Literature DB >> 32611468

Using a developmental perspective to examine the moderating effects of marriage on heavy episodic drinking in a young adult sample enriched for risk.

Seung Bin Cho1,2, Rebecca L Smith2, Kathleen Bucholz3, Grace Chan4, Howard J Edenberg5, Victor Hesselbrock4, John Kramer6, Vivia V McCutcheon3, John Nurnberger7, Marc Schuckit8, Yong Zang9, Danielle M Dick2,10, Jessica E Salvatore2,11.   

Abstract

Many studies demonstrate that marriage protects against risky alcohol use and moderates genetic influences on alcohol outcomes; however, previous work has not considered these effects from a developmental perspective or in high-risk individuals. These represent important gaps, as it cannot be assumed that marriage has uniform effects across development or in high-risk samples. We took a longitudinal developmental approach to examine whether marital status was associated with heavy episodic drinking (HED), and whether marital status moderated polygenic influences on HED. Our sample included 937 individuals (53.25% female) from the Collaborative Study on the Genetics of Alcoholism who reported their HED and marital status biennially between the ages of 21 and 25. Polygenic risk scores (PRS) were derived from a genome-wide association study of alcohol consumption. Marital status was not associated with HED; however, we observed pathogenic gene-by-environment effects that changed across young adulthood. Among those who married young (age 21), individuals with higher PRS reported more HED; however, these effects decayed over time. The same pattern was found in supplementary analyses using parental history of alcohol use disorder as the index of genetic liability. Our findings indicate that early marriage may exacerbate risk for those with higher polygenic load.

Entities:  

Keywords:  alcohol; development; genetics; marital status; young adults

Mesh:

Year:  2021        PMID: 32611468      PMCID: PMC7775899          DOI: 10.1017/S0954579420000371

Source DB:  PubMed          Journal:  Dev Psychopathol        ISSN: 0954-5794


  42 in total

1.  Factors predicting the onset of adolescent drinking in families at high risk for developing alcoholism.

Authors:  S Y Hill; S Shen; L Lowers; J Locke
Journal:  Biol Psychiatry       Date:  2000-08-15       Impact factor: 13.382

Review 2.  Social context in gene-environment interactions: retrospect and prospect.

Authors:  Michael J Shanahan; Scott M Hofer
Journal:  J Gerontol B Psychol Sci Soc Sci       Date:  2005-03       Impact factor: 4.077

3.  PLINK: a tool set for whole-genome association and population-based linkage analyses.

Authors:  Shaun Purcell; Benjamin Neale; Kathe Todd-Brown; Lori Thomas; Manuel A R Ferreira; David Bender; Julian Maller; Pamela Sklar; Paul I W de Bakker; Mark J Daly; Pak C Sham
Journal:  Am J Hum Genet       Date:  2007-07-25       Impact factor: 11.025

4.  Social Relationships Moderate Genetic Influences on Heavy Drinking in Young Adulthood.

Authors:  Peter B Barr; Jessica E Salvatore; Hermine H Maes; Tellervo Korhonen; Antti Latvala; Fazil Aliev; Richard Viken; Richard J Rose; Jaakko Kaprio; Danielle M Dick
Journal:  J Stud Alcohol Drugs       Date:  2017-11       Impact factor: 2.582

5.  Alcoholic marriage: later start, sooner end.

Authors:  Mary Waldron; Andrew C Heath; Michael T Lynskey; Kathleen K Bucholz; Pamela A F Madden; Nicholas G Martin
Journal:  Alcohol Clin Exp Res       Date:  2011-01-18       Impact factor: 3.455

6.  Alcohol use disorders among US college students and their non-college-attending peers.

Authors:  Wendy S Slutske
Journal:  Arch Gen Psychiatry       Date:  2005-03

7.  Effect of Marriage on Risk for Onset of Alcohol Use Disorder: A Longitudinal and Co-Relative Analysis in a Swedish National Sample.

Authors:  Kenneth S Kendler; Sara Larsson Lönn; Jessica Salvatore; Jan Sundquist; Kristina Sundquist
Journal:  Am J Psychiatry       Date:  2016-05-16       Impact factor: 18.112

Review 8.  Gene × environment interaction studies have not properly controlled for potential confounders: the problem and the (simple) solution.

Authors:  Matthew C Keller
Journal:  Biol Psychiatry       Date:  2013-10-15       Impact factor: 13.382

9.  Common polygenic variation contributes to risk of schizophrenia and bipolar disorder.

Authors:  Shaun M Purcell; Naomi R Wray; Jennifer L Stone; Peter M Visscher; Michael C O'Donovan; Patrick F Sullivan; Pamela Sklar
Journal:  Nature       Date:  2009-07-01       Impact factor: 49.962

10.  Polygenic scores predict alcohol problems in an independent sample and show moderation by the environment.

Authors:  Jessica E Salvatore; Fazil Aliev; Alexis C Edwards; David M Evans; John Macleod; Matthew Hickman; Glyn Lewis; Kenneth S Kendler; Anu Loukola; Tellervo Korhonen; Antti Latvala; Richard J Rose; Jaakko Kaprio; Danielle M Dick
Journal:  Genes (Basel)       Date:  2014-04-10       Impact factor: 4.096

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