Alcohol use disorder and divorce: evidence for a genetic correlation in a population-based Swedish sample.
- Authors
- Salvatore, Jessica E; Larsson Lönn, Sara; Sundquist, Jan; Lichtenstein, Paul; Sundquist, Kristina; Kendler, Kenneth S
- Year
- 2017
- Journal
- Addiction (Abingdon, England)
- PMID
- 27981669
- DOI
- 10.1111/add.13719
- PMCID
- PMC5339032
AIMS: We tested the association between alcohol use disorder (AUD) and divorce; estimated the genetic and environmental influences on divorce; estimated how much genetic and environmental influences accounted for covariance between AUD and divorce; and estimated latent genetic and environmental correlations between AUD and divorce. We tested sex differences in these effects. DESIGN: We identified twin and sibling pairs with AUD and divorce information in Swedish national registers. We described the association between AUD and divorce using tetrachorics and used twin and sibling models to estimate genetic and environmental influences on divorce, on the covariance between AUD and divorce and the latent genetic and environmental correlations between AUD and divorce. SETTING: Sweden. PARTICIPANTS: A total of 670 836 individuals (53% male) born 1940-1965. MEASUREMENTS: Life-time measures of AUD and divorce. FINDINGS: AUD and divorce were related strongly (males: r = +0.44, 95% CI = 0.43, 0.45; females r = +0.37, 95% CI = 0.36, 0.38). Genetic factors accounted for a modest proportion of the variance in divorce (males: 21.3%, 95% CI = 7.6, 28.5; females: 31.0%, 95% CI = 18.8, 37.1). Genetic factors accounted for most of the covariance between AUD and divorce (males: 52.0%, 95% CI = 48.8, 67.9; females: 53.74%, 95% CI = 17.6, 54.5), followed by non-shared environmental factors (males: 45.0%, 95% CI = 37.5, 54.9; females: 41.6%, 95% CI = 40.3, 60.2). Shared environmental factors accounted for a negligible proportion of the covariance (males: 3.0%, 95% CI = -3.0, 13.5; females: 4.75%, 95% CI = 0.0, 6.6). The AUD-divorce genetic correlations were high (males: rA = +0.76, 95% CI = 0.53, 0.90; females +0.52, 95% CI = 0.24, 0.67). The non-shared environmental correlations were modest (males: rE = +0.32, 95% CI = 0.31, 0.40; females: +0.27, 95% CI = 0.27, 0.36). CONCLUSIONS: Divorce and alcohol use disorder are correlated strongly in the Swedish population, and the heritability of divorce is consistent with previous studies. Covariation between AUD and divorce results from overlapping genetic and non-shared environmental factors. Latent genetic and non-shared environmental correlations for alcohol use disorder and divorce are high and moderate.
Parameter estimates and 95% confidence intervals from the full bivariate Cholesky decomposition model for alcohol use disorder (AUD) and divorce (DIV) for males (Panel A) and females (Panel B). ‘A’ denotes additive genetic effects, ‘C’ denotes shared environmental effects, and ‘E’ denotes nonshared environmental effects. Genetic, shared environmental, or nonshared environmental factors contribute to the association between AUD and DIV when the 95% confidence intervals for the cross-paths from the A1, C1, and E1 latent factors to DIV do not include zero
Genetic and environmental sources of covariation between AUD and DIV for males and females. Percentages represent the degree to which covariance between AUD and DIV accounted for by additive genetic (A), shared environmental (C), and nonshared environmental (E) factors.
Latent genetic (rA), shared environmental (rC), and nonshared environmental (rE) correlations between AUD and DIV. Bars define the 95% confidence intervals for the estimates.
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| Alcohol Misuse Across the Lifespan: Insights from Developmental Studies in Behavior Genetics. | Savage JE et al. | — | 2017 | → |
| Commentary on Salvatore et al. (2017): Dyadic research can clarify non-shared environmental influences on alcohol use disorder and divorce. | Cranford JA | — | 2017 | → |
| Swedish Register Analysis of Divorce and Alcohol Use Disorder Highlights Social Relationships as a Target for Preventive Psychiatry and Genetic Research. | Richmond-Rakerd LS et al. | — | 2017 | → |