Genomewide Association Study for Maximum Number of Alcoholic Drinks in European Americans and African Americans.
- Authors
- Xu, Ke; Kranzler, Henry R; Sherva, Richard; Sartor, Carolyn E; Almasy, Laura; Koesterer, Ryan; Zhao, Hongyu; Farrer, Lindsay A; Gelernter, Joel
- Year
- 2015
- Journal
- Alcoholism, clinical and experimental research
- PMID
- 26036284
- DOI
- 10.1111/acer.12751
- PMCID
- PMC4706077
BACKGROUND: We conducted a genomewide association study (GWAS) for maximum number of alcoholic drinks consumed in a 24-hour period ("MaxDrinks"), in 2 independent samples comprised of over 9,500 subjects, following up on our GWAS for alcohol dependence (AD) in European Americans (EAs) and African Americans (AAs). METHODS: The samples included our GWAS samples (Yale-UPenn) recruited for studies of the genetics of drug or AD, and a publicly available sample: the Study of Addiction: Genetics and Environment (SAGE). Genomewide association analysis was performed for ~890,000 single nucleotide polymorphisms (SNPs) using linear association random effects models. EAs and AAs were separately analyzed. RESULTS: The results confirmed significant associations of the well-known functional loci at ADH1B with MaxDrinks in EAs (rs1229984 Arg48His p = 5.96 × 10(-15) ) and AAs (rs2066702 Arg370Cys, p = 2.50 × 10(-10) ). The region of significant association on chromosome 4 was extended to LOC100507053 in AAs but not EAs. We also identified potentially novel significant common SNPs for MaxDrinks in EAs in the Yale-UPenn sample: rs1799876 at SERPINC1 on chromosome 1 (4.00 × 10(-8) ) and rs2309169 close to ANKRD36 on chromosome 2 (p = 5.58 × 10(-9) ). After adjusting for the peak SNP rs1229984 on ADH1B, rs1799876 was nearly significant (p = 1.99 × 10(-7) ) and rs2309169 remained highly significant (2.12 × 10(-9) ). CONCLUSIONS: The results provide further support that ADH1B modulates alcohol consumption. Future replications of potential novel loci are warranted. This is the largest MaxDrinks GWAS to date, the first in AAs.
Manhattan plot and QQ plot in European Americans (EA) in the Yale-UPenn sample. The peak SNP was rs1229984 (ADH1B) on chromosome 4 (p=5.96 x 10-15). Two novel loci were rs1799876 on chromosome 1 (p=4.00 x 10-8) and rs2309169 on chromosome 2 (5.58 x 10-9). After adjusting for rs122984 on ADH1B, rs2309169 remained significant (p=2.1 x 10-9), but rs1799876 was nearly significant (p=1.99 x 10-7).
Manhattan plot and QQ plot in African Americans (AAs) in the combination of the Yale-UPenn samples and the SAGE samples. Eight SNPs on chromosome 4 reached genome-wide significance. The peak SNP was rs2066702 (ADH1B) on chromosome 4 (p=2.50 x 10-10).
| Name | Type |
|---|---|
| 1000 Genomes dataset local | cohort |
| AA | cohort |
| AA population | cohort |
| AA sample | cohort |
| acetaldehyde | drug |
| ADH1B | gene |
| ADH1C | gene |
| AD symptom count | phenotype |
| African American | cohort |
| African American (AA) samples local | cohort |
| African descent individuals local | cohort |
| alcohol | phenotype |
| alcohol dependence | phenotype |
| alcohol-related phenotypes | phenotype |
| ALDH2 | gene |
| Alzheimer's disease | phenotype |
| ANKRD36 local | gene |
| Asian | cohort |
| Australian local | cohort |
| Australian twin population local | cohort |
| Australian Twin Registry | cohort |
| body mass index | phenotype |
| C12orf51 | gene |
| CCDC88A | gene |
| Chinese population | cohort |
| cocaine | phenotype |
| COGEND | cohort |
| Collaborative Study on the Genetics of Alcoholism (COGA) | cohort |
| Combined Yale-Upenn and SAGE local | cohort |
| DDC | gene |
| drug dependence | phenotype |
| DSM criterion count local | phenotype |
| EA | cohort |
| EA population | cohort |
| EAs | cohort |
| European American (EA) samples local | cohort |
| European ancestry | cohort |
| European population | cohort |
| Fagerström Test for Nicotine Dependence | phenotype |
| flushing response to alcohol local | phenotype |
| FSCD | cohort |
| Gene Environment Association Studies | cohort |
| Heaviness of alcohol drinking factor score local | phenotype |
| Impute2 | drug |
| Irish affected sibpairs local | cohort |
| Israeli local | cohort |
| Kcnb2 | gene |
| Korean men | cohort |
| LMO1 | gene |
| LOC100507053 | gene |
| LogM local | phenotype |
| maxdrinks | phenotype |
| metal | drug |
| METAP local | gene |
| MTIF2 local | gene |
| nicotine | drug |
| nicotine dependence | phenotype |
| opioid | drug |
| opioid dependence | phenotype |
| past-year drinking | phenotype |
| PDL1M5 local | gene |
| PLCL1 | gene |
| rs1040883 local | variant |
| rs1128951 local | variant |
| rs1229984 | variant |
| rs1693457 | variant |
| rs1789882 local | variant |
| rs1799865 local | variant |
| rs1799876 | variant |
| rs200475889 | variant |
| rs20047889 local | variant |
| rs2066207 local | variant |
| rs2066702 | variant |
| rs2309169 | variant |
| rs34009511 local | variant |
| rs671 | variant |
| rs9512637 | variant |
| SAGE | cohort |
| SAGE cohort local | cohort |
| SAGE dataset | cohort |
| SAGE samples local | cohort |
| SERPINC1 | gene |
| Smpd1 | gene |
| SNP (chr4 region) local | variant |
| SNPs (genome-wide) local | variant |
| Study of Addiction: Genetics and Environment | cohort |
| substance dependence comorbidity local | phenotype |
| thrombosis-related phenotypes local | phenotype |
| Yale-Upenn local | cohort |
| Yale-UPenn local | cohort |
| Yale-UPenn and SAGE samples local | cohort |
| Yale-UPenn cohort local | cohort |
| Yale-Upenn EA sample local | cohort |
| Yale-UPenn sample local | cohort |
| Yale-UPenn samples local | cohort |
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| Cigarette smoking behaviors and the importance of ethnicity and genetic ancestry. | Choquet H et al. | — | 2021 | → |
| Converging vulnerability factors for compulsive food and drug use. | Serafine KM et al. | — | 2021 | → |
| Genetics of substance use disorders: a review. | Deak JD et al. | — | 2021 | → |
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| Assessing the Role of Long Noncoding RNA in Nucleus Accumbens in Subjects With Alcohol Dependence. | Drake J et al. | — | 2020 | → |
| Dietary yeast influences ethanol sedation in Drosophila via serotonergic neuron function. | Schmitt RE et al. | — | 2020 | → |
| High-Intensity Drinking in Adult Australian Twins. | Dash GF et al. | — | 2020 | → |
| The causal web of foetal alcohol spectrum disorders: a review and causal diagram. | McQuire C et al. | — | 2020 | → |
| The Landscape of Micro-Inversions Provide Clues for Population Genetic Analysis of Humans. | Qu L et al. | — | 2020 | → |
| Translational Molecular Approaches in Substance Abuse Research. | Fulton SL et al. | — | 2020 | → |
| ALDH2 Polymorphism and Ethanol Consumption: A Genetic-Environmental Interaction in Carcinogenesis. | Yang M et al. | — | 2019 | → |
| Assessing the role of long-noncoding RNA in nucleus accumbens in subjects with alcohol dependence | McMichael GO et al. | — | 2019 | — |
| Association between the missense alcohol dehydrogenase rs1229984T variant with the risk for Parkinson's disease in women. | García-Martín E et al. | — | 2019 | → |
| Gastric cancer: epidemiology, biology, and prevention: a mini review. | Lyons K et al. | — | 2019 | → |
| Genetic determinants of beverage consumption: Implications for nutrition and health. | Cornelis MC | — | 2019 | → |
| Genome-wide association study of alcohol consumption and use disorder in 274,424 individuals from multiple populations. | Kranzler HR et al. | — | 2019 | → |
| 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. | — | 2019 | → |
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| How Much Do You Drink on Your Heavy Drinking Day? | Edenberg HJ | — | 2019 | → |
| Shared additive genetic variation for alcohol dependence among subjects of African and European ancestry. | Brick LA et al. | — | 2019 | → |
| ADH1B: From alcoholism, natural selection, and cancer to the human phenome. | Polimanti R et al. | — | 2018 | → |
| Alcohol Dehydrogenases, Aldehyde Dehydrogenases, and Alcohol Use Disorders: A Critical Review. | Edenberg HJ et al. | — | 2018 | → |
| AUDIT-C and ICD codes as phenotypes for harmful alcohol use: association with ADH1B polymorphisms in two US populations. | Justice AC et al. | — | 2018 | → |
| GABA<sub>A</sub> receptor polymorphisms in alcohol use disorder in the GWAS era. | Koulentaki M et al. | — | 2018 | → |
| Gender-Specific Effects of Selection for Drinking in the Dark on the Network Roles of Coding and Noncoding RNAs. | Iancu OD et al. | — | 2018 | → |
| Genomewide Association Study of Alcohol Dependence and Related Traits in a Thai Population. | Gelernter J et al. | — | 2018 | → |
| Human Genetics of Addiction: New Insights and Future Directions. | Hancock DB et al. | — | 2018 | → |
| Polygenic Risk Scores in Clinical Psychology: Bridging Genomic Risk to Individual Differences. | Bogdan R et al. | — | 2018 | → |
| Problematic alcohol use associates with sodium channel and clathrin linker 1 (SCLT1) in trauma-exposed populations. | Almli LM et al. | — | 2018 | → |
| Analysis of the Association of Nonsynonymous Polymorphisms in ADH Genes with Hazardous Drinking in HIV-1-Positive Individuals. | Wolf JM et al. | — | 2017 | → |
| Association Between the rs1229984 Polymorphism in the Alcohol Dehydrogenase 1B Gene and Risk for Restless Legs Syndrome. | Jiménez-Jiménez FJ et al. | — | 2017 | → |
| Comorbidity of Alcohol Use Disorder and Chronic Pain: Genetic Influences on Brain Reward and Stress Systems. | Yeung EW et al. | — | 2017 | → |
| Emerging roles for ncRNAs in alcohol use disorders. | Mayfield RD | — | 2017 | → |
| Genetic Contribution to Alcohol Dependence: Investigation of a Heterogeneous German Sample of Individuals with Alcohol Dependence, Chronic Alcoholic Pancreatitis, and Alcohol-Related Cirrhosis. | Treutlein J et al. | — | 2017 | → |
| Genetic contributors to variation in alcohol consumption vary by race/ethnicity in a large multi-ethnic genome-wide association study. | Jorgenson E et al. | — | 2017 | → |
| Lack of associations of the opioid receptor mu 1 (OPRM1) A118G polymorphism (rs1799971) with alcohol dependence: review and meta-analysis of retrospective controlled studies. | Kong X et al. | — | 2017 | → |
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| The genetic epidemiology of substance use disorder: A review. | Prom-Wormley EC et al. | — | 2017 | → |
| Phenome-Wide Association Study for Alcohol and Nicotine Risk Alleles in 26394 Women. | Polimanti R et al. | — | 2016 | → |