Peter B Barr1, Jessica E Salvatore1,2, Hermine H Maes2,3,4,5, Tellervo Korhonen6,7,8,9, Antti Latvala7, Fazil Aliev2,10, Richard Viken11, Richard J Rose11, Jaakko Kaprio7,8,9, Danielle M Dick1,3,12. 1. Department of Psychology, Virginia Commonwealth University, Richmond, Virginia. 2. Virginia Institute for Psychiatric and Behavioral Genetics, Department of Psychiatry, School of Medicine, Virginia Commonwealth University, Richmond, Virginia. 3. Department of Human and Molecular Genetics, School of Medicine, Virginia Commonwealth University, Richmond, Virginia. 4. Department of Psychiatry, School of Medicine, Virginia Commonwealth University, Richmond, Virginia. 5. Massey Cancer Center, Virginia Commonwealth University, Richmond, Virginia. 6. Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland. 7. Department of Public Health, University of Helsinki, Helsinki, Finland. 8. Department of Health, National Institute for Health and Welfare, Helsinki, Finland. 9. Institute for Molecular Medicine, University of Helsinki, Helsinki, Finland. 10. Faculty of Business, Karabük University, Karabük, Turkey. 11. Department of Psychological and Brain Sciences, Indiana University, Bloomington, Indiana. 12. Department of African American Studies, Virginia Commonwealth University, Richmond, Virginia.
Abstract
OBJECTIVE: Social relationships, such as committed partnerships, limit risky behaviors like heavy drinking, in part, because of increased social control. The current analyses examine whether involvement in committed relationships or social support extend beyond a main effect to limit genetic liability in heavy drinking (gene-environment interaction) during young adulthood. METHOD: Using data from the young adult wave of the Finnish Twin Study, FinnTwin12 (n = 3,269), we tested whether involvement in romantic partnerships or social support moderated genetic influences on heavy drinking using biometric twin modeling for gene-environment interaction. RESULTS: Involvement in a romantic partnership was associated with a decline in genetic variance in both males and females, although the overall magnitude of genetic influence was greater in males. Sex differences emerged for social support: increased social support was associated with increased genetic influence for females and reduced genetic influence for males. CONCLUSIONS: These findings demonstrate that social relationships are important moderators of genetic influences on young adult alcohol use. Mechanisms of social control that are important in limiting genetic liability during adolescence extend into young adulthood. In addition, although some relationships limit genetic liability equally, others, such as extensive social networks, may operate differently across sex.
OBJECTIVE: Social relationships, such as committed partnerships, limit risky behaviors like heavy drinking, in part, because of increased social control. The current analyses examine whether involvement in committed relationships or social support extend beyond a main effect to limit genetic liability in heavy drinking (gene-environment interaction) during young adulthood. METHOD: Using data from the young adult wave of the Finnish Twin Study, FinnTwin12 (n = 3,269), we tested whether involvement in romantic partnerships or social support moderated genetic influences on heavy drinking using biometric twin modeling for gene-environment interaction. RESULTS: Involvement in a romantic partnership was associated with a decline in genetic variance in both males and females, although the overall magnitude of genetic influence was greater in males. Sex differences emerged for social support: increased social support was associated with increased genetic influence for females and reduced genetic influence for males. CONCLUSIONS: These findings demonstrate that social relationships are important moderators of genetic influences on young adult alcohol use. Mechanisms of social control that are important in limiting genetic liability during adolescence extend into young adulthood. In addition, although some relationships limit genetic liability equally, others, such as extensive social networks, may operate differently across sex.
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Authors: Richard J Rose; Jessica E Salvatore; Sari Aaltonen; Peter B Barr; Leonie H Bogl; Holly A Byers; Kauko Heikkilä; Tellervo Korhonen; Antti Latvala; Teemu Palviainen; Anu Ranjit; Alyce M Whipp; Lea Pulkkinen; Danielle M Dick; Jaakko Kaprio Journal: Twin Res Hum Genet Date: 2019-10-23 Impact factor: 1.587