Polygenic risk for alcohol misuse is moderated by romantic partnerships.
- Authors
- Barr, Peter B; Kuo, Sally I-Chun; Aliev, Fazil; Latvala, Antti; Viken, Richard; Rose, Richard J; Kaprio, Jaakko; Salvatore, Jessica E; Dick, Danielle M
- Year
- 2019
- Journal
- Addiction (Abingdon, England)
- PMID
- 31240774
- DOI
- 10.1111/add.14712
- PMCID
- PMC7108791
BACKGROUND AND AIMS: Previous twin research suggests relationship status can moderate underlying genetic liability towards alcohol misuse. This paper examined: (1) whether genome-wide polygenic scores (GPS) for alcohol consumption are associated with alcohol misuse; (2) whether these GPS are moderated by romantic relationships (gene-environment interaction; GΒ ΓΒ E) and (3) whether GΒ ΓΒ E results are consistent across sex. DESIGN: Linear mixed-effects models were used to test associations between genome-wide polygenic scores, relationship status and alcohol use/misuse. SETTING: Finnish twins born between 1983 and 1987 identified through Finland's central population registry. PARTICIPANTS: An intensively studied subset of Finnish Twin Study (FinnTwin12) during the young adult phase (aged 20-26Β years). The analytical sample includes those with complete interview and genetic data (nΒ =Β 1201). MEASUREMENTS: Key measurements included involvement in a romantic partnership, drinking frequency, intoxication frequency and DSM-IV alcohol dependence (AD) symptoms. Genome-wide polygenic scores (GPS) were created from available summary statistics from a large genome-wide association study (GWAS) of drinks per week. RESULTS: GPS predicted drinking frequency [bΒ =Β 0.109; 95% confidence interval (CI)Β =Β 0.050, 0.168], intoxication frequency (bΒ =Β 0.111; 95% CIΒ =Β 0.054, 0.168) and AD symptoms (bΒ =Β 0.123; 95% CIΒ =Β 0.064, 0.182). Having a romantic relationship negatively influenced the association between GPS and drinking frequency (bΒ =Β -0.105; 95% CIΒ =Β -0.211, -0.001), intoxication frequency (bΒ =Β -0.118; 95% CIΒ =Β -0.220, -0.016) and AD symptoms (bΒ =Β -0.119; 95% CIΒ =Β -0.229, -0.009). There was a three-way interaction between sex, relationship status and GPS for intoxication frequency (bΒ =Β 0.223; 95% CIΒ =Β 0.013, 0.433), such that the reduced association between GPS and intoxication frequency for those in a relationship was only apparent in males. We found no evidence of three-way interactions for drinking frequency or AD symptoms. CONCLUSIONS: Being in a romantic relationship reduced the association between genetic predisposition and drinking, high-risk drinking and alcohol problems. However, for high-risk drinking the protective effect was limited to males, mapping onto earlier findings suggesting that males benefit more from romantic partnerships.
Predictive power of genome-wide association studies (GWAS) and Sequencing Consortium of Alcohol and Nicotine Use (GSCAN) polygenic scores. Vertical bars represent change in model R2 from base model (age and sex as covariates) to model including polygenic scores at various P-value inclusion thresholds (determined by P-value from discovery GWAS) for drinking frequency (left), intoxication frequency (center), and alcohol dependence symptoms (right). *Association P< 0.05.
Geneβenvironment interaction across relationship status and polygenic risk. Standardized predicted values of drinking frequency (left), intoxication frequency (center), and alcohol dependence symptoms (right) across the observed range of polygenic scores for those in a relationship (blue) and those not in a relationship (red). Shaded areas represent 95% pointwise confidence intervals of estimates.
Sex differences in G Γ E for intoxication frequency. Predicted values of intoxication frequency (standardized) for females (left) and males (right) across the observed range of polygenic scores and sex for those in a relationship (blue) and those not in a relationship (red). Shaded areas represent 95% pointwise confidence intervals of estimates.
| Name | Type |
|---|---|
| 1000 Genomes Project | cohort |
| 23andMe | cohort |
| ADsx | phenotype |
| AD symptoms | phenotype |
| age | phenotype |
| alcohol | phenotype |
| alcohol dependence | phenotype |
| Alcohol Dependence Symptoms | phenotype |
| alcohol intoxication | phenotype |
| Alcohol Problems | phenotype |
| alcohol-related behaviors | phenotype |
| alcohol-related outcomes | phenotype |
| alcohol-related phenotypes | phenotype |
| Alcohol Use | phenotype |
| Alcohol Use Disorder | phenotype |
| alcohol use disorders | phenotype |
| autosomal SNPs | cohort |
| committed relationships | cohort |
| drinking | phenotype |
| educational attainment | phenotype |
| Emotional support local | phenotype |
| excessive alcohol consumption | phenotype |
| Finlandβs Population Registry local | cohort |
| Finnish population | cohort |
| Finntwin12 | cohort |
| genetic factors | cohort |
| genetic liability | phenotype |
| genetic risk | cohort |
| Genetic risk score local | variant |
| genetic variants | cohort |
| genome-wide association studies | cohort |
| GPS local | drug |
| GPS local | phenotype |
| GPS local | variant |
| GWAS | cohort |
| heavy drinking | phenotype |
| Human670-QuadCustom Illumina BeadChip | drug |
| Impute2 | drug |
| intox local | phenotype |
| intoxication | phenotype |
| intoxication frequency | phenotype |
| married individuals | cohort |
| men | cohort |
| Neighborhood factors local | phenotype |
| number of alcoholic drinks per week local | phenotype |
| parental monitoring | phenotype |
| Partner's drinking local | phenotype |
| Plink | drug |
| polygenic risk score | cohort |
| Polygenic risk scores local | variant |
| Polygenic score local | variant |
| Polygenic score for alcohol consumption local | drug |
| Polygenic score for alcohol misuse local | drug |
| problematic alcohol use | phenotype |
| problematic use | phenotype |
| relationship quality | phenotype |
| relationship status | phenotype |
| Relationship status local | cohort |
| religiosity | phenotype |
| Romantic partnership status local | phenotype |
| Romantic relationship local | cohort |
| School enrollment local | phenotype |
| sex | phenotype |
| SHAPEIT2 | drug |
| single nucleotide polymorphisms | variant |
| SNP-based heritability | phenotype |
| socio-economic status | phenotype |
| student status local | phenotype |
| substance use | phenotype |
| Twin cohort | cohort |
| unmarried individuals | phenotype |
| women | cohort |
| Young adult cohort | cohort |
| young adults | cohort |
No uploaded files.
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In this knowledge base
| Title | Year | PMID |
|---|---|---|
| Using polygenic scores for identifying individuals at increased risk of substance use disorders in clinical and population samples. | 2020 | 32555147 |
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