Measures of current alcohol consumption and problems: two independent twin studies suggest a complex genetic architecture.
- Authors
- Dick, Danielle M; Meyers, Jacquelyn L; Rose, Richard J; Kaprio, Jaakko; Kendler, Kenneth S
- Year
- 2011
- Journal
- Alcoholism, clinical and experimental research
- PMID
- 21689117
- DOI
- 10.1111/j.1530-0277.2011.01564.x
- PMCID
- PMC3215847
BACKGROUND: Twin studies demonstrate that measures of alcohol consumption (AC) show evidence of genetic influence, suggesting they may be useful in gene identification efforts. The extent to which these phenotypes will be informative in identifying susceptibility genes involved in alcohol dependence depends on the extent to which genetic influences are shared across measures of AC and alcohol problems. Previous studies have demonstrated that AC reported for the period of heaviest lifetime drinking shows a large degree of genetic overlap with alcohol dependence; however, many studies with genetic material assess current AC. Further, there are many different aspects of AC that can be assessed (e.g., frequency of use, quantity of use, and frequency of intoxication). METHODS: Here, we use data from 2 large, independent, population-based twin samples, FinnTwin 16 and The Virginia Adult Twin Study of Psychiatric and Substance Use Disorders, to examine the extent to which genetic influences are shared across many different measures of AC and alcohol problems. RESULTS: Genetic correlations across current AC measures and alcohol problems were high across both samples. However, both samples suggest a complex genetic architecture with many different genetic factors influencing various aspects of current AC and problems. CONCLUSIONS: These results suggest that careful attention must be paid to the phenotype in efforts to "replicate" genetic effects across samples or combine samples for meta-analyses of genetic effects influencing susceptibility to alcohol-related outcomes.
Full Cholesky model in the FinnTwin16 sample containing 7 latent genetic (A), shared environmental (C), and unique environmental (E) factors each loading onto the 7 measured alcohol variables (frequency, frequency × quantity, frequency of heavy drinking, frequency of intoxication, maximum drinks in a 24-hour period, the MAST, and the RAPI). MAST, Michigan Alcoholism Screening Test; RAPI, Rutgers Alcohol Problem Index.
Full Cholesky model in the VATSPSUD sample containing 5 latent genetic (A), shared environmental (C), and unique environmental (E) factors each loading onto the 5 measured alcohol variables (frequency, quantity, frequency of intoxication, maximum drinks in a 24-hour period, DSM-IV alcohol dependence symptoms [AD Sx]). VATSPSUD, Virginia Adult Twin Study of Psychiatric and Substance Use Disorders.
FinnTwin16 best-fitting model: additive genetic pathways. MAST, Michigan Alcoholism Screening Test; RAPI, Rutgers Alcohol Problem Index.
VATSPSUD best-fitting model: additive genetic pathways. VATSPSUD, Virginia Adult Twin Study of Psychiatric and Substance Use Disorders; AD Sx, alcohol dependence symptoms.
FinnTwin16 best-fitting model: unique environmental pathways. MAST, Michigan Alcoholism Screening Test; RAPI, Rutgers Alcohol Problem Index.
VATSPSUD best-fitting model: unique environmental pathways. VATSPSUD, Virginia Adult Twin Study of Psychiatric and Substance Use Disorders; AD Sx, alcohol dependence symptoms.
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| Predicting Alcohol Dependence Symptoms by Young Adulthood: A Co-Twin Comparisons Study. | Stephenson M et al. | — | 2021 | → |
| High-Intensity Drinking in Adult Australian Twins. | Dash GF et al. | — | 2020 | → |
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| The Genetic Relationship Between Alcohol Consumption and Aspects of Problem Drinking in an Ascertained Sample. | Johnson EC et al. | — | 2019 | → |
| Unpacking Genetic Risk Pathways for College Student Alcohol Consumption: The Mediating Role of Impulsivity. | Ksinan AJ et al. | — | 2019 | → |
| 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. | — | 2018 | → |
| Meta-Analysis of Genetic Influences on Initial Alcohol Sensitivity. | Edwards AC et al. | — | 2018 | → |
| Alcohol Misuse Across the Lifespan: Insights from Developmental Studies in Behavior Genetics. | Savage JE et al. | — | 2017 | → |
| Genetic and environmental sources of covariation between early drinking and adult functioning. | Waldron JS 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 | → |
| Molecular Genetic Influences on Normative and Problematic Alcohol Use in a Population-Based Sample of College Students. | Webb BT et al. | — | 2017 | → |
| Polygenic Risk, Personality Dimensions, and Adolescent Alcohol Use Problems: A Longitudinal Study. | Li JJ et al. | — | 2017 | → |
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| Associations between sexual abstinence ideals, religiosity, and alcohol abstinence: a longitudinal study of Finnish twins. | Winter T et al. | — | 2014 | → |
| Childhood verbal development and drinking behaviors from adolescence to young adulthood: a discordant twin-pair analysis. | Latvala A et al. | — | 2014 | → |
| Drinking, smoking, and educational achievement: cross-lagged associations from adolescence to adulthood. | Latvala A et al. | — | 2014 | → |
| Moderators of the association between peer and target adolescent substance use. | Marschall-Lévesque S et al. | — | 2014 | → |
| Alcohol consumption in men is influenced by qualitatively different genetic factors in adolescence and adulthood. | Edwards AC et al. | — | 2013 | → |
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| Quick screen to detect current substance use disorder in adolescents and the likelihood of future disorder. | Kirisci L et al. | — | 2013 | → |
| The association between DRD2/ANKK1 and genetically informed measures of alcohol use and problems. | Meyers JL et al. | — | 2013 | → |
| Genetic and environmental influences underlying externalizing behaviors, cigarette smoking and illicit drug use across adolescence. | Korhonen T et al. | — | 2012 | → |
| Genetics of schizophrenia and smoking: an approach to studying their comorbidity based on epidemiological findings. | de Leon J et al. | — | 2012 | → |
| Measuring alcohol consumption for genomic meta-analyses of alcohol intake: opportunities and challenges. | Agrawal A et al. | — | 2012 | → |
| The genetics of addiction-a translational perspective. | Agrawal A et al. | — | 2012 | → |