Literature DB >> 27588524

Genetics of Addiction: Future Focus on Gene × Environment Interaction?

Jacqueline M Vink1.   

Abstract

The heritability of substance use is moderate to high. Successful efforts to find genetic variants associated with substance use (smoking, alcohol, cannabis) have been undertaken by large consortia. However, the proportion of phenotypic variance explained by the identified genetic variants is small. Interestingly, there is overlap between the genetic variants that influence different substances. Moreover, there are sets of "substance-specific" genes and sets of genes contributing to a "vulnerability for addictive behavior" in general. It is important to recognize that genes alone do not determine addiction phenotypes: Environmental factors such as parental monitoring, peer pressure, or socioeconomic status also play an important role. Despite a rich epidemiologic literature focused on the social determinants of substance use, few studies have examined the moderation of genetic influences like gene-environment (G × E) interactions. Understanding this balance may hold the key to understanding the individual differences in substance use, abuse, and addictive behavior. Recommendations for future research are described in this commentary and include increasing the power of G × E studies by using state-of-the-art methods such as polygenic risk scores instead of single genetic variants and taking genetic overlap between substances into account. Future genetic studies should also investigate environmental risk factors for addictive behavior more extensively to unravel the interaction between nature and nurture. Focusing on G × E interactions not only will give insight into the underlying biological mechanism but will also characterize subgroups (based on environmental factors) at high risk for addictive behaviors. With this information, we could bridge the gap between fundamental research and applications for society.

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Year:  2016        PMID: 27588524     DOI: 10.15288/jsad.2016.77.684

Source DB:  PubMed          Journal:  J Stud Alcohol Drugs        ISSN: 1937-1888            Impact factor:   2.582


  15 in total

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2.  A genome-wide association study of cocaine use disorder accounting for phenotypic heterogeneity and gene–environment interaction

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3.  Moderation of Genetic Influences on Alcohol Involvement by Rural Residency among Adolescents: Results from the 1962 National Merit Twin Study.

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Journal:  Behav Genet       Date:  2017-09-18       Impact factor: 2.805

4.  Non-genetic factors that influence methamphetamine intake in a genetic model of differential methamphetamine consumption.

Authors:  A M Stafford; C Reed; T J Phillips
Journal:  Psychopharmacology (Berl)       Date:  2020-08-24       Impact factor: 4.530

5.  Testing Familial Transmission of Smoking With Two Different Research Designs.

Authors:  Jorien L Treur; Karin J H Verweij; Abdel Abdellaoui; Iryna O Fedko; Eveline L de Zeeuw; Erik A Ehli; Gareth E Davies; Jouke-Jan Hottenga; Gonneke Willemsen; Dorret I Boomsma; Jacqueline M Vink
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Review 6.  The Neuroscience of Drug Reward and Addiction.

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7.  Determining Risks for Cannabis Use Disorder in the Face of Changing Legal Policies.

Authors:  M Taylor; J Cousijn; F Filbey
Journal:  Curr Addict Rep       Date:  2019-10-24

8.  Sex-Dimorphic Interactions of MAOA Genotype and Child Maltreatment Predispose College Students to Polysubstance Use.

Authors:  Paula J Fite; Shaquanna Brown; Waheeda A Hossain; Ann Manzardo; Merlin G Butler; Marco Bortolato
Journal:  Front Genet       Date:  2020-01-17       Impact factor: 4.599

9.  Prevalence and Factors Associated With Hazardous Alcohol Consumption Among Motorcycle Taxi Riders in Kinondoni District, Dar-Es-Salaam, Tanzania: A Cross-Sectional Study.

Authors:  Daniel W Kitua; Titus K Kabalimu; Robert R Muindi
Journal:  East Afr Health Res J       Date:  2019-11-29

10.  Genome-Wide DNA Methylation Analysis in Male Methamphetamine Users With Different Addiction Qualities.

Authors:  Liang Liu; Tao Luo; Huixi Dong; Chenxi Zhang; Tieqiao Liu; Xiangyang Zhang; Wei Hao
Journal:  Front Psychiatry       Date:  2020-10-23       Impact factor: 4.157

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