | 2021 | β |
| Ethanol-Related Behaviors in Mouse Lines Selectively Bred for Drinking to Intoxication. | Jensen BE et al. | β | 2021 | β |
| Gender Differences among Sardinians with Alcohol Use Disorder. | Agabio R et al. | β | 2021 | β |
| Genetic variants of <i>EML1</i> and <i>HIST1H4E</i> in myeloid cell-related pathway genes independently predict cutaneous melanoma-specific survival. | He Y et al. | β | 2021 | β |
| Identifying a novel biological mechanism for alcohol addiction associated with circRNA networks acting as potential miRNA sponges. | Vornholt E et al. | β | 2021 | β |
| Long tracks of homozygosity predict the severity of alcohol use disorders in an American Indian population. | Peng Q et al. | β | 2021 | β |
| Multivariate analysis of 1.5 million people identifies genetic associations with traits related to self-regulation and addiction. | Karlsson LinnΓ©r R et al. | β | 2021 | β |
| Proteomic Signatures of Lifestyle Risk Factors for Cardiovascular Disease: A Cross-Sectional Analysis of the Plasma Proteome in the Framingham Heart Study. | Corlin L et al. | β | 2021 | β |
| The influence of regression models on genome-wide association studies of alcohol dependence: a comparison of binary and quantitative analyses. | Li W et al. | β | 2021 | β |
| The Vista of Application of Specific Anaphylaxis Accurate Diagnosis Based on DNA Single-Nucleotide Methylation Sites. | Guo X et al. | β | 2021 | β |
| Alcohol Cue-Induced Ventral Striatum Activity Predicts Subsequent Alcohol Self-Administration. | Lim AC et al. | β | 2020 | β |
| Alcohol Sensitivity as an Endophenotype of Alcohol Use Disorder: Exploring Its Translational Utility between Rodents and Humans. | Parker CC et al. | β | 2020 | β |
| Association of relative brain age with tobacco smoking, alcohol consumption, and genetic variants. | Ning K et al. | β | 2020 | β |
| Differential sensitivity of human neurons carrying ΞΌ opioid receptor (MOR) N40D variants in response to ethanol. | Scarnati MS et al. | β | 2020 | β |
| Flying Together: <i>Drosophila</i> as a Tool to Understand the Genetics of Human Alcoholism. | Lathen DR et al. | β | 2020 | β |
| GRM8 genotype is associated with externalizing disorders and greater inter-trial variability in brain activation during a response inhibition task. | Bauer LO et al. | β | 2020 | β |
| Identification of Functional Genetic Variants Associated With Alcohol Dependence and Related Phenotypes Using a High-Throughput Assay. | Thapa KS et al. | β | 2020 | β |
| On the path towards personalized medicine: Implications of pharmacogenetic studies of alcohol use disorder medications. | Nieto SJ et al. | β | 2020 | β |
| Recent Efforts to Dissect the Genetic Basis of Alcohol Use and Abuse. | Sanchez-Roige S et al. | β | 2020 | β |
| Selective alterations in endogenous opioid system genes expression in rats selected for high ethanol intake during adolescence. | Bellia F et al. | β | 2020 | β |
| Beyond genome-wide significance: integrative approaches to the interpretation and extension of GWAS findings for alcohol use disorder. | Salvatore JE et al. | β | 2019 | β |
| Contributions of an Internalizing Symptoms Polygenic Risk Score and Contextual Factors to Alcohol-Related Disorders in African American Young Adults. | Rabinowitz JA et al. | β | 2019 | β |
| Cross-species alcohol dependence-associated gene networks: Co-analysis of mouse brain gene expression and human genome-wide association data. | Mignogna KM et al. | β | 2019 | β |
| Cross-Species Co-analysis of Prefrontal Cortex Chronic Ethanol Transcriptome Responses in Mice and Monkeys. | Bogenpohl JW et al. | β | 2019 | β |
| Genes, Roommates, and Residence Halls: A Multidimensional Study of the Role of Peer Drinking on College Students' Alcohol Use. | Smith RL et al. | β | 2019 | β |
| Genetic loci for alcohol-related life events and substance-induced affective symptoms: indexing the "dark side" of addiction. | Peng Q et al. | β | 2019 | β |
| Genetics of alcohol use disorder: a review. | Deak JD et al. | β | 2019 | β |
| Genetic Studies of Tic Disorders and Tourette Syndrome. | Qi Y et al. | β | 2019 | β |
| Genome-wide association studies of alcohol dependence, DSM-IV criterion count and individual criteria. | Lai D et al. | β | 2019 | β |
| Genome-wide association study of alcohol consumption and use disorder in 274,424 individuals from multiple populations. | Kranzler HR et al. | β | 2019 | β |
| Genome-wide association study of alcohol use disorder identification test (AUDIT) scores in 20Β 328 research participants of European ancestry. | Sanchez-Roige S et al. | β | 2019 | β |
| GWAS of Behavioral Traits. | Mehta D et al. | β | 2019 | β |
| Lack of Association between Opioid-Receptor Genotypes and Smoking Cessation Outcomes in a Randomized, Controlled Naltrexone Trial. | Roche DJO et al. | β | 2019 | β |
| Molecular tools to elucidate factors regulating alcohol use. | Logrip ML | β | 2019 | β |
| Paternal Preconception Every-Other-Day Ethanol Drinking Alters Behavior and Ethanol Consumption in Offspring. | Beeler E et al. | β | 2019 | β |
| Pharmacogenetics of alcohol use disorder treatments: an update. | Hartwell EE et al. | β | 2019 | β |
| The association between the FTO gene variant and alcohol consumption and binge and problem drinking in different gene-environment background: The HAPIEE study. | Hubacek JA et al. | β | 2019 | β |
| The Family Check-up Intervention Moderates Polygenic Influences on Long-Term Alcohol Outcomes: Results from a Randomized Intervention Trial. | Kuo SI et al. | β | 2019 | β |
| Unpacking Genetic Risk Pathways for College Student Alcohol Consumption: The Mediating Role of Impulsivity. | Ksinan AJ et al. | β | 2019 | β |
| "Why did I get that part of you?" Understanding addiction genetics through family history. | Dingel MJ et al. | β | 2019 | β |
| Alcohol Dehydrogenases, Aldehyde Dehydrogenases, and Alcohol Use Disorders: A Critical Review. | Edenberg HJ et al. | β | 2018 | β |
| AUDIT-C and ICD codes as phenotypes for harmful alcohol use: association with ADH1B polymorphisms in two US populations. | Justice AC et al. | β | 2018 | β |
| Curtailing the communicability of psychiatric disorders. | Wainberg ML et al. | β | 2018 | β |
| GABA<sub>A</sub> receptor polymorphisms in alcohol use disorder in the GWAS era. | Koulentaki M et al. | β | 2018 | β |
| Incorporating Functional Genomic Information to Enhance Polygenic Signal and Identify Variants Involved in Gene-by-Environment Interaction for Young Adult Alcohol Problems. | Salvatore JE et al. | β | 2018 | β |
| Polygenic Risk Score Prediction of Alcohol Dependence Symptoms Across Population-Based and Clinically Ascertained Samples. | Savage JE et al. | β | 2018 | β |
| Research Review: What have we learned about adolescent substance use? | Gray KM et al. | β | 2018 | β |
| Severity of alcohol dependence is associated with the fatty acid amide hydrolase Pro129Thr missense variant. | Sloan ME et al. | β | 2018 | β |
| Shaping vulnerability to addiction - the contribution of behavior, neural circuits and molecular mechanisms. | Egervari G et al. | β | 2018 | β |
| Transancestral GWAS of alcohol dependence reveals common genetic underpinnings with psychiatric disorders. | Walters RK et al. | β | 2018 | β |
| Alcohol and nicotine codependence-associated DNA methylation changes in promoter regions of addiction-related genes. | Xu H et al. | β | 2017 | β |
| Alcohol Misuse Across the Lifespan: Insights from Developmental Studies in Behavior Genetics. | Savage JE et al. | β | 2017 | β |
| Bivariate genome-wide association analyses identified genetic pleiotropic effects for bone mineral density and alcohol drinking in Caucasians. | Lu S et al. | β | 2017 | β |
| Blunted Dopamine Transmission in Addiction: Potential Mechanisms and Implications for Behavior. | Trifilieff P et al. | β | 2017 | β |
| Deep Sequencing of 71 Candidate Genes to Characterize Variation Associated with Alcohol Dependence. | Clark SL et al. | β | 2017 | β |
| Genes, Environments, and Sex Differences in Alcohol Research. | Salvatore JE et al. | β | 2017 | β |
| Genetic studies of alcohol dependence in the context of the addiction cycle. | Reilly MT et al. | β | 2017 | β |
| Genome-wide association study of Alcohol Use Disorder Identification Test (AUDIT) scores in 20,328 research participants of European ancestry | Sanchez-Roige S et al. | β | 2017 | β |
| "I don't have to know why it snows, I just have to shovel it!": Addiction Recovery, Genetic Frameworks, and Biological Citizenship. | Dingel MJ et al. | β | 2017 | β |
| Stability and change in etiological factors for alcohol use disorder and major depression. | Torvik FA et al. | β | 2017 | β |
| The utility of empirically assigning ancestry groups in cross-population genetic studies of addiction. | Peterson RE et al. | β | 2017 | β |
| Validating Harmful Alcohol Use as a Phenotype for Genetic Discovery Using Phosphatidylethanol and a Polymorphism in ADH1B. | Justice AC et al. | β | 2017 | β |
| Variation in SWI/SNF Chromatin Remodeling Complex Proteins is Associated with Alcohol Dependence and Antisocial Behavior in Human Populations. | Mathies LD et al. | β | 2017 | β |
| Contributions of mobile technologies to addiction research. | Swendsen J | β | 2016 | β |
| Genetic influences on adolescent behavior. | Dick DM et al. | β | 2016 | β |
| Genetics of Substance Use Disorders. | Yu C et al. | β | 2016 | β |